CN110442593B - Cross-application sharing method based on user search information - Google Patents
Cross-application sharing method based on user search information Download PDFInfo
- Publication number
- CN110442593B CN110442593B CN201910740466.8A CN201910740466A CN110442593B CN 110442593 B CN110442593 B CN 110442593B CN 201910740466 A CN201910740466 A CN 201910740466A CN 110442593 B CN110442593 B CN 110442593B
- Authority
- CN
- China
- Prior art keywords
- search
- user
- effective
- input
- words
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Active
Links
Images
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/24—Querying
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/24—Querying
- G06F16/248—Presentation of query results
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F3/00—Input arrangements for transferring data to be processed into a form capable of being handled by the computer; Output arrangements for transferring data from processing unit to output unit, e.g. interface arrangements
- G06F3/01—Input arrangements or combined input and output arrangements for interaction between user and computer
- G06F3/02—Input arrangements using manually operated switches, e.g. using keyboards or dials
- G06F3/023—Arrangements for converting discrete items of information into a coded form, e.g. arrangements for interpreting keyboard generated codes as alphanumeric codes, operand codes or instruction codes
- G06F3/0233—Character input methods
- G06F3/0237—Character input methods using prediction or retrieval techniques
Landscapes
- Engineering & Computer Science (AREA)
- Theoretical Computer Science (AREA)
- General Engineering & Computer Science (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Computational Linguistics (AREA)
- Data Mining & Analysis (AREA)
- Databases & Information Systems (AREA)
- Human Computer Interaction (AREA)
- User Interface Of Digital Computer (AREA)
- Information Retrieval, Db Structures And Fs Structures Therefor (AREA)
Abstract
The invention discloses a cross-application sharing method based on user search information, which is applied to an intelligent terminal and comprises the steps of collecting search data by a background of the intelligent terminal, establishing a local user effective search database, displaying a search list and the like. According to the method and the system, client search and user input habits can be highly correlated, effective search words input by the user under various applications are collected and stored through the background of the intelligent terminal, a local user effective search database is established, efficient and accurate search suggestions are provided for the user, the search suggestions are more suitable for the user search habits, the acceptance of the input characters by the terminal is high, cloud database search is not performed, flow consumption is reduced, search complexity is simplified, and search time is shortened.
Description
Technical Field
The invention relates to the technical field of application input search, in particular to a cross-application sharing method based on user search information.
Background
Most of the current application programs of the intelligent terminals are provided with a search module, and the search module has a search suggestion function. The search suggestion is that in application, when a user inputs a search character string, a system lists a list containing the character string input by the user in a drop-down box mode according to part or the whole of the input character string, so that the user can directly select from the drop-down list without completely inputting all characters, and the search experience of the user is improved. However, the smart terminals such as the smart television and the like are usually preset with a plurality of applications including third-party applications, and different applications show different data in search suggestions due to the same search input, which results in that the search suggestions provided by some applications cannot truly reflect the search target of the user. For example, if the search word "hangzhou" is input in the search bar, position information may appear in search suggestions of some applications, and the search suggestions of some applications do not have a little relation with hangzhou; and similar to the input of the Hangzhou state, some applications have corresponding search suggestions only by inputting the complete spelling, and some applications cannot search all the time. This is because the search interfaces of different applications correspond to different cloud databases, which results in different search suggestion contents. This situation not only seriously degrades the user's search experience, but also results in the search content that the user needs not to be searched out all the time.
Disclosure of Invention
The invention aims to provide a method for cross-application sharing based on user search information, which is used for solving the problem that the search suggestion applied in the prior art cannot be quickly adapted to the user requirement.
