CN112579912A - Searching method, electronic equipment and computer storage medium - Google Patents
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- G06F16/90—Details of database functions independent of the retrieved data types
- G06F16/95—Retrieval from the web
- G06F16/953—Querying, e.g. by the use of web search engines
- G06F16/9535—Search customisation based on user profiles and personalisation
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- G06F16/953—Querying, e.g. by the use of web search engines
- G06F16/9538—Presentation of query results
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Abstract
The invention provides a searching method, electronic equipment and a computer storage medium, wherein the method comprises the following steps: receiving a search word, and determining a target keyword contained in the search word; acquiring a first search result corresponding to the target keyword, and determining a target associated word of the search word according to the first search result; acquiring a second search result corresponding to the target associated word; and aggregating the first search result and the second search result according to a preset rule and then displaying the aggregated first search result and second search result in a search result page. Based on the scheme provided by the invention, the directly related content and the indirectly related content corresponding to the search terms can be provided for the user, and the search experience of the user is improved.
Description
Technical Field
The present invention relates to the field of internet, and in particular, to a search method, an electronic device, and a computer storage medium.
Background
Keyword search is a common function in the internet industry and other industries related to search recommendation, and brings convenience to users. However, the content of the search results obtained by the current keyword search technology is usually directly related content containing the whole keywords or part of the keywords, and the content is limited. Therefore, how to provide more content related to the keywords for the user to improve the user experience is an urgent problem to be solved.
Disclosure of Invention
In view of the above, the present invention has been made to provide a search method, an electronic device, and a computer storage medium that overcome or at least partially solve the above problems.
According to an aspect of the present invention, there is provided a search method including:
receiving a search word, and determining a target keyword contained in the search word;
acquiring a first search result corresponding to the target keyword, and determining a target associated word of the search word according to the first search result;
acquiring a second search result corresponding to the target associated word;
and aggregating the first search result and the second search result according to a preset rule and then displaying the aggregated first search result and second search result in a search result page.
Optionally, the step of determining the target keyword included in the search term includes:
matching the search word with the participles in a preset participle library, and taking the participles obtained by matching as candidate keywords of the search word;
and determining the target keyword according to the candidate keyword.
Optionally, in a case that the candidate keyword is multiple, the step of determining the target keyword according to the candidate keyword includes:
calling a first search popularity and a first search popularity of each candidate keyword from the word segmentation library;
weighting the first search popularity and the first search popularity of each candidate keyword to obtain a plurality of first weighted values;
and sequencing the candidate keywords according to the first weighted values in descending order, and extracting the candidate keywords of the first preset number after sequencing as the target keywords.
Optionally, the step of performing weighting processing on the first search popularity and the first search popularity of each of the candidate keywords to obtain a plurality of first weighting values includes:
multiplying the first search heat of each candidate keyword by a first set percentage to obtain a first search heat weight;
multiplying the first search popularity of each candidate keyword by a second set percentage to obtain a first search popularity weight;
and adding the first search heat weight and the first search popularity weight of each candidate keyword to obtain the plurality of first weighted values.
Optionally, the step of determining the target related word of the search word from the first search result comprises:
determining and extracting a first target search result contained in the first search result;
matching the first target search result with participles in a preset participle library, and taking the participles matched with the first target search result as candidate participles;
identifying and deleting the target keywords contained in the candidate participles, and taking the remaining candidate participles as candidate associated words;
and determining the target relevant word according to the candidate relevant word.
Optionally, the step of determining a first target search result included in the first search result includes:
taking the first search result ranked on a previous preset page as the first target search result; or
And taking the first search results ranked in the front preset number as the first target search results.
Optionally, in a case where the candidate related word is multiple, the step of determining the target related word according to the candidate related word includes:
calling a second search popularity and a second search popularity of each candidate associated word from the word segmentation library;
weighting the second search popularity and the second search popularity of each candidate associated word to obtain a plurality of second weighted values;
and sequencing the second weighted values from big to small, and extracting the candidate associated words with the second preset number after sequencing as the target associated words.
