CN105843817A - Method and apparatus for searching on terminal device, and device - Google Patents

Abstract

Embodiments of the present invention provide a method, device and equipment for searching through a terminal device. Wherein, the terminal device receives the query information input by the user, searches the query information, determines the current query sub-topic corresponding to the query information, and determines the search result of the query sub-topic; displays the query sub-topic on the screen in the form of a label Show, and show search results for at least one query subtopic. The above solution proposed by the present invention provides users with a way to refine their query requirements, that is, users can perform more accurate and refined positioning of their query requirements through simple operations such as clicking. At the same time, the query sub-topic in the form of tags is also conducive to improving the user's input efficiency, that is, the user only needs to click on the tag to input the search command for subsequent search operations. In addition, when the user selects a query subtopic, only the corresponding search results are displayed, which simplifies the output of the user's search results and improves the user's query experience.

Description

Method, device and equipment for searching on terminal equipment

technical field

The present invention relates to the technical field of terminal equipment, specifically, the present invention relates to a method, device and equipment for searching on terminal equipment.

Background technique

In recent years, with the popularity of mobile terminal devices such as smart phones and tablet computers, various applications on the traditional Internet, such as instant messaging and search engines, have also been widely used on mobile terminal device platforms. Many mobile terminal devices can access remote networks through local area networks, the Internet and other suitable networks. At the same time, the performance of the processor and memory of the mobile terminal equipment has been significantly improved, and the functions that most traditional computers can perform can already be completed.

Although mobile terminal devices have increased in processing power and memory capacity and performance, some of their limitations have remained the same. To address these limitations, software developers usually design stand-alone software versions for mobile end devices.

One limitation of mobile end devices is the small screen size. A typical full-size computing device may include a display of 12 inches (diagonal) or larger, while a typical mobile terminal device may include a display of 5.5 inches (diagonal) or smaller. Using a full-sized computing device, a computer application can include a large amount of text and interface elements such as buttons, menus, buttons, etc. On the contrary, using mobile terminal devices, computer applications usually include a smaller number of text and interface elements to simplify the interface design and highlight the main content. Therefore, by reducing the amount of information presented at a single time on the screen, it can be guaranteed that most users can read the information conveniently.

Another limitation of mobile terminal equipment is the high interaction cost. A typical full-size computing device usually includes a normal-sized keyboard and mouse as the main input devices, allowing users to input large amounts of text conveniently. When using a mobile terminal device, input can be performed through a smaller-sized keyboard, or through a touch screen. Compared with the traditional keyboard and mouse input, the input speed of these two methods is relatively slow, and the time cost that the user needs to spend is relatively high.

With the rapid growth of information on the Internet, search engines have become one of the main channels for users to obtain information. In the conventional search interface, when the user can interact with the search engine more conveniently using a larger monitor and a normal-sized keyboard and mouse, the search engine can provide the user with a relatively detailed list of search results, allowing the user Select relevant search results to read carefully. However, in the context of mobile search by mobile terminal devices, due to the inherent limitations of mobile terminal devices, the number of results that can be presented to users is very limited. At the same time, the high input cost of mobile terminal equipment increases the difficulty for users to interact with search engines, making the query requirements submitted by users often shorter, ambiguous and vague.

In order to adapt to the screen size of the mobile terminal equipment, the existing mobile terminal equipment search engine converts the search results so that the font size on the mobile terminal equipment is more suitable for human reading. At the same time, similar to full-size devices, mobile search engines provide classification of result types, such as dividing search results into different attribute types such as web pages, news, pictures, videos, etc., and provide users with the results of viewing a specific attribute type button. In addition, in order to solve the problem of difficult user interaction in the prior art, some mobile terminal devices can support retrieval by using information such as voice and images. The essence of voice retrieval is to convert the user's voice information input into text information, and then use traditional text retrieval technology to query. Image retrieval mainly uses the matching of image features in the pre-established image database to achieve retrieval, but currently there are only sample-level applications, and mature online products have not yet been born.

At present, the query information entered by the user when using the mobile search engine is usually short, which may not correctly reflect the user's search intention, that is, may have certain ambiguity, or may cover too many relevant query sub-information. Therefore, it is impossible to refine the user's query intention by only searching and obtaining search results according to the short query information, and classifying the search results according to the attribute types of the conventional search results; The amount of information provided to users is limited, and it is impossible to provide users with the information they need quickly and accurately.

Contents of the invention

The purpose of the present invention is to solve the problem of inconvenient search on the terminal device. By dynamically generating the corresponding query subtopic search method, the input efficiency of the terminal device can be effectively improved, and/or the user's query intention can be quickly clarified.

On the one hand, an embodiment of the present invention provides a method for searching on a terminal device, including the following steps:

Receive the query information entered by the user;

Searching the query information, determining a current query subtopic corresponding to the query information, and determining a search result of the query subtopic;

The query subtopics are displayed on the screen in the form of labels, and at least one search result of the query subtopics is displayed.

Another aspect of the embodiment of the present invention provides an apparatus for searching on a terminal device, including:

a receiving unit, configured to receive query information input by a user;

a search unit, configured to search the query information, determine the current query subtopic corresponding to the query information, and determine the search results of the query subtopic;

A display unit, configured to display the query subtopic in the form of labels on the screen, and display at least one search result of the query subtopic.

In the above embodiments provided by the present invention, after receiving the query information, the terminal device dynamically generates query subtopics and corresponding search results, and the query subtopics are displayed on the screen in the form of labels. In the context of limited display search results and high interaction costs caused by the limited screen size of mobile terminal devices, the dynamically generated query subtopics in the form of tags provide users with a way to refine their query needs, that is, users Through simple operations such as clicking, it is possible to perform more accurate and refined positioning on its query requirements. At the same time, the query sub-topic in the form of tags is also conducive to improving the user's input efficiency, that is, the user only needs to click on the tag to input the search command for subsequent search operations. In addition, when the user selects a query subtopic, only the corresponding search results are displayed, which simplifies the output of the user's search results and improves the user's query experience.

Additional aspects and advantages of the invention will be set forth in part in the description which follows, and will become apparent from the description, or may be learned by practice of the invention.

Description of drawings

The above and/or additional aspects and advantages of the present invention will become apparent and easy to understand from the following description of the embodiments in conjunction with the accompanying drawings, wherein:

FIG. 1 is a flowchart of a method for searching according to an embodiment of the present invention;

Fig. 2 is a flow chart of a method for searching according to a preferred embodiment of the present invention;

Fig. 3 is a flow chart of a method for searching according to another preferred embodiment of the present invention;

FIG. 4 is an example diagram of a multi-level query subtopic according to an embodiment of the present invention;

FIG. 5A is a schematic diagram of a display effect of a query sub-topic tag according to an embodiment of the present invention;

FIG. 5B is a schematic diagram of display effect of another query sub-topic tag according to an embodiment of the present invention;

Fig. 6 is a diagram showing an example of a search display effect according to a preferred embodiment of the present invention;

Fig. 7 is an example diagram of a display effect of searching according to another preferred embodiment of the present invention;

Fig. 8 is a schematic diagram of a query-link bipartite graph according to an embodiment of the present invention;

Fig. 9 is a schematic diagram of semantically related structured data collaboratively generated by users according to a preferred embodiment of the present invention;

FIG. 10 is a functional schematic diagram of a device for searching according to an embodiment of the present invention;

Fig. 11 is a functional schematic diagram of searching according to yet another preferred embodiment of the present invention;

Fig. 12 is a functional schematic diagram of a network device according to yet another preferred embodiment of the present invention.

detailed description

Embodiments of the present invention are described in detail below, examples of which are shown in the drawings, wherein the same or similar reference numerals designate the same or similar elements or elements having the same or similar functions throughout. The embodiments described below by referring to the figures are exemplary only for explaining the present invention and should not be construed as limiting the present invention.