The invention solves the problems through the following technical scheme:
a method for cross-application sharing based on user search information is applied to an intelligent terminal, and is characterized by comprising the following steps:
step a: the method comprises the steps that search data are collected by a background of the intelligent terminal, all input effective searches of a user are collected from the background of the intelligent terminal, the effective searches refer to that when the user enters an application to input search words, search input monitoring is triggered, when the user selects and searches key words prompted in a search list corresponding to the search words, the input is regarded as effective search word input, the search is marked as effective search, and the monitored search words input by the effective search and text values of the key words are stored in an array of a cache area;
step b: establishing a local user effective search database, and storing the search records marked as effective searches into the local user effective search database; the local user effective search database stores the search word and the keyword data of the effective search input cached by the user, and the search word and the keyword data are correspondingly sorted according to the timestamp of the search time;
step c: displaying a search list, and traversing the cache and the local user effective search database to inquire whether a keyword corresponding to a new search word exists when a user inputs the new search word; displaying a certain number of search suggestion terms in the search listing by default; comparing the new search word with the search words stored in the cache and the local user effective search database, and if the completely matched search word exists, acquiring a keyword corresponding to the completely matched search word and displaying the keyword in the search list; when the number of the matched items is less than the certain number, performing partial matching, and acquiring keywords corresponding to the partially matched search words to display in the search list; if the number of the matched search suggestion items is still less than the certain number, calling search interfaces of other applications to find whether keywords corresponding to the new search words exist, and if so, extracting the keywords as search suggestions; and if the number of the search suggestion items is still less than the certain number, using the keywords of the search suggestions provided by the application cloud.
Preferably, in the step a, when the user enters the application, the user inputs the search word by using a keyboard, a voice input module or a soft keyboard of the intelligent terminal.
Preferably, in the step b, the value of the search word text is converted into a character string type, and then converted into an array type by a split function, which is to be linked with the value of the keyword.
Preferably, in the step b, a serial number, a request item, a keyword text, and a timestamp of a search time corresponding to the search are stored in the search record.
Preferably, in the step c, if the cache does not inquire the new search word, traversing the local user effective search database, acquiring the stored data and placing the data into the array of the cache region, and traversing the array to inquire and acquire all the keywords corresponding to the new search word in the array; and storing all the keywords corresponding to the new search word by using a setStorage command and placing the keywords in the array.
Preferably, in the step c, the search suggestion items generated by the completely matched search words are arranged and displayed in the top column of the search list according to the time stamp sequence, the search suggestion items generated by the partially matched search words are arranged and displayed in the middle of the search list according to the time stamp sequence, and the search suggestion items from the search interfaces of the other applications or the cloud end of the application are displayed at the end of the search list.
Preferably, the intelligent terminal is characterized in that the intelligent terminal provides search suggestions for the user by adopting the method for sharing the cross-application based on the user search information according to any one of claims 1 to 6.
Preferably, the intelligent terminal is an intelligent television, and the intelligent television collects content input by a user by using near-field voice or far-field voice.
Compared with the prior art, the invention has the following advantages and beneficial effects:
(1) the search suggestion based on the user is more suitable for the search habit of the user, and the recognition degree of the terminal on the input characters is high.
(2) The cloud database is not searched, so that the flow consumption is reduced, the searching complexity is simplified, and the searching time is shortened.
Drawings
FIG. 1 is a flow diagram of a search suggestion based on user search input.
Detailed Description
The present invention will be described in further detail with reference to examples, but the embodiments of the present invention are not limited thereto.
The invention provides a cross-application sharing method based on user search information and an intelligent terminal using the method, which can highly correlate user side search with user input habits. The effective search words input by a user under each application are collected and stored through a background of the intelligent terminal, and after search input is carried out on a certain application, a word library is effectively searched according to the local user, so that search suggestions are provided. The method comprises the following steps:
step a: the method comprises the steps that search data are collected by a background of the intelligent terminal, and all effective search contents input by a user are collected by the intelligent terminal from the background. When a user enters an application, a keyboard, a voice input module or a soft keyboard and the like are adopted to input search words, search input monitoring is triggered by the change of search input data through events, the change of element content values and the like, when the user selects and searches key words prompted in a search list corresponding to the search words, the input is regarded as effective search word input, the search is marked as effective search, and the monitored search words and corresponding key word text values are stored in an array of a cache area. For example, in a near-field speech application, a user speaks "song of royal fei" in a language, and selects a keyword "song of royal fei" prompted in a search list, and marks the search as an effective search, wherein the search word is song of royal fei, and the keyword value is song of royal fei; for another example, in the Tencent video application, the user inputs "WKF" in the search bar and selects the keyword "surgical wind cloud" indicated in the search list, and then marks the search as a valid search, wherein the search word is WKF and the keyword value is surgical wind cloud.