Optionally, the step of aggregating the first search result and the second search result according to a preset rule and displaying the aggregated result in a search result page includes:
performing deduplication processing on the first search result and the second search result;
and aggregating the first search result and the second search result after the duplication removal and displaying the aggregated first search result and second search result on the search result page.
According to another aspect of the present invention, there is also provided an electronic apparatus, including:
a processor;
a memory storing a computer program;
the computer program, when executed by the processor, causes the electronic device to perform the method as described in one of the above.
According to yet another aspect of the invention, there is also provided a computer storage medium having stored therein at least one instruction, at least one program, set of code or set of instructions to be loaded by a processor and to carry out a method according to any preceding claim.
After receiving the search terms, the method determines the target keywords contained in the search terms and obtains a first search result corresponding to the target keywords. And then, determining a target related word of the search word according to the first search result, and acquiring a second search result corresponding to the target related word. And then aggregating the first search result and the second search result according to a preset rule and displaying the aggregated first search result and second search result in a search result interface. Therefore, direct related content and indirect related content corresponding to the search terms can be provided for the user, and the search experience of the user is improved.
The foregoing description is only an overview of the technical solutions of the present invention, and the embodiments of the present invention are described below in order to make the technical means of the present invention more clearly understood and to make the above and other objects, features, and advantages of the present invention more clearly understandable.
The above and other objects, advantages and features of the present invention will become more apparent to those skilled in the art from the following detailed description of specific embodiments thereof, taken in conjunction with the accompanying drawings.
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Some specific embodiments of the invention will be described in detail hereinafter, by way of illustration and not limitation, with reference to the accompanying drawings. The same reference numbers in the drawings identify the same or similar elements or components. Those skilled in the art will appreciate that the drawings are not necessarily drawn to scale. In the drawings:
FIG. 1 is a schematic flow diagram of a search method according to one embodiment of the invention;
fig. 2 is a schematic block diagram of an electronic device according to an embodiment of the present invention.
Detailed Description
Exemplary embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. While exemplary embodiments of the present disclosure are shown in the drawings, it should be understood that the present disclosure may be embodied in various forms and should not be limited to the embodiments set forth herein. Rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the scope of the disclosure to those skilled in the art.
It should be noted that the technical features of the embodiments and alternative embodiments of the present invention may be combined with each other without conflict.
FIG. 1 is a schematic flow diagram of a search method according to one embodiment of the invention. As shown in fig. 1, the method may include at least the following steps S102-S108.
Step S102: receiving the search terms and determining target keywords contained in the search terms.
Step S104: and acquiring a first search result corresponding to the target keyword, and determining a target associated word of the search word according to the first search result.
Step S106: and acquiring a second search result corresponding to the target related word.
Step S108: and aggregating the first search result and the second search result according to a preset rule and then displaying the aggregated first search result and second search result in a search result page.
After receiving the search terms, the embodiment of the invention firstly determines the target keywords contained in the search terms and obtains the first search result corresponding to the target keywords. And then, determining a target related word of the search word according to the first search result, and acquiring a second search result corresponding to the target related word. And then aggregating the first search result and the second search result according to a preset rule and displaying the aggregated first search result and second search result in a search result interface. Based on the scheme provided by the invention, the directly related content and the indirectly related content corresponding to the search terms can be provided for the user, and the search experience of the user is improved.
In some embodiments of the present invention, before step S102, a segmentation library may be established, and then hot words appearing in search words, news, and the like within a certain time period from the current time period may be extracted, and then the extracted hot words may be added to the segmentation library as segmentation words of the segmentation library. For each participle in the participle library, association can be established between the participle and the corresponding search heat and search popularity, so that the corresponding search heat and search popularity can be obtained by extracting the participle. And, the thesaurus may be updated at preset time intervals thereafter. Specifically, the updating is to update the newly appeared hotword into the word segmentation library and update the search hotness and the search popularity of the word segmentation.