Those skilled in the art will understand that unless otherwise stated, the singular forms "a", "an", "said" and "the" used herein may also include plural forms. It should be further understood that the word "comprising" used in the description of the present invention refers to the presence of said features, integers, steps, operations, elements and/or components, but does not exclude the presence or addition of one or more other features, Integers, steps, operations, elements, components, and/or groups thereof. It will be understood that when an element is referred to as being "connected" or "coupled" to another element, it can be directly connected or coupled to the other element or intervening elements may also be present. Additionally, "connected" or "coupled" as used herein may include wireless connection or wireless coupling. The expression "and/or" used herein includes all or any elements and all combinations of one or more associated listed items.

Those skilled in the art can understand that, unless otherwise defined, all terms (including technical terms and scientific terms) used herein have the same meaning as commonly understood by those of ordinary skill in the art to which this invention belongs. It should also be understood that terms, such as those defined in commonly used dictionaries, should be understood to have meanings consistent with their meaning in the context of the prior art, and unless specifically defined as herein, are not intended to be idealized or overly Formal meaning to explain.

Those skilled in the art can understand that the "terminal" and "terminal equipment" used here not only include wireless signal receiver equipment, which only has wireless signal receiver equipment without transmission capabilities, but also include receiving and transmitting hardware. A device having receive and transmit hardware capable of bi-directional communication over a bi-directional communication link. Such equipment may include: cellular or other communication equipment, which has a single-line display or a multi-line display or a cellular or other communication equipment without a multi-line display; PCS (Personal Communications Service, personal communication system), which can combine voice, data Processing, fax and/or data communication capabilities; PDA (Personal Digital Assistant _, Personal Digital Assistant), which may include radio frequency receiver, pager, Internet/Intranet access, web browser, notepad, calendar and/or GPS (Global Positioning System , Global Positioning System) receiver; a conventional laptop and/or palmtop computer or other device having and/or including a radio frequency receiver. As used herein, a "terminal", "terminal device" may be portable, transportable, installed in a vehicle (air, sea, and/or land), or adapted and/or configured to operate locally, and/or In distributed form, the operation operates at any other location on Earth and/or in space. The "terminal" and "terminal equipment" used here can also be communication terminals, Internet terminals, music/video playback terminals, such as PDAs, MIDs (Mobile Internet Devices, mobile Internet devices) and/or with music/video playback terminals. Functional mobile phones, smart TVs, set-top boxes and other devices.

Fig. 1 is a flowchart of a method for searching according to an embodiment of the present invention.

In step S1, the query information input by the user is received; in step S2, the query information is searched, the current query subtopic corresponding to the query information is determined, and the search results of the query subtopic are determined; in step S3, the query The subtopics are displayed on the screen in the form of tabs, and at least one search result for querying the subtopics is displayed.

In the above method provided by the present invention, after receiving the query information, the terminal device dynamically generates query subtopics and corresponding search results, and the query subtopics are displayed on the screen in the form of labels. In the context of limited display search results and high interaction costs caused by the limited screen size of mobile terminal devices, the dynamically generated query subtopics in the form of tags provide users with a way to refine their query needs, that is, users Through simple operations such as clicking, it is possible to perform more accurate and refined positioning on its query requirements. At the same time, the query sub-topic in the form of tags is also conducive to improving the user's input efficiency, that is, the user only needs to click on the tag to input the search command for subsequent search operations. In addition, when the user selects a query subtopic, only the corresponding search results are displayed, which simplifies the output of the user's search results and improves the user's query experience.

Specifically, searching for the query information by the terminal device includes: searching for the query information in local data of the terminal device; thereafter, obtaining a query subtopic corresponding to the query information and a search result of the query subtopic.

In addition, the terminal device searching for the query information also includes: the terminal device searching for the query information in the network; thereafter, obtaining a query subtopic corresponding to the query information and a search result of the query subtopic. For the application in such scenarios, please refer to the detailed description of Figure 2 and Figure 3 below.

For example, according to the query information, a search is performed in the local index database to obtain the query subtopics corresponding to the query information and the search results of the query subtopics. Wherein, the local index database includes, for example, associated information such as a file identifier, a corresponding file directory, and a disk identifier where it is located.

Wherein, the query subtopic can be generated in advance or in real time. The methods of obtaining the query subtopics corresponding to the query information and the search results of the query subtopics include any one or more of the following methods:

Analyze the search history records of the preset locally stored group users according to the query information, and generate query subtopics;

According to the query information, analyze the semantically related structured data collaboratively generated by the preset locally stored group users, and generate query subtopics;

Analyze the query recommendation information corresponding to the query information, and generate query subtopics;

Search according to the query information to obtain the corresponding search results, and cluster the search results to generate query subtopics.

Preferably, the query sub-topic includes a multi-level query sub-topic, wherein the multi-level query sub-topic includes at least two levels of query sub-topics forming a hierarchical relationship. For example, in step S3, firstly, the first-level query subtopics are displayed on the screen in the form of labels.

For example, as shown in FIG. 4 , it is an example diagram of a multi-level query subtopic according to an embodiment of the present invention. The query information is "apple", and its query subtopic includes two layers of query subtopics. The first level query subtopic includes: "apple plant" and "Apple Company"; the second level query subtopic of "apple plant" is "apple plant" Plant Introduction", "Apple Plant Culture", and "Apple Plant Fruit", the second-level query subtopics of "Apple Inc." are "Apple Inc. Applications", "Apple Inc. Products", "Apple Inc. Website" and "Apple Inc. Accessories ".

Preferably (refer to FIG. 1 ), the method further includes step S4 (not shown in the figure). In step S4, a trigger operation performed by the user on the label of any upper-level query subtopic is received, and the lower-level query subtopics included in the upper-level query subtopic are displayed on the screen in the form of labels.

Correspondingly, when the tags on the screen change, the search results in step S3 will also change accordingly. That is, the search results of at least one query subtopic are displayed in step S3, including:

The displayed search results of the query subtopic are associated with the label of the currently displayed query subtopic, or adaptively adjusted according to the label of the selected query subtopic.

Preferably (refer to FIG. 1 ), the method further includes step S5 (not shown in the figure). In step S5, when the user selects a tag corresponding to any query subtopic, the search result corresponding to the query subtopic is displayed on the screen.

Preferably, the terminal device sorts the query subtopics, and displays the sorted query subtopics in the form of labels on the screen. For example, the terminal device sorts the query subtopics to obtain the subtopic sorting results; according to the subtopic sorting results, the first-level query subtopics are displayed on the screen in the form of tags.

Among them, the way of sorting query subtopics includes:

sorting the query subtopics based on the weight of the predetermined subtopic generation method;

Calculate the coverage rate of the query subtopic on the query information, and sort the query subtopics according to the coverage rate.

Preferably, in step S3, before displaying the search results of at least one query subtopic, it further includes: sorting the search results of the query subtopics to be displayed; and then, sorting the search results of the query subtopics according to the sorted order show.

More preferably, the subtopic search results are sorted based on the user's relevant information, and the sorted subtopic search results are obtained. Wherein, the relevant information of the user includes: attribute information of the user; preference information of the user; location information of the user. Alternatively, the sorted subtopic search results are obtained based on the sorted subtopic search results based on predetermined integration sorting rules.

As an embodiment of the present invention, in practical applications, the relevant information of the user is obtained according to any one or more of the following methods:

Analyze the user's account registration information and obtain relevant information about the user;

Analyze the social relationship of the user and obtain relevant information of the user;

Analyze the user's historical search data to obtain relevant information about the user;

Obtain the current environment of the user according to the sensor, and obtain relevant information of the user;

Analyze the behavior of the user operating the terminal device to obtain relevant information about the user.

As an embodiment of the present invention, when the query subtopics are displayed on the screen in the form of labels in step S3, they will be presented in various ways. For example, the labels of query subtopics are presented in any one or more of the following ways:

Arranged in the area above or below the search bar;

Arranged display in the left or right area of the screen;

Displayed vertically in the upper or lower area of the screen.