Step b: and establishing a local user effective search database, and storing the search records marked as effective searches into the local user effective search database. Converting the value obtained by the search word text into a character string type, converting the character string type into an array type by using a split function, and linking the values of the corresponding keywords; the local user effective search database stores the search word and key word data of effective search input cached by the user, and simultaneously, the search word and key word data are correspondingly sorted according to the time stamp of the search time. The search record stores a serial number id corresponding to the search, a request item query, a keyword text and a time stamp of the search time; all search records are sorted by time; the default synchronization keeps a certain number of search suggestion terms in the cache, e.g., 250.
Step c: displaying a search list, when a user inputs a search word, traversing the cache to inquire whether the search word exists, if so, trying to acquire a keyword corresponding to the search word, if not, traversing the local user effective search database to acquire stored data, putting the stored data into the cache array, and traversing the array to inquire to acquire data which is not empty of the keyword in the array corresponding to the input search word; records with keys are stored with setStorage command and placed in an array. A certain number of search suggestion terms are displayed in the search listing by default. For example, when 10 search suggestions are displayed by default, the newly input search words are compared with the search words of the original array, if the search words are completely matched, the corresponding keywords are acquired and then displayed in a search list; if the number of matching items is less than 10, performing partial matching, and extracting keywords for display; if the total number k after matching is less than 10 items, the remaining 10-k items call search interfaces of other applications to search whether keywords corresponding to the search terms exist; if the number of the items is less than 10, keywords of the search suggestion provided by the application cloud are used. And arranging and displaying the search suggestion items generated by complete matching at the top of the search list according to the time stamp sequence, arranging and displaying the search suggestion items generated by partial matching at the middle of the search list according to the time stamp sequence, and displaying the search suggestion items from the search interfaces of other applications or the cloud end of the application at the end of the search list.
A search suggestion flow diagram based on user search input is shown in fig. 1. As shown in fig. 1, after a user inputs a search word, whether the search word exists in a cache and a local user effective search database (referred to as a local database for short in fig. 1) is queried, and if the search word exists, whether a keyword corresponding to the search word in the cache and the local user effective search database is empty is determined; if the search word does not exist in the cache or the local user effective search database, searching search interfaces of other applications and search suggestions of the cloud of the application, and if the keyword corresponding to the search word is not searched yet, returning search list data to be null; and if the keywords inquired by the cache, the local user effective search database, other application search interfaces or the application cloud are not empty, sequencing the keyword arrays according to the search mode and the timestamp and returning the keywords to the search list.
The invention also provides an intelligent terminal which provides a search suggestion for the user by using the method for sharing the cross-application based on the user search information. The intelligent terminal can be an intelligent television, a tablet computer, a notebook computer or an intelligent mobile phone and the like. When the smart television collects the content input by the user by using the method, the collection can be performed by using near-field voice or far-field voice.
Although the present invention has been described herein with reference to the illustrated embodiments thereof, which are intended to be preferred embodiments of the present invention, it is to be understood that the invention is not limited thereto, and that numerous other modifications and embodiments can be devised by those skilled in the art that will fall within the spirit and scope of the principles of this disclosure.
Claims (8)
1. A method for cross-application sharing based on user search information is applied to an intelligent terminal, and is characterized by comprising the following steps:
step a: the method comprises the steps that search data are collected by a background of the intelligent terminal, all input effective searches of a user are collected from the background of the intelligent terminal, the effective searches refer to that when the user enters an application to input search words, search input monitoring is triggered, when the user selects and searches key words prompted in a search list corresponding to the search words, the input is regarded as effective search word input, the search is marked as effective search, and the monitored search words input by the effective search and text values of the key words are stored in an array of a cache area;
step b: establishing a local user effective search database, and storing the search records marked as effective searches into the local user effective search database; the local user effective search database stores the search word and the keyword data of the effective search input cached by the user, and the search word and the keyword data are correspondingly sorted according to the timestamp of the search time;
step c: displaying a search list, and traversing the cache and the local user effective search database to inquire whether a keyword corresponding to a new search word exists when a user inputs the new search word; displaying a certain number of search suggestion terms in the search listing by default; comparing the new search word with the search words stored in the cache and the local user effective search database, and if the completely matched search word exists, acquiring a keyword corresponding to the completely matched search word and displaying the keyword in the search list; when the number of the matched items is less than the certain number, performing partial matching, and acquiring keywords corresponding to the partially matched search words to display in the search list; if the number of the matched search suggestion items is still less than the certain number, calling search interfaces of other applications to find whether keywords corresponding to the new search words exist, and if so, extracting the keywords as search suggestions; and if the number of the search suggestion items is still less than the certain number, using the keywords of the search suggestions provided by the application cloud.