After the word segmentation library is established, in some embodiments of the present invention, when a search word is received, the search word may be first matched with a segmentation word in the word segmentation library, then the segmentation word obtained by matching is used as a candidate keyword of the search word, and then a target keyword is determined according to the candidate keyword.
Specifically, for the case where there is one candidate keyword, determining the target keyword according to the candidate keyword may be directly determining the candidate keyword as the target keyword.
For example, if the search word is "lironghao", and the candidate keyword only includes "lironghao", then "lironghao" may be directly used as the target keyword.
And in the case that the candidate keywords are multiple, determining the target keyword according to the candidate keywords may be calling the first search popularity and the first search popularity of each candidate keyword from the word segmentation library. And weighting the first search popularity and the first search popularity of each candidate keyword to obtain a plurality of first weighted values. And sequencing the plurality of first weighted values from big to small, and extracting the first preset number of candidate keywords after sequencing as target keywords. The first preset number may be set according to actual needs, and the present invention is not particularly limited.
Weighting the first search popularity and the first search popularity of each candidate keyword to obtain a plurality of first weighted values, specifically, multiplying the first search popularity of each candidate keyword by a first set percentage to obtain a first search popularity weight; multiplying the first search popularity of each candidate keyword by a second set percentage to obtain a first search popularity weight; and adding the first search heat weight value and the first search popularity weight value of each candidate keyword to obtain a plurality of first weighted values.
The first set percentage and the second set percentage may be equal or different, and are specifically set according to the emphasis on the first search popularity and the second search popularity, which is not specifically limited in the present invention.
In one example, the search term is "lynghao of chinese new rap", and the candidate keywords include "lynghao of chinese new rap", "chinese", "new rap", "lynghao". Extracting the first search heat and the first search popularity of each candidate keyword, calculating the first search popularity according to a first set percentage and a second set percentage to obtain a plurality of first weighted values, and sequencing the candidate keywords according to the first weighted values in at least greater sequence to obtain a sequencing result: "China new talking and singing", "Lironghao", "China new talking and singing honor and honor of hono. Given that the preset number is four, the target keywords can be determined to include "chinese new rap", "lynghao", and "chinese new rap honor and hao".
According to the method, under the condition that a plurality of candidate keywords are provided, the target keyword is determined in the candidate keywords according to the first search popularity and the first search popularity of each candidate keyword. And then obtaining a first search result according to the target search word. Therefore, the directly related content corresponding to the search terms can be enriched, the obtained first search result can be more fit with the search intention of the user, and the search experience of the user is improved.
After the first search result is obtained, the target related word of the search word can be determined according to the first search result. Specifically, the target related word may be determined by: first, a first target search result contained in the first search result is determined and extracted. The first target search result may be a first search result ranked on a previous preset page or a preset number of first search results ranked on the previous preset page, and the present invention is not limited in particular. After the first target search result is obtained, the first target search result may be matched with the participles in the participle library, and then the participles matched with the first target search result are used as candidate participles.
Since the candidate segmentation is obtained according to the first target search result corresponding to the target keyword, the candidate segmentation is likely to include the target keyword. Therefore, after the candidate segmentation is obtained, the target keywords contained in the candidate segmentation are firstly identified and deleted, and then the rest candidate keywords are used as candidate associated words, so that repeated searching on the same words and waste of searching resources can be avoided. And then determining a target associated word according to the candidate associated word to obtain a second search result corresponding to the target associated word. Therefore, indirectly related content corresponding to the search terms can be provided for the user, and the search experience of the user is further improved.
In some embodiments of the present invention, in the case where there is one candidate related word, the above-mentioned determination of the target related word based on the candidate related word may be to directly take the candidate related word as the target related word.