As shown in FIG. 5A , it is a schematic diagram of a query subtopic tag display effect according to an embodiment of the present invention; the tags of the query subtopic are located in the lower area of the search bar and in the left area of the screen, and are displayed in a vertical arrangement.

FIG. 5B is a schematic diagram showing another query subtopic tag display effect according to an embodiment of the present invention; the tags of the query subtopic are located in the lower area of the search bar and in the upper area of the screen, and are displayed in a horizontal arrangement.

Correspondingly, in practical applications, as shown in FIG. 6 , it is an example diagram of a search display effect according to a preferred embodiment of the present invention; the label of the query subtopic is located in the lower area of the search bar and in the left area of the screen, so as to Displayed vertically.

Correspondingly, in practical applications, as shown in FIG. 7 , it is an example diagram of a search display effect according to another preferred embodiment of the present invention; the label of the query subtopic is located in the lower area of the search bar and in the upper area of the screen, Displayed in a horizontal arrangement.

In addition, in practical applications, in order to facilitate user input, the layout of the screen can be adaptively adjusted. For example, the positions of the labels are laid out in a manner opposite to that shown in FIG. 5B and FIG. 7 , so that the labels of the query subtopic are located in the lower area of the screen and displayed in a horizontal arrangement. At this time, even if the terminal device is held with one hand, the label of the query sub-topic required by the user can be conveniently selected through the operation of the thumb.

Preferably (refer to FIG. 1 ), the method further includes step S6 (not shown in the figure). In step S6, a user's position adjustment operation is received, and the display position of the label corresponding to the query subtopic on the screen is adjusted according to the position adjustment operation.

Fig. 2 is a flowchart of a method for searching according to a preferred embodiment of the present invention.

In step S110, the terminal device sends the query information input by the user to the network device; in step S120, the network device receives the query information sent by the terminal device, and dynamically generates corresponding query subtopics according to the query information; in step S130, the network The device searches according to the query subtopic, and determines the search result of the query subtopic; in step S140, the network device sends the query subtopic and the search result of the query subtopic to the terminal device; in step S150, the terminal device receives the query sent by the network device The query subtopics and the search results of the query subtopics dynamically generated according to the query information; in step S160, the terminal device displays the query subtopics in the form of tags on the screen, and displays at least one search result of the query subtopics.

It should be understood that the embodiments disclosed in the present invention are only described by taking the terminal device and the network device as examples, which are only for better describing the present invention, rather than limiting the present invention. It should be understood that part or all of the functions in the network device can also be implemented in the terminal device, and all the technical solutions disclosed in the present invention can be realized through the terminal device.

In a preferred embodiment (refer to FIG. 2 ), in step S120, the network device dynamically generates a corresponding query subtopic according to the query information, which specifically includes: analyzing the search history records of group users according to the query information, and generating a query subtopic.

One implementation is: step S120 includes step S121 (not shown in the figure) and step S122 (not shown in the figure); in step S121, according to the group query sequence recorded in the group user's search history and the user click The corresponding relationship between the network resource addresses establishes the query-link bipartite graph, and uses the random walk function to calculate the similarity between multiple group query sequences related to the query information and the query information based on the query-link bipartite graph, and determine how many The similarity between a group query sequence and the query information; in step S122, a query subtopic is generated based on the similarity; wherein, the group query sequence refers to the query information input by a large number of users in the historical search process.

In this embodiment, the search history records of group users include multiple group query sequences and the network resource addresses clicked by users corresponding to each group query sequence, such as URL (Uniform Resource Locator, Uniform Resource Locator). As shown in Figure 8, the query-link bipartite graph is established according to the group query sequence and the corresponding URL; wherein, the vertices of the query-link bipartite graph are composed of two mutually disjoint sets, and one set is the query sequence set, which is The left half of Figure 8 contains the group query sequence submitted by the group users; the other set is the network resource address collection, which is the right half of Figure 8 and contains the network resource addresses clicked by the user during the search process; in the query-link 2 In the partial graph, the query sequence set contains multiple query nodes q, and the network resource address set contains multiple link nodes u. The weight of the edge from the query sequence q to the web resource address link u indicates the number of clicks on u after the submission q recorded in the search history. According to the query-link bipartite graph, the transition probability between the left and right query nodes is determined; then, based on the query-link bipartite graph, a predetermined number of query sequences with the highest arrival probability are selected through a random walk function.

On the bipartite graph G=({V1,V2},E), first define the transition probability from the vertex i in the query sequence set to the adjacent network resource address set vertex j as the following formula 1):

${\mathrm{<span\; class="notranslate">\; p</span>}}_{\mathrm{<span\; class="notranslate">\; i</span>}<span\; class="notranslate">\; ,</span>\mathrm{<span\; class="notranslate">\; j</span>}}<span\; class="notranslate">\; =</span>\frac{{\mathrm{<span\; class="notranslate">\; w</span>}}_{\mathrm{<span\; class="notranslate">\; i</span>}<span\; class="notranslate">\; ,</span>\mathrm{<span\; class="notranslate">\; j</span>}}}{{\mathrm{<span\; class="notranslate">\; d</span>}}_{\mathrm{<span\; class="notranslate">\; i</span>}}}<span\; class="notranslate">\; -</span><span\; class="notranslate">\; -</span><span\; class="notranslate">\; -</span>\mathrm{<span\; class="notranslate">\; 1</span>}<span\; class="notranslate">\; )</span>$

in,

d _i = Σ _{(i, j) ∈ E} w _{i, j} 2)

In the above formula 2), w _{i, j} is the weight of the directed edge E _{i, j} on the query-link bipartite graph; d _i is the sum of the weights of all the edges connected to the vertex i.

Based on formula 1) and formula 2), define a 2-step random walk process on the query-link bipartite graph, as the following formula 3):

${\mathrm{<span\; class="notranslate">\; p</span>}}_{\mathrm{<span\; class="notranslate">\; i</span>}<span\; class="notranslate">\; ,</span>\mathrm{<span\; class="notranslate">\; j</span>}}<span\; class="notranslate">\; =</span>{\mathrm{<span\; class="notranslate">\; \&Sigma;</span>}}_{\mathrm{<span\; class="notranslate">\; k</span>}<span\; class="notranslate">\; \&Element;</span>{\mathrm{<span\; class="notranslate">\; v</span>}}_{\mathrm{<span\; class="notranslate">\; 2</span>}}}\mathrm{<span\; class="notranslate">\; p</span>}<span\; class="notranslate">\; (</span>\mathrm{<span\; class="notranslate">\; i</span>}<span\; class="notranslate">\; ,</span>\mathrm{<span\; class="notranslate">\; k</span>}<span\; class="notranslate">\; )</span><span\; class="notranslate">\; *</span>\mathrm{<span\; class="notranslate">\; p</span>}<span\; class="notranslate">\; (</span>\mathrm{<span\; class="notranslate">\; k</span>}<span\; class="notranslate">\; ,</span>\mathrm{<span\; class="notranslate">\; j</span>}<span\; class="notranslate">\; )</span><span\; class="notranslate">\; -</span><span\; class="notranslate">\; -</span><span\; class="notranslate">\; -</span>\mathrm{<span\; class="notranslate">\; 3</span>}<span\; class="notranslate">\; )</span>$

On the query-link bipartite graph, between any two query sequences, calculate and determine the P value through formula 3), which is the similarity between the two query sequences; The similarity between sequences; selecting a plurality of similar query sequences whose similarity is greater than a predetermined similarity threshold; when the selected similar query sequence includes text information of the query information, determine that the similar query sequence is a query subtopic of the query information.

In one example, the query information is "Cherry (cherry)". On the query-link bipartite graph, the query node corresponding to "Cherry" is found from the query sequence set in the left half, and then the other nodes and "Cherry" are calculated respectively. "The similarity of the node can be obtained in the following table 1):

Table 1)

Similarity Group Query Sequence Similarity Cherry keyboard 0.983 cherry keyboard 0.763 CherryMovies 0.743 Cherry mechanical keyboard comparison 0.732 Cherry cast 0.543 ... ...