2. The method according to claim 1, wherein in step a, when a user enters an application, a keyboard, a voice input module or a soft keyboard of the smart terminal is used to input search words.
3. The method of claim 1, wherein in the step b, the value of the search word text is converted into a character string type, and then converted into an array type by a split function, which is linked with the value of the keyword.
4. The method for cross-application sharing based on user search information as claimed in claim 1, wherein in the step b, the search record stores a serial number, a request item, a keyword text and a time stamp of the search time corresponding to the search.
5. The method according to claim 1, wherein in step c, if the new search word is not queried in the cache, traversing the local user efficient search database, obtaining the stored data and placing the data in the array of the cache area, and traversing the array to query for all keywords corresponding to the new search word in the array; and storing all the keywords corresponding to the new search word by using a setStorage command and placing the keywords in the array.
6. The method of claim 1, wherein in step c, the search suggestion items generated by the completely matched search words are arranged and displayed in a time stamp sequence at the top of the search list, the search suggestion items generated by the partially matched search words are arranged and displayed in a time stamp sequence at the middle of the search list, and the search suggestion items from the search interfaces of the other applications or the application cloud are displayed at the bottom of the search list.
7. An intelligent terminal, characterized in that the intelligent terminal provides search suggestions for users by adopting the method of cross-application sharing based on user search information according to any one of claims 1 to 6.
8. The intelligent terminal according to claim 7, wherein the intelligent terminal is an intelligent television, and the intelligent television collects the content input by the user by using near-field voice or far-field voice.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910740466.8A CN110442593B (en) | 2019-08-12 | 2019-08-12 | Cross-application sharing method based on user search information |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910740466.8A CN110442593B (en) | 2019-08-12 | 2019-08-12 | Cross-application sharing method based on user search information |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN110442593A CN110442593A (en) | 2019-11-12 |
| CN110442593B true CN110442593B (en) | 2022-02-01 |
Family
ID=68434754
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201910740466.8A Active CN110442593B (en) | 2019-08-12 | 2019-08-12 | Cross-application sharing method based on user search information |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN110442593B (en) |
Families Citing this family (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110990679A (en) * | 2019-11-27 | 2020-04-10 | 维沃移动通信有限公司 | Information searching method and electronic equipment |
Citations (20)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102253982A (en) * | 2011-06-24 | 2011-11-23 | 北京理工大学 | Query suggestion method based on query semantics and click-through data |
| CN102375885A (en) * | 2011-10-21 | 2012-03-14 | 北京百度网讯科技有限公司 | Method and device for providing search suggestions corresponding to query sequence |
| CN102426607A (en) * | 2010-11-16 | 2012-04-25 | 微软公司 | Extensible search term suggestion engine |
| CN102687138A (en) * | 2009-12-28 | 2012-09-19 | 雅虎公司 | Search suggestion clustering and presentation |
| US8392435B1 (en) * | 2010-04-14 | 2013-03-05 | Google Inc. | Query suggestions for a document based on user history |
| CN103064853A (en) * | 2011-10-20 | 2013-04-24 | 北京百度网讯科技有限公司 | Search suggestion generation method, device and system |
| CN103221951A (en) * | 2010-07-22 | 2013-07-24 | 谷歌公司 | Predictive query suggestion caching |