When there are a plurality of candidate related words, the above-mentioned determination of the target related word according to the candidate related word may be specifically determined as follows: first, the second search popularity and the second search popularity of each candidate associated word are called from the word segmentation base. And then weighting the second search popularity and the second search popularity of each candidate associated word to obtain a plurality of second weighted values. And sequencing the second weighted values from big to small, and extracting the candidate associated words with the second preset number after sequencing as target associated words. The second preset number may be set according to actual needs, and the present invention is not particularly limited.
The above-mentioned second search popularity and the second search popularity of each candidate related word are subjected to weighting processing to obtain a plurality of second weighted values, and specifically, the second search popularity of each candidate related word may be multiplied by a third set percentage to obtain a second search popularity weight; multiplying the second search popularity of each candidate associated word by a fourth set percentage to obtain a second search popularity weight; and adding the second search heat weight and the second search popularity weight of each candidate associated word to obtain a plurality of second weighted values.
The third set percentage and the fourth set percentage may be equal or different, and are specifically set according to the second search popularity and the second search popularity, which is not specifically limited in the present invention.
The target related word is determined in the candidate related words by using the second search popularity and the second search popularity of each candidate related word under the condition that the candidate related words are multiple. Therefore, the second search result obtained according to the target associated word is better in quality, and the search experience of the user is further improved.
The target related word is obtained according to the first target search result corresponding to the target keyword. Therefore, a certain association relationship may exist between the target related word and the target keyword, so that the first search result and the second search result may have the same search result. Therefore, after the first search result and the second search result are obtained, the first search result and the second search result are subjected to deduplication processing, and then the deduplicated first search result and the deduplicated second search result are aggregated and displayed on a search result page.
And aggregating the de-duplicated first search result and the second search result and displaying the aggregated first search result and second search result on a search result page. Specifically, the first search result and the second search result after the duplication removal may be displayed in different areas, for example, the first search result and the second search result after the duplication removal are respectively displayed on the upper part and the lower part or the left part and the right part of the search result page, and tag information may be further added in the corresponding areas to distinguish the first search result from the second search result. Or the search results with higher search popularity and/or search popularity may be ranked in front according to the search popularity and/or search popularity of the first search result and the second search result after the deduplication. The display modes of the search results on the search result page are many, and can be determined according to actual needs, and the invention is not listed one by one here.
Based on the same inventive concept, the invention further provides an electronic device 200, and fig. 2 is a schematic structural block diagram of the electronic device according to an embodiment of the invention. Referring to fig. 2, the electronic device 200 comprises a processor 210 and a memory 220 in which a computer program 221 is stored. The computer program 221, when executed by the processor 210, causes the electronic device 200 to perform the method according to any of the embodiments described above.
Based on the same inventive concept, the present invention also provides a computer storage medium having at least one instruction, at least one program, set of code, or set of instructions stored therein, the at least one instruction, the at least one program, set of code, or set of instructions being loaded by a processor and performing a method as described in any of the above embodiments.
The invention provides a searching method, electronic equipment and a computer storage medium. And then, determining a target related word of the search word according to the first search result, and acquiring a second search result corresponding to the target related word. And then aggregating the first search result and the second search result according to a preset rule and displaying the aggregated first search result and second search result in a search result interface. Therefore, not only can the directly related content corresponding to the search terms be provided for the user, but also the indirectly related content corresponding to the search terms can be provided for the user, and the search experience of the user is improved.
Further, under the condition that the number of the candidate keywords is multiple, the target keywords are determined in the candidate keywords according to the first search popularity and the first search popularity of each candidate keyword. And then obtaining a first search result according to the target search word. By the method, not only can directly related content corresponding to the rich search terms be obtained, but also the obtained first search result can be closer to the search intention of the user, and the search experience of the user is further improved.
Furthermore, after the candidate participles are obtained, the target keywords contained in the candidate participles are firstly identified and deleted, then the remaining candidate participles are used as candidate associated words, and the target associated words are determined according to the candidate associated words. Therefore, repeated searching can be avoided, and searching resources are saved.