According to the above table 1), the similarity of similar group query sequences "cherry keyboard", "cherry movie", "cherry mechanical keyboard comparison", "cherry actor list" and "Cherry" is greater than the predetermined similarity threshold of 0.5, and all include Query information "cherry", it can be determined that "cherry keyboard", "cherry movie", "cherry mechanical keyboard comparison", "cherry cast" are query subtopics of "cherry".

In this preferred embodiment, the process of user search is the process of selecting search results related to query information, which reflects the user's implicit feedback on semantic correlation; Mining relevant query subtopics on the graph can generate query subtopics more accurately and dynamically.

Another implementation is: in step S120, the network device generates query subtopics according to the refined query information associated with the query information that is further input by the group users recorded in the search history records during the search process based on the query information

Specifically, according to the query information, the refined query information associated with the query information that is further input in the search process recorded in the search history records of the group users, such as analyzing the update information of the query information, generates query subtopics; Wherein, the refined query information includes information after operations such as adding, modifying, and sorting the query information.

In an example, the query information entered by the user is "cherry", and the group user's search history records record the group user's search process for "cherry", and the refined query information for "cherry" is further refined as shown in Table 2) Shown:

Table 2)

Refine the query information during the query process Group user refinement behavior frequency statistics Cherry keyboard 3422 Cherry IMDB 2332 Cherry Address 1233 Cherry online shop 1002 ... ...

As shown in Table 2), the group user’s refined behavior frequency statistics are the number of times users refine “cherry” into a certain refined query sequence, and the query sequence whose group user’s refined behavior frequency is higher than the predetermined frequency threshold can be counted as a query subtopic.

In this preferred embodiment, the user will further perform update operations such as adding, modifying, or reorganizing the query information during the search process; the updated query information can be recorded in the search history record, and relevant query subclasses can be performed on the updated query information Topic mining can also dynamically generate query subtopics more accurately.

In yet another preferred embodiment (refer to FIG. 2 ), in step S120, the way in which the network device dynamically generates the corresponding query subtopic according to the query information specifically includes: synchronously generating semantically relevant structured information for group users based on the query information The data is analyzed to generate query subtopics.

Specifically, the semantically related structured data collaboratively generated by group users includes encyclopedia information collaboratively generated by group users, such as data with structured characteristics such as Wikipedia and Baidu Baike. For example, if the query information is "Samsung", Baidu Encyclopedia related information of "Samsung" is found in the network database as the semantically related structured data that is collaboratively generated by the group users corresponding to the query information. As shown in Figure 9, the semantically related structured data generated collaboratively by group users is Baidu Encyclopedia, and the entry name is "Samsung", and the structured data related to the semantics of "Samsung" generated collaboratively by group users is Directory Structure. First, analyze the directory structure of this type, extract the directory names in the first and second layer directory structures, and when the directory name does not contain the entry name, add the entry name before the directory name as a query subtopic ; When the catalog name includes the item name, the catalog name is directly used as the query subtopic; for example, in the catalog structure shown in Figure 7, the catalog name "business scale" does not include the item name "Samsung", then the catalog name Complete it with "Samsung Business Scale" and use it as a query subtopic for the query information "Samsung"; you can directly use "China Samsung" as a query subtopic.

In yet another preferred embodiment (refer to FIG. 2 ), in step S120, the network device dynamically generates the corresponding query subtopic according to the query information, which specifically includes: analyzing the query recommendation information corresponding to the query information, and generating the query subtopic topic.

Specifically, the network device finds query recommendation information related to the query information in the network database, and uses the query recommendation information as a query subtopic.

This preferred embodiment utilizes that the current mainstream search engine will provide the user with search results based on the query information during the search process, and at the same time provide a plurality of query recommendation information related to the query information. Under the premise of the user, select the relevant query recommendation information by clicking the mouse, so as to describe your query needs more accurately. These query recommendation information may also be based on the further refinement of the original query information requirements, so they can also be used as query subtopics.

In yet another preferred embodiment (refer to FIG. 2 ), in step S120, the network device dynamically generates a corresponding query subtopic according to the query information, which specifically includes: clustering the search results of the query information to generate the Query subtopics.

A specific implementation manner is: step S120 includes step S123 (not shown in the figure), step S124 (not shown in the figure) and step S125 (not shown in the figure). In step S123, search according to the query information to obtain the corresponding search results; in step S124, based on the TF-IDF model, the search results are clustered by a clustering algorithm to determine a plurality of search result clusters; in step S125 , selecting a predetermined number of keywords with the highest TF-IDF values in the search result cluster as query subtopics corresponding to the search result cluster.

Specifically, in step S123, the search is performed according to the query information, and the search engine feeds back a plurality of corresponding search results; Clustering, to identify multiple clusters of search results;

Clustering based on the TF-IDF model through the k-means algorithm is specifically: each search result page document can be represented by a multi-dimensional vector, and a certain dimension of the multi-dimensional vector represents a TF-IDF model, expressed by the following formula:

${\mathrm{<span\; class="notranslate">\; f</span>}}_{\mathrm{<span\; class="notranslate">\; w</span>}<span\; class="notranslate">\; ,</span>\mathrm{<span\; class="notranslate">\; d</span>}}<span\; class="notranslate">\; =</span><span\; class="notranslate">\; (</span>\mathrm{<span\; class="notranslate">\; 0.5</span>}<span\; class="notranslate">\; +</span>\frac{\mathrm{<span\; class="notranslate">\; 0.5</span>}{\mathrm{<span\; class="notranslate">\; freq</span>}}_{\mathrm{<span\; class="notranslate">\; w</span>}<span\; class="notranslate">\; ,</span>\mathrm{<span\; class="notranslate">\; d</span>}}}{{\mathrm{<span\; class="notranslate">\; max</span>}}_{\mathrm{<span\; class="notranslate">\; d</span>}}\mathrm{<span\; class="notranslate">\; freq</span>}}<span\; class="notranslate">\; )</span><span\; class="notranslate">\; \&times;</span>\mathrm{<span\; class="notranslate">\; log</span>}\frac{\mathrm{<span\; class="notranslate">\; N</span>}}{{\mathrm{<span\; class="notranslate">\; no</span>}}_{\mathrm{<span\; class="notranslate">\; w</span>}}}<span\; class="notranslate">\; -</span><span\; class="notranslate">\; -</span><span\; class="notranslate">\; -</span>\mathrm{<span\; class="notranslate">\; 4</span>}<span\; class="notranslate">\; )</span>$

Among them, f _{w, d} represent the feature value of the word w in the page document d of the search results, freq _{w, d} represents the frequency of w appearing in d, max _d freq represents the frequency of the word with the highest frequency in d, and n _w represents The number of all search result page documents where w has appeared, and N represents the number of all search result page documents.

Based on the above formula 4), after calculating the vectors of all search result page documents including words, the search result page documents are clustered through the k-means algorithm to determine a plurality of search result clusters, wherein each search result cluster corresponds to a classification ; Wherein, the parameter k can be preset in the K-means algorithm, and the parameter k refers to the number of query subtopics; after the clustering is completed, select the n _k words with the highest TF-IDF value in each search result cluster as the search result The query subtopic corresponding to the cluster.

Preferably, the query subtopic includes a multi-level query subtopic, wherein the multilevel query subtopic includes at least two query subtopics forming an upper-lower hierarchical relationship, and the upper-level query subtopic includes at least one lower-level query subtopic.

For example, as shown in Figure 4, the query information is "apple", and its query subtopic includes two layers of query subtopics, the first level query subtopic includes: "apple plant" and "apple company"; the first level query subtopic of "apple plant" The second-level query subtopics are "Apple Plant Introduction", "Apple Plant Culture" and "Apple Plant Fruit", and the second-level query subtopics of "Apple Company" are "Apple Company Applications", "Apple Company Products", "Apple Company Company Website” and “Apple Accessories.”