| CN103430176A (en) * | 2011-03-22 | 2013-12-04 | 雅虎公司 | Search assistant system and method |
| CN103425650A (en) * | 2012-05-15 | 2013-12-04 | 腾讯科技（深圳）有限公司 | Recommendation searching method and recommendation searching system |
| CN103473326A (en) * | 2013-09-13 | 2013-12-25 | 百度在线网络技术（北京）有限公司 | Method and device providing searching advices |
| CN103885990A (en) * | 2012-12-24 | 2014-06-25 | 腾讯科技（武汉）有限公司 | Search method and system |
| CN105095351A (en) * | 2015-06-18 | 2015-11-25 | 百度在线网络技术（北京）有限公司 | Method and device for providing local searching suggestion |
| CN105224554A (en) * | 2014-06-11 | 2016-01-06 | 阿里巴巴集团控股有限公司 | Search word is recommended to carry out method, system, server and the intelligent terminal searched for |
| CN105824939A (en) * | 2008-07-10 | 2016-08-03 | 谷歌公司 | Dictionary Suggestions for Partial User Entries |
| CN106897317A (en) * | 2015-12-21 | 2017-06-27 | 北京奇虎科技有限公司 | Based on the method and apparatus that keyword scans for recommending |
| CN108197242A (en) * | 2017-12-29 | 2018-06-22 | 北京奇虎科技有限公司 | Method for pushing, device and the server of word are recommended in search |
| CN108197243A (en) * | 2017-12-29 | 2018-06-22 | 北京奇虎科技有限公司 | Method and device is recommended in a kind of input association based on user identity |
| CN108595454A (en) * | 2017-12-21 | 2018-09-28 | 努比亚技术有限公司 | Cross-application search recommendation method, terminal and computer-readable storage medium |
| CN109492082A (en) * | 2018-11-02 | 2019-03-19 | 北京字节跳动网络技术有限公司 | Pull down words recommending method, device, electronic equipment and storage medium |
| CN109543113A (en) * | 2018-12-21 | 2019-03-29 | 北京字节跳动网络技术有限公司 | Determine method, apparatus, storage medium and the electronic equipment clicked and recommend word |
Family Cites Families (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20070060114A1 (en) * | 2005-09-14 | 2007-03-15 | Jorey Ramer | Predictive text completion for a mobile communication facility |
| US20100185644A1 (en) * | 2009-01-21 | 2010-07-22 | Microsoft Corporatoin | Automatic search suggestions from client-side, browser, history cache |
| US20120296743A1 (en) * | 2011-05-19 | 2012-11-22 | Yahoo! Inc. | Method and System for Personalized Search Suggestions |
| US20130054632A1 (en) * | 2011-08-30 | 2013-02-28 | Google Inc. | Caching Input Suggestions |
-
2019
- 2019-08-12 CN CN201910740466.8A patent/CN110442593B/en active Active
Patent Citations (20)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105824939A (en) * | 2008-07-10 | 2016-08-03 | 谷歌公司 | Dictionary Suggestions for Partial User Entries |
| CN102687138A (en) * | 2009-12-28 | 2012-09-19 | 雅虎公司 | Search suggestion clustering and presentation |
| US8392435B1 (en) * | 2010-04-14 | 2013-03-05 | Google Inc. | Query suggestions for a document based on user history |
| CN103221951A (en) * | 2010-07-22 | 2013-07-24 | 谷歌公司 | Predictive query suggestion caching |
| CN102426607A (en) * | 2010-11-16 | 2012-04-25 | 微软公司 | Extensible search term suggestion engine |
| CN103430176A (en) * | 2011-03-22 | 2013-12-04 | 雅虎公司 | Search assistant system and method |
| CN102253982A (en) * | 2011-06-24 | 2011-11-23 | 北京理工大学 | Query suggestion method based on query semantics and click-through data |
| CN103064853A (en) * | 2011-10-20 | 2013-04-24 | 北京百度网讯科技有限公司 | Search suggestion generation method, device and system |
| CN102375885A (en) * | 2011-10-21 | 2012-03-14 | 北京百度网讯科技有限公司 | Method and device for providing search suggestions corresponding to query sequence |
| CN103425650A (en) * | 2012-05-15 | 2013-12-04 | 腾讯科技（深圳）有限公司 | Recommendation searching method and recommendation searching system |
| CN103885990A (en) * | 2012-12-24 | 2014-06-25 | 腾讯科技（武汉）有限公司 | Search method and system |
| CN103473326A (en) * | 2013-09-13 | 2013-12-25 | 百度在线网络技术（北京）有限公司 | Method and device providing searching advices |
| CN105224554A (en) * | 2014-06-11 | 2016-01-06 | 阿里巴巴集团控股有限公司 | Search word is recommended to carry out method, system, server and the intelligent terminal searched for |