Further, in the present invention, when there are a plurality of candidate related words, the target related word is determined among the candidate related words by using the second search popularity and the second search popularity of each candidate related word. And then obtaining a second search result according to the target associated word. Therefore, the obtained second search result is better in quality, and the search experience of the user is further improved.
Thus, it should be appreciated by those skilled in the art that while a number of exemplary embodiments of the invention have been illustrated and described in detail herein, many other variations or modifications consistent with the principles of the invention may be directly determined or derived from the disclosure of the present invention without departing from the spirit and scope of the invention. Accordingly, the scope of the invention should be understood and interpreted to cover all such other variations or modifications.
Claims (10)
1. A method of searching, comprising:
receiving a search word, and determining a target keyword contained in the search word;
acquiring a first search result corresponding to the target keyword, and determining a target associated word of the search word according to the first search result;
acquiring a second search result corresponding to the target associated word;
and aggregating the first search result and the second search result according to a preset rule and then displaying the aggregated first search result and second search result in a search result page.
2. The method of claim 1, wherein the step of determining the target keyword included in the search term comprises:
matching the search word with the participles in a preset participle library, and taking the participles obtained by matching as candidate keywords of the search word;
and determining the target keyword according to the candidate keyword.
3. The method according to claim 2, wherein, in the case that there are a plurality of candidate keywords, the step of determining the target keyword according to the candidate keywords comprises:
calling a first search popularity and a first search popularity of each candidate keyword from the word segmentation library;
weighting the first search popularity and the first search popularity of each candidate keyword to obtain a plurality of first weighted values;
and sequencing the candidate keywords according to the first weighted values in descending order, and extracting the candidate keywords of the first preset number after sequencing as the target keywords.
4. The method of claim 3, wherein the step of weighting the first search popularity and the first search popularity of each of the candidate keywords to obtain a plurality of first weighting values comprises:
multiplying the first search heat of each candidate keyword by a first set percentage to obtain a first search heat weight;
multiplying the first search popularity of each candidate keyword by a second set percentage to obtain a first search popularity weight;
and adding the first search heat weight and the first search popularity weight of each candidate keyword to obtain the plurality of first weighted values.
5. The method of claim 1, wherein the step of determining the target related word of the search word from the first search result comprises:
determining and extracting a first target search result contained in the first search result;
matching the first target search result with participles in a preset participle library, and taking the participles matched with the first target search result as candidate participles;
identifying and deleting the target keywords contained in the candidate participles, and taking the remaining candidate participles as candidate associated words;
and determining the target relevant word according to the candidate relevant word.
6. The method of claim 5, wherein the step of determining a first target search result included in the first search result comprises:
taking the first search result ranked on a previous preset page as the first target search result; or
And taking the first search results ranked in the front preset number as the first target search results.
7. The method according to claim 5, wherein the step of determining the target related word from the candidate related word in the case where the candidate related word is plural includes:
calling a second search popularity and a second search popularity of each candidate associated word from the word segmentation library;
weighting the second search popularity and the second search popularity of each candidate associated word to obtain a plurality of second weighted values;
and sequencing the second weighted values from big to small, and extracting the candidate associated words with the first preset number after sequencing as the target associated words.
8. The method of claim 1, wherein the step of aggregating the first search result and the second search result according to a preset rule and displaying the aggregated first search result and second search result in a search result page comprises:
performing deduplication processing on the first search result and the second search result;
and aggregating the first search result and the second search result after the duplication removal and displaying the aggregated first search result and second search result on the search result page.
9. An electronic device, comprising:
a processor;
a memory storing a computer program;
the computer program, when executed by the processor, causes the electronic device to perform the method of any of claims 1-8.
10. A computer storage medium having stored therein at least one instruction, at least one program, a set of code or instructions, which is loaded by a processor and which performs the method of any one of claims 1 to 8.
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