Preferably, in step S120, the network device dynamically generates a corresponding query subtopic according to the query information, specifically: dynamically generates a corresponding lower layer query subtopic according to an upper layer query subtopic.

Specifically, the network device dynamically generates corresponding first-level query subtopics according to the query information; then, dynamically generates its corresponding second-level query subtopics according to each first-level query subtopic; According to the above steps, it is dynamically generated sequentially by the upper-level query subtopics.

After step S120 is executed, step S130, step S140, and step S150 are executed in sequence, and then, in step S160, the terminal device displays the query subtopic on the screen in the form of labels, and displays at least one query subtopic search result.

Preferably (refer to FIG. 2 ), the terminal device displays the query subtopics in the form of labels on the screen, specifically including: displaying the first level query subtopics in the form of labels on the screen. More preferably, the first-level query subtopic is displayed on the screen in the form of a label, and at the same time, all lower-level query subtopics of the first-level query subtopic are hidden from display on the screen.

Wherein, the manner in which the query subtopic is displayed on the screen in the form of a label includes any one or more of the following manners:

Arranged in the area above or below the search bar;

Arranged display in the left or right area of the screen;

Displayed vertically in the upper or lower area of the screen.

In a preferred embodiment (refer to FIG. 2 ), the method for searching in a terminal device further includes step S170 (not shown in the figure); An operation is triggered to display the lower-level query subtopics included in the upper-level query subtopic in the form of labels on the screen.

For example, the query subtopic corresponding to the query information is a two-level query subtopic, and the first level query subtopic is displayed on the screen in the form of a label; Operation, such as a trigger operation performed by finger touch, finger hover touch, etc., one or more second-level query subtopics corresponding to the first-level query subtopic are displayed on the screen in the form of labels .

In this preferred embodiment, by providing a multi-level query subtopic display method, users can refine their query requirements by triggering layer by layer, that is, only the first level query subtopic is provided when the query subtopic is displayed for the first time, if the user wants to refine it again , then further display the second-level query sub-topic; if the first-level query sub-topic can meet the user's query needs, then there is no need to display the second-level query sub-topic, which achieves layer-by-layer in a more compact way on the terminal screen The purpose of displaying the query sub-topics is to achieve the purpose of providing users with query sub-topics that better meet their query requirements, and at the same time meet the requirement of displaying information in a compact manner on a smaller terminal screen.

Fig. 3 is a flowchart of a method for searching according to a preferred embodiment of the present invention.

As shown in Figure 3, in step S210, the terminal device sends the query information input by the user to the network device; in step S220, the network device receives the query information, and dynamically generates corresponding query subtopics according to the query information; In S230, search according to the query subtopic, determine the search result of the query subtopic; in step S240, sort the query subtopic, determine the subtopic sorting result; in step S250, combine the subtopic sorting result and the query The search results of subtopic query subtopics are sent to the terminal device; in step S260, the terminal device receives the query subtopic dynamically generated according to the query information, the search results of the query subtopic, and the subtopic ranking results after sorting the query subtopics ; In step S270, according to the sorting results of the subtopics, the first-level query subtopics are displayed in order on the screen in the form of labels, and the search results of at least one query subtopic are displayed.

Among them, the manner of sorting and processing the query subtopics specifically includes:

1) Based on the weight of the predetermined subtopic generation method, the query subtopics are sorted.

Specifically, it is predetermined that different subtopic generation methods have different weights, for example, the method of analyzing the query recommendation information corresponding to the query information to generate the query subtopic, and the semantically related structured data collaboratively generated by group users according to the query information. The way the analysis generates query subtopics is given higher weight. Based on the weight value of the predetermined subtopic generation method, the weight value of each query subtopic corresponding to the subtopic generation method is added to determine the total weight value; then, the query subtopics are sorted according to the total weight value. Among them, the query subtopic from multiple subtopic generation methods has a higher weighted result; the query subtopic from one subtopic generation method has a lower weighted result.

The method of sorting query subtopics, including:

2) Calculate the coverage rate of the query subtopics on the query information, and sort the query subtopics according to the coverage rate.

Specifically, the higher the coverage rate of the query subtopic on the original query information, the higher the ranking position of the query subtopic; wherein, the coverage rate can be calculated using the following formula 5):

$\mathrm{<span\; class="notranslate">\; coverage\; rage</span>}<span\; class="notranslate">\; =</span>\frac{<span\; class="notranslate">\; |</span>{\mathrm{<span\; class="notranslate">\; query</span>}}_{\mathrm{<span\; class="notranslate">\; orig</span>}}<span\; class="notranslate">\; \&cap;</span>\mathrm{<span\; class="notranslate">\; quer</span>}{\mathrm{<span\; class="notranslate">\; the\; y</span>}}_{\mathrm{<span\; class="notranslate">\; subtopic</span>}}<span\; class="notranslate">\; |</span>}{<span\; class="notranslate">\; |</span>{\mathrm{<span\; class="notranslate">\; query</span>}}_{\mathrm{<span\; class="notranslate">\; orig</span>}}<span\; class="notranslate">\; |</span>}<span\; class="notranslate">\; -</span><span\; class="notranslate">\; -</span><span\; class="notranslate">\; -</span>\mathrm{<span\; class="notranslate">\; 5</span>}<span\; class="notranslate">\; )</span>$

According to the above formula 5), the coverage rate of each query subtopic on the query information is calculated, and the query subtopics are sorted according to the coverage rate.

In another preferred embodiment (refer to FIG. 3 ), in step S270, before displaying the search results of at least one query subtopic, step S261 is also included; in step S261, sorting the search results of the query subtopics to be displayed ; Subsequently, in step 270, the query subtopics are displayed on the screen in the form of labels, and according to the sorting results of the subtopic search results, the sorted subtopic search results associated with the query subtopics are displayed on the screen .

Wherein, the manner of sorting and processing the subtopic search results includes:

1) Based on the relevant information of the user, the subtopic search results are sorted.

Specifically, according to the attribute information of the user, the preference information of the user, the location information of the user, etc., perform weight calculation on the subtopic search results, obtain the weighted results, and sort the subtopic search results according to the weighted results. For example, for a user whose preference information is "fashion, gourmet", when querying information "cherry", the subtopic search results of query subtopics "cherry movie", "cherry restaurant" and so on are ranked in the top position, while "cherry keyboard The subtopic search results of " are ranked in the lower position; another example, the terminal device determines that the user's geographical location is very close to a restaurant named "cherry restaurant" through GPS, and the user's terminal device is moving at 50km/h , when the user submits the query information "cherry", the subtopic search results of the query subtopic "cherryrestaurant" will be ranked in the front position.

As an embodiment of the present invention, the terminal device obtains relevant information of the user according to any one or more of the following methods:

Analyze the user's account registration information and obtain relevant information about the user;

Analyze the social relationship of the user and obtain relevant information of the user;

Analyze the user's historical search data to obtain relevant information about the user;

Obtain the current environment of the user according to the sensor, and obtain relevant information of the user;

Analyze the behavior of the user operating the terminal device to obtain relevant information about the user.

a. Analyze the user's account registration information

Users usually can create personal accounts on search engines, and often log in to use search engines or other related services. For example, Google users can log in to their accounts to use email services, Baidu users can log in to their accounts to use online disk services, Bing users can log in to their accounts to use services related to Office software, and Sogou users can log in to their accounts to synchronize data related to input methods.

During the process of registering an account, the user often leaves information related to his gender, region, education, occupation, etc., and the terminal device can obtain the user's attribute information by analyzing the user's account registration information.

For example, if a user logs in his account on a mobile phone, the user will enter relevant and necessary information, such as gender, birthday, occupation, etc. For a user:

Name: Wang xx;

Gender: Female;

age: 24;

Occupation: white collar;

Hobbies: movies, fashion.

For this user, when he searches for "cherry", by analyzing the potential interest of the user, the results related to subtopics such as "cherry movie", "cherry jewelry", and "cherry restaurant" are ranked in the front position, and the Results related to "cherry keyboard" are ranked lower.

b. Analyze the user's social relationship

The user's social relationship can be used to analyze the relevant information of its users. For example, the user's location can be analyzed through the data of Renren.com; the user's age, industry, and focus can be analyzed by using the information of his friends, and the user's attribute information and information can be obtained through the analysis of his social relationship. User Preference Information.

For example, a user logs in to his Weibo account on a mobile phone, and analyzes the topics of common interest in his circle of friends, and finds that the topics that his circle of friends pay more attention to are mainly Internet, IT consulting, computer science and other topics. Therefore, it can be inferred from the user's preference information that the user is likely to be a researcher or developer related to computer science. When searching for "cherry", in the query results, "cherry keyboard", "cherry toolkit " and other results in the front position.

c. Analyze the user's historical search data

A search engine is a network service frequently used by most network users. Therefore, users will accumulate certain behavioral data in the search engine. The terminal device can obtain relevant information of the user by analyzing the search results clicked by the user before and analyzing attributes such as focus and education level of the user.

d. Obtain the current environment of the user according to the sensor

There are usually a series of sensors on mobile devices, and these sensors can obtain real-time information of a large number of users' environment at that time. For example, the current geographical location of the user is obtained through GPS data; through the movement of the geographical location, it is judged whether the user is taking a relevant vehicle; through the sound data, it is judged whether the user is in a public place or a relatively quiet and private place .

For example, the mobile terminal device can obtain the user's geographical location. When the user submits the query "cherry", when the sensor finds that the user's geographical location is very close to a restaurant called "cherryrestaurant", and the user's mobile terminal device is in the During a movement of 50km/h. Based on the comprehensive judgment of the above information, the user is likely to be taking a vehicle to eat at a restaurant called cherry. Therefore, according to the relevant information of these users, in the sorted search results, the results related to "cherry restaurant" should be ranked at the top.

e. Analyze the behavior of users operating terminal equipment

Mobile terminal equipment usually integrates a series of functions such as communication, web browsing, and electronic office. Therefore, it is possible to analyze the information concerned and the operations performed by the user before using the mobile terminal device to search, so as to understand the information needs of the user more accurately and obtain relevant information of the user. Among the sorted search results, according to the obtained relevant information of the user, the search result most likely to be selected by the user is provided to the user.

The method for sorting the subtopic search results also includes:

2) Sorting the subtopic search results based on predetermined integration sorting rules.

Specifically, for each query subtopic, the frequency of user clicks is used to calculate the importance of the query subtopic; during the sorting process, the highest ranking is selected from the search results of the query subtopics whose importance is higher than the predetermined importance threshold. A sub-topic search result, while reducing the importance of the query sub-topic; select sub-topic search results from sub-topic search results corresponding to different query sub-topics in the above manner until a preset number of sub-topic search results are obtained.

In the process of integrating and sorting subtopic search results, it is necessary to consider the importance of different query subtopics. The subtopic search results of query subtopics with high importance are ranked first, and the subtopic search results of low important query subtopics are sorted. Later. At the same time, after the subtopic search results corresponding to a query subtopic have been selected, the importance of the query subtopic is reduced, so that subtopic search results corresponding to other query subtopics have a greater chance to be selected for display.

In this preferred embodiment, when the user's personalized information is insufficient, or the correlation between the personalized information and the query information is low, the integrated and sorted subtopic search results can be displayed to the user, so as to satisfy different queries of different users need.

Preferably, in step S270, the first-level query subtopics are displayed on the screen in the form of labels, and the subtopic search results corresponding to the query subtopics and sorted based on predetermined integrated sorting rules are displayed on the screen. displayed on the

As shown in FIG. 5A , on the left half of the search result page, labels of multiple first-level query subtopics of the query information are displayed, and labels of integrated search results sorted based on predetermined integration sorting rules are displayed. In a specific application scenario, when the user enters query information and clicks to search, the integrated query subtopic search results sorted based on predetermined integrated sorting rules are displayed by default.

In yet another preferred embodiment (refer to FIG. 3 ), the method further includes step S271 (not shown in the figure), in step S271, when the user selects a label corresponding to any query subtopic, the query subtopic The search results corresponding to the topic are displayed on the screen.

Specifically, when the user needs to view the search results of a certain first-level query subtopic, he can click the label of the corresponding first-level query subtopic, and the corresponding search results of the first-level query subtopic will be displayed; When a first-level query sub-topic is a lower-level query sub-topic, you can refine the query sub-topic and the corresponding search results by clicking the query sub-topic on the left side of the interface multiple times. For example, when the user enters the query information as "cherry", firstly, the label of a first-level query subtopic "cherry keyboard" of "cherry" is displayed on the left side of the interface, and the user clicks the label of "cherry keyboard" to select the query subtopic For the topic "cherrykeyboard", the search results corresponding to "cherry keyboard" are displayed in the search result display area in the middle of the interface, and the second level of "cherry keyboard" is displayed under the first-level query subtopic "cherry keyboard" label on the left side of the interface Query the tags of subtopics "cherry keyboard review", "cherry keyboard history" and "cherry keyboard price"; after the user clicks and selects the tag "cherry keyboard price", the search result display area in the middle of the interface will display the corresponding "cherry keyboard price" The search results of the subtopics; the above filter search steps are continuously performed until the user obtains satisfactory subtopic search results.

In yet another preferred embodiment (refer to FIG. 3 ), the method further includes step S272 (not shown in the figure), in step S272, receiving the user's position adjustment operation, and adjusting the label corresponding to the query subtopic according to the position adjustment operation display position on the screen.

Specifically, the terminal device receives the user's position adjustment operation, such as a drag operation on the entire display area of the query sub-hashtag, or a drag operation on a query sub-hashtag, etc., and can adjust the query according to these position adjustment operations. The display position of the label corresponding to the subtopic in the overall display area on the screen or the display position of a query subtopic label.

It has been explained above that some or all of the functions in the network device can also be implemented in the terminal device. Therefore, in the above embodiment, the processing of sorting the query subtopics in step S240 may also be performed on the terminal device. At this time, the above steps S220 to S250 need adaptive adjustment. In addition, step S210 can also be adjusted, for example, without sending to the network device, the terminal device realizes information query by accessing the network, and the functions of subsequent steps S220 to S250 are all implemented on the terminal device.

In the above method provided by the present invention, after receiving the query information, the terminal device dynamically generates query subtopics and corresponding search results, and the query subtopics are displayed on the screen in the form of labels. In the context of limited display search results and high interaction costs caused by the limited screen size of mobile terminal devices, the dynamically generated query subtopics in the form of tags provide users with a way to refine their query needs, that is, users Through simple operations such as clicking, it is possible to perform more accurate and refined positioning on its query requirements. At the same time, the query sub-topic in the form of tags is also conducive to improving the user's input efficiency, that is, the user only needs to click on the tag to input the search command for subsequent search operations. In addition, when the user selects a query subtopic, only the corresponding search results are displayed, which simplifies the output of the user's search results and improves the user's query experience.

As shown in FIG. 10 , it is a functional schematic diagram of an apparatus for searching according to an embodiment of the present invention.

The device for searching on a terminal device provided by the present invention includes: a receiving unit 110 , a searching unit 120 and a display unit 130 . Specifically, the receiving unit 110 is used to receive the query information input by the user; the search unit 120 is used to search the query information, determine the current query subtopic corresponding to the query information, and determine the search results of the query subtopic; thereafter, The display unit 130 is configured to display the query subtopics in the form of labels on the screen, and display the search results of at least one query subtopic.

Wherein, as an embodiment of the device of the present invention, the search unit 120 is used to search the query information, including:

The search unit 120 is configured to search the query information in the local data of the terminal device; or,

The search unit 120 is used to search the query information in the network.

Specifically, the search unit 120 searches the local index database to obtain the query subtopic corresponding to the query information and the search results of the query subtopic. Wherein, the local index database includes, for example, associated information such as a file identifier, a corresponding file directory, and a disk identifier where it is located.

The search unit 120 searches for the query information, and further includes: the search unit 120 searches for the query information in the network, for example, exchanges with network devices as shown in FIG. 12 . Thereafter, the search unit 120 acquires the query subtopic corresponding to the query information and the search results of the query subtopic.

Wherein, as an embodiment of the apparatus of the present invention, the search unit 120 is used to determine the current query subtopic corresponding to the query information, including any one or more of the following methods:

The search unit 120 is used to analyze the user's search records and generate query subtopics;

The search unit 120 is used to analyze the structured data collaboratively generated by users, and generate query subtopics;

The search unit 120 is configured to analyze the query recommendation information of the query information, and generate query subtopics;

The search unit 120 is configured to cluster the search results of the query information to generate query subtopics.

Wherein, as an embodiment of the apparatus of the present invention, the query sub-topic includes a multi-level query sub-topic, wherein the multi-level query sub-topic includes at least two layers of query sub-topics that constitute a hierarchical relationship.

For example, as shown in Figure 4, the query information is "apple", and its query subtopic includes two layers of query subtopics, the first level query subtopic includes: "apple plant" and "apple company"; the first level query subtopic of "apple plant" The second-level query subtopics are "Apple Plant Introduction", "Apple Plant Culture" and "Apple Plant Fruit", and the second-level query subtopics of "Apple Company" are "Apple Company Applications", "Apple Company Products", "Apple Company Company Website” and “Apple Accessories.”

Wherein, as an embodiment of the device of the present invention, the display unit 130 is used to display the query subtopics on the screen in the form of labels, including:

The display unit 130 is configured to display the first-level query subtopics in the form of labels on the screen.

Wherein, as an embodiment of the device of the present invention, the receiving unit 110 is used to receive a trigger operation performed by the user on the label of any upper-level query subtopic, and the display unit 130 is used to display the lower-level query subtopics included in the upper-level query subtopic, in order to The tabbed form is displayed on the screen.

Wherein, as an embodiment of the apparatus of the present invention, the display unit 130 is used to display the search results of at least one query subtopic, including:

The search result of the query subtopic displayed by the display unit 130 is associated with the label of the currently displayed query subtopic, or adaptively adjusted according to the label of the selected query subtopic.

Wherein, as an embodiment of the device of the present invention, the display unit 130 is used for adaptive adjustment according to the label of the selected query subtopic, including:

When detecting that the user selects a tag corresponding to any query subtopic, the display unit 130 is configured to display the search results corresponding to the query subtopic on the screen.

As shown in FIG. 11 , it is a functional schematic diagram of searching according to another preferred embodiment of the present invention.

As an embodiment of the apparatus of the present invention, the search unit 120 also includes a subtopic sorting unit 121,

The subtopic sorting unit 121 is used to sort the query subtopics, and the display unit 130 is used to display the sorted query subtopics on the screen in the form of labels.

Wherein, as an embodiment of the apparatus of the present invention, the subtopic sorting unit 121 is used to sort the query subtopics, including:

The subtopic sorting unit 121 is configured to perform sorting processing based on predetermined subtopic generation weights; or,

The subtopic sorting unit 121 is configured to sort the coverage of the query information based on the query subtopics.

Wherein, as an embodiment of the apparatus of the present invention, the search unit 120 further includes a search result sorting unit 122,

Before displaying the search results of at least one query subtopic, the search result sorting unit 122 is used to sort the search results of the query subtopics to be displayed;

The display unit 130 is configured to display the search results of the query subtopics in a sorted order.

Wherein, as an embodiment of the apparatus of the present invention, the search result sorting unit 122 is used to sort the search results of the query subtopics to be displayed, including:

The search result sorting unit 122 is configured to sort the search results of the query subtopic based on the relevant information of the user; or,

The search result sorting unit 122 is configured to sort the search results of the query subtopics based on predetermined integrated sorting rules.

Wherein, as an embodiment of the device of the present invention, the relevant information of the user obtained by the search result sorting unit 122 includes any one or more of the following:

User attribute information;

User preference information;

User's location information.

Wherein, as an embodiment of the device of the present invention, the search result sorting unit 122 is used to obtain relevant information of users according to any one or more of the following methods:

Analyze the user's account registration information and obtain relevant information about the user;

Analyze the social relationship of the user and obtain relevant information of the user;

Analyze the user's historical search data to obtain relevant information about the user;

Obtain the current environment of the user according to the sensor, and obtain relevant information of the user;

Analyze the behavior of the user operating the terminal device to obtain relevant information about the user.

Wherein, as an embodiment of the apparatus of the present invention, the manner in which the display unit 130 is used to display the query subtopics in the form of labels on the screen includes any one or more of the following manners:

Arranged in the area above or below the search bar;

Arranged display in the left or right area of the screen;

Displayed vertically in the upper or lower area of the screen.

As shown in FIG. 5A , the display unit 3 displays tags of the query subtopics in a vertical arrangement in the lower area of the search bar and in the left area of the screen.

As shown in FIG. 5B , the display unit 3 displays the labels of the query subtopics in a horizontal arrangement in the lower area of the search bar and in the upper area of the screen.

Correspondingly, in practical applications, as shown in FIG. 6 , it is an example diagram of a search display effect according to a preferred embodiment of the present invention; the label of the query subtopic is located in the lower area of the search bar and in the left area of the screen, so as to Displayed vertically.

Correspondingly, in practical applications, as shown in FIG. 7 , it is an example diagram of a search display effect according to another preferred embodiment of the present invention; the label of the query subtopic is located in the lower area of the search bar and in the upper area of the screen, Displayed in a horizontal arrangement.

In addition, in practical applications, in order to facilitate user input, the display unit 3 can adaptively adjust the layout of the screen. For example, the position of the tags is laid out in a manner opposite to that shown in FIG. 5B and FIG. 7 , and the display unit 3 makes the tags of the query subtopic located in the lower area of the screen and displayed in a horizontal arrangement. At this time, even if the terminal device is held with one hand, the label of the query subtopic required by the user can be conveniently selected through the operation of the thumb.

Wherein, as an embodiment of the apparatus of the present invention, the receiving unit 110 is configured to receive a user's position adjustment operation, and the display unit 130 adjusts the display position of the label corresponding to the query subtopic on the screen according to the position adjustment operation.

The embodiment of the present invention also provides a terminal device including an apparatus for realizing the above functions; in a specific practice, the terminal device is, for example, embodied as a mobile phone device as shown in FIG. 7 .

As shown in FIG. 12 , it is a functional diagram of a network device according to yet another preferred embodiment of the present invention. The network device includes a receiving module 210 , a searching module 220 , a sending module 230 and a sorting module 240 .

Specifically, the receiving module 210 receives the query information input by the user sent by the terminal device; thereafter, the search module 220 searches the query information, dynamically generates corresponding query subtopics according to the query information, and determines the search results of the query subtopics; Finally, the sending module 230 sends the query subtopic and the search results of the query subtopic to the terminal device. In addition, when the query subtopic needs to be sorted, the sorting module 240 will sort the query subtopic based on the weight of the predetermined subtopic generation method; or, based on the coverage rate of the query subtopic to the query information, sort the query subtopic Sort processing. When it is necessary to sort the search results of the query subtopics, the sorting module 240 will sort the search results of the query subtopics based on the relevant information of the user; or, based on the predetermined integrated sorting rules, sort the search results of the query subtopics Perform sort processing.

In the above embodiments, the device for searching is located in the terminal device, and the search is assisted in the network device. It should be understood that the description of the embodiments of the present invention only uses the terminal device and the network device as examples for illustration rather than limitation. For example, some or all of the functions in the network device can also be implemented in the terminal device.

The above device or device provided by the present invention enables the terminal device to dynamically generate query subtopics and corresponding search results after receiving query information, and display the query subtopics on the screen in the form of labels. In the context of limited display search results and high interaction costs caused by the limited screen size of mobile terminal devices, the dynamically generated query subtopics in the form of tags provide users with a way to refine their query needs, that is, users Through simple operations such as clicking, it is possible to perform more accurate and refined positioning on its query requirements. At the same time, the query sub-topic in the form of tags is also conducive to improving the user's input efficiency, that is, the user only needs to click on the tag to input the search command for subsequent search operations. In addition, when the user selects a query subtopic, only the corresponding search results are displayed, which simplifies the output of the user's search results and improves the user's query experience.

Those skilled in the art will appreciate that the present invention includes devices related to performing one or more of the operations described in this application. These devices may be specially designed and fabricated for the required purposes, or they may include known devices found in general purpose computers. These devices have computer programs stored therein that are selectively activated or reconfigured. Such a computer program can be stored in a device (e.g., computer) readable medium, including but not limited to any type of medium suitable for storing electronic instructions and respectively coupled to a bus. Types of disk (including floppy disk, hard disk, CD-ROM, CD-ROM, and magneto-optical disk), ROM (Read-Only Memory, read-only memory), RAM (Random Access Memory, random memory), EPROM (Erasable Programmable Read-Only Memory , Erasable Programmable Read-Only Memory), EEPROM (Electrically Erasable Programmable Read-Only Memory, Electrically Erasable Programmable Read-Only Memory), flash memory, magnetic card or optical card. That is, a readable medium includes any medium that stores or transmits information in a form readable by a device (eg, a computer).

Those skilled in the art will understand that computer program instructions can be used to implement each block in these structural diagrams and/or block diagrams and/or flow diagrams and combinations of blocks in these structural diagrams and/or block diagrams and/or flow diagrams . Those skilled in the art can understand that these computer program instructions can be provided to general-purpose computers, professional computers, or processors of other programmable data processing methods for implementation, so that the computer or processors of other programmable data processing methods can execute the present invention. Aspects specified in a block or blocks of a structure diagram and/or a block diagram and/or a flow diagram of the invention disclosure.

Those skilled in the art can understand that the various operations, methods, and steps, measures, and solutions in the processes discussed in the present invention can be replaced, changed, combined, or deleted. Further, other steps, measures, and schemes in the various operations, methods, and processes that have been discussed in the present invention may also be replaced, changed, rearranged, decomposed, combined, or deleted. Further, steps, measures, and schemes in the prior art that have operations, methods, and processes disclosed in the present invention can also be alternated, changed, rearranged, decomposed, combined, or deleted.

The above descriptions are only part of the embodiments of the present invention. It should be pointed out that those skilled in the art can make some improvements and modifications without departing from the principles of the present invention. It should be regarded as the protection scope of the present invention.

Claims (19)

1. A method for searching on a terminal device is characterized by comprising the following steps:

receiving query information input by a user;

searching the query information, determining a query subtopic corresponding to the query information at present, and determining a search result of the query subtopic;

and displaying the query sub-topics on a screen in a form of tags, and displaying search results of at least one query sub-topic.

2. The method for searching on a terminal device according to claim 1, wherein searching for the query information comprises:

searching the query information in the local data of the terminal equipment; or,

and searching the query information in the network.

3. The method for searching on the terminal device according to claim 1, wherein determining the query sub-topic currently corresponding to the query information comprises any one or more of the following ways:

analyzing the search records of the user to generate the query sub-topic;

analyzing structured data generated by the cooperation of the users to generate the query sub-topic;

analyzing the query recommendation information of the query information to generate the query sub-topic;

and clustering the search results of the query information to generate the query sub-topics.

4. The method for searching on a terminal device according to any one of claims 1-3, wherein the query subtopic comprises a multi-level query subtopic, wherein the multi-level query subtopic comprises at least two levels of query subtopics forming an upper-lower level relationship.

5. The method for searching on the terminal device according to claim 4, wherein the query sub-topic is displayed on a screen in a form of a tag, and comprises:

and displaying the first-level query sub-topic on a screen in a label mode.

6. The method for searching on a terminal device according to claim 4, further comprising:

receiving a trigger operation executed by the user on a label of any upper-layer query sub-topic, and displaying a lower-layer query sub-topic included in the upper-layer query sub-topic on a screen in a label form.

7. The method for searching on a terminal device according to claim 1, wherein displaying search results of at least one query sub-topic comprises:

and the displayed search results of the query sub-topic are associated with the currently displayed label of the query sub-topic or are adaptively adjusted according to the selected label of the query sub-topic.

8. The method for searching on the terminal device according to claim 7, wherein the adaptive adjustment according to the selected label of the query sub-topic comprises:

and when detecting that the user selects a label corresponding to any query sub-topic, displaying a search result corresponding to the query sub-topic on the screen.

9. The method for searching on a terminal device according to claim 1, further comprising:

and sequencing the query sub-topics, and displaying the sequenced query sub-topics on a screen in a tag form.

10. The method for searching on a terminal device according to claim 9, wherein the ranking the query sub-topics comprises:

performing sorting processing based on the weight of a predetermined subtopic generation mode; or,

and sequencing the coverage rate of the query information based on the query subtopic.

11. The method for searching on a terminal device according to claim 1, wherein before displaying the search results of at least one query sub-topic, further comprising: sequencing the search results of the query sub-topics to be displayed;

and displaying the search results of the query sub-topics according to the sorted order.

12. The method for searching on the terminal device according to claim 1, wherein the sorting of the search results of the query sub-topic to be displayed comprises:

based on the related information of the user, sequencing the search results of the query sub-topics; or,

and sequencing the search results of the query sub-topics based on a preset integration sequencing rule.

13. The method according to claim 12, wherein the information related to the user comprises any one or more of the following:

attribute information of the user;

preference information of the user;

location information of the user.

14. The method according to claim 12, wherein the related information of the user is obtained according to any one or more of the following manners:

analyzing the account registration information of the user to acquire the related information of the user;

analyzing the social relationship of the user to acquire the related information of the user;

analyzing historical search data of the user to acquire related information of the user;

acquiring the current environment of the user according to a sensor, and acquiring related information of the user;

and analyzing the behavior of the user operating the terminal equipment to acquire the related information of the user.

15. The method for searching on the terminal device according to claim 1, wherein the query sub-topic is displayed on the screen in the form of a tag, and the method includes any one or more of the following ways:

the search bar is arranged and displayed in an upper area or a lower area;

the display screen is arranged and displayed in a left area or a right area of the screen;

and vertically arranging and displaying the upper area or the lower area of the screen.

16. An apparatus for performing a search on a terminal device, comprising:

the receiving unit is used for receiving query information input by a user;

the searching unit is used for searching the query information, determining a query subtopic corresponding to the query information at present and determining a searching result of the query subtopic;

and the display unit is used for displaying the query sub-topics on a screen in a label form and displaying the search results of at least one query sub-topic.

17. The apparatus for searching on a terminal device according to claim 16, wherein the searching unit is configured to search for the query information, and includes:

the search unit is used for searching the query information in the local data of the terminal equipment; or,

the search unit is used for searching the query information in the network.

18. The apparatus for searching on a terminal device according to claim 16, wherein the searching unit is configured to determine a query sub-topic currently corresponding to the query information, and includes any one or more of the following manners:

the searching unit is used for analyzing the searching records of the user and generating the inquiry sub-topic;

the searching unit is used for analyzing structured data generated by user cooperation to generate the query sub-topic;

the search unit is used for analyzing the query recommendation information of the query information to generate the query subtopic;

the search unit is used for clustering the search results of the query information to generate the query sub-topics.

19. The apparatus for searching on a terminal device according to any one of claims 16-18, wherein the query subtopic comprises a multi-level query subtopic, wherein the multi-level query subtopic comprises at least two levels of query subtopics forming an upper and lower level relationship.