| CN105095351A (en) * | 2015-06-18 | 2015-11-25 | 百度在线网络技术（北京）有限公司 | Method and device for providing local searching suggestion |
| CN106897317A (en) * | 2015-12-21 | 2017-06-27 | 北京奇虎科技有限公司 | Based on the method and apparatus that keyword scans for recommending |
| CN108595454A (en) * | 2017-12-21 | 2018-09-28 | 努比亚技术有限公司 | Cross-application search recommendation method, terminal and computer-readable storage medium |
| CN108197242A (en) * | 2017-12-29 | 2018-06-22 | 北京奇虎科技有限公司 | Method for pushing, device and the server of word are recommended in search |
| CN108197243A (en) * | 2017-12-29 | 2018-06-22 | 北京奇虎科技有限公司 | Method and device is recommended in a kind of input association based on user identity |
| CN109492082A (en) * | 2018-11-02 | 2019-03-19 | 北京字节跳动网络技术有限公司 | Pull down words recommending method, device, electronic equipment and storage medium |
| CN109543113A (en) * | 2018-12-21 | 2019-03-29 | 北京字节跳动网络技术有限公司 | Determine method, apparatus, storage medium and the electronic equipment clicked and recommend word |
Non-Patent Citations (3)
| Title |
|---|
| Relevant term suggestion in interactive web search based on contextual information in query session logs;Huang C K 等;《Journal of the American Society for Information Science and Technology》;20030313;第54卷(第7期);第638-649页 * |
| 基于日志挖掘的电商查询建议方法;王菁等;《计算机工程与科学》;20180215;第40卷(第02期);第231-237页 * |
| 基于时间点击图挖掘的查询建议方法;张乃洲;《计算机工程》;20150515;第41卷(第05期);第191-196页 * |
Also Published As
| Publication number | Publication date |
|---|---|
| CN110442593A (en) | 2019-11-12 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN110430476B (en) | Live broadcast room searching method, system, computer equipment and storage medium | |
| CN103365925B (en) | Obtain polyphone phonetic, method based on phonetic retrieval and related device thereof | |
| US12131827B2 (en) | Knowledge graph-based question answering method, computer device, and medium | |
| JP3225912B2 (en) | Information retrieval apparatus, method and recording medium | |
| US20140317117A1 (en) | Method, device and computer storage media for user preferences information collection | |
| US20050149507A1 (en) | Systems and methods for identifying an internet resource address | |
| US20070244863A1 (en) | Systems and methods for performing searches within vertical domains | |
| US20140229476A1 (en) | System for Information Discovery & Organization | |
| CN106708929B (en) | Video program searching method and device | |
| US20040163035A1 (en) | Method for automatic and semi-automatic classification and clustering of non-deterministic texts | |
| US20070244862A1 (en) | Systems and methods for ranking vertical domains | |
| WO2009064319A1 (en) | Categorization in a system and method for conducting a search | |
| CN103069825B (en) | For the system and method for television search assistant | |
| US9971828B2 (en) | Document tagging and retrieval using per-subject dictionaries including subject-determining-power scores for entries | |
| US20120239657A1 (en) | Category classification processing device and method | |
| KR20130086621A (en) | System and method for recording and querying original handwriting and electronic device | |
| CN106503195A (en) | A kind of translation word stocks search method and system based on search engine | |
| CN117194647B (en) | Intelligent question-answering system, method and device for offline environment | |
| CN114253990A (en) | Database query method, apparatus, computer equipment and storage medium | |
| JP6533876B2 (en) | Product information display system, product information display method, and program | |
| CN110442593B (en) | Cross-application sharing method based on user search information | |
| CN116414968A (en) | Information searching method, device, equipment, medium and product | |
| CN116303910A (en) | Question and answer page recommendation method, device, equipment and storage medium | |
| CN113449094A (en) | Corpus obtaining method and device, electronic equipment and storage medium | |
| JP2007249600A (en) | How to classify target data into categories |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |