CN102567409A - Method and device for providing retrieval associated word - Google Patents
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- CN102567409A CN102567409A CN2010106185605A CN201010618560A CN102567409A CN 102567409 A CN102567409 A CN 102567409A CN 2010106185605 A CN2010106185605 A CN 2010106185605A CN 201010618560 A CN201010618560 A CN 201010618560A CN 102567409 A CN102567409 A CN 102567409A
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Abstract
The invention relates to a retrieval technology, and discloses a method and a device for providing a retrieval associated word, which are used for improving the accuracy of the retrieval associated word and the retrieval efficiency of a search engine; and the method is characterized by comprising the steps that: aiming at the retrieval keyword which is input by a user, a fuzzy matching mode is not adopted to obtain the retrieval associated word, target word segmentations are extracted on the basis of the text data which is contained in a webpage of the retrieval keyword, then the association degrees between each target word segmentation and the retrieval keyword are calculated, the target word segmentations which have the association degrees reaching a set threshold value are presented as the retrieval associated words, so a logical association relation with the retrieval keyword and other retrieval associated words which have or do not have the fuzzy matching relation can be obtained according the information content which is contained in the webpage of the retrieval keyword, accordingly, the information accuracy of the retrieval associated words is improved, the omission of part retrieval associated words is avoided, and furthermore, the retrieval efficiency of the search engine is effectively improved.
Description
Technical field
The present invention relates to retrieval technique, particularly a kind of method and device that the retrieval conjunctive word is provided.
Background technology
Along with the sharp increase of information data amount on the internet, search engine for better service in the user, just be necessary to take supplementary means to improve search efficiency, and intelligent recommendation retrieval conjunctive word is exactly a kind of in the multiple supplementary means.Consult shown in Figure 1ly, so-called intelligent recommendation retrieval conjunctive word promptly is when the user imports certain search key; For example, genseng will demonstrate a series of vocabulary that possibly be associated with the search key of user's input at searched page; Be called the retrieval conjunctive word, for example, as shown in Figure 1; Fruit of Panax ginseng, ginseng spleen-strengthening bolus, genseng doll ..., click these retrieval conjunctive words, the user can further search for.
At present, support the search engine of intelligent recommendation retrieval conjunctive word to have a lot, the recommendation retrieval conjunctive word method that this this search engine adopts generally includes following several kinds:
But it is different that different search engines is accomplished the mode of this function, and therefore general search engine mostly adopts advantages of simplicity and high efficiency to recommend account form aspect recommendation because the search crowd is very extensive, and the field of dabbling is very various, and common mode has:
1, system-key fuzzy matching.
Promptly after the user imports search key, carry out fuzzy matching, and the search key that fuzzy matching is successful is recommended the user as the retrieval conjunctive word according to content recorded in the preset system core character library.
2, user entered keyword fuzzy matching.
The search key that is about to user's input is saved in the user entered keyword storehouse and carries out the bar number and adds up; After this user imports search key; Carry out fuzzy matching according to content recorded in the user entered keyword storehouse; And the search key that fuzzy matching is successful sorts according to cumulative number, recommends the user as the retrieval conjunctive word.
3, recommend with reference to the key word of other user's inputs.
Any one user of system log (SYSLOG) imports the overall process of search key and is saved in the user entered keyword storehouse; After the user imports search key; Search key according to user entered keyword library searching coupling; And will import other search key of the user input of this search key in the past, recommend the user as search key.
Yet existing search engine is not considered the industrial characteristic of retrieval conjunctive word when the retrieval conjunctive word is provided; The retrieval conjunctive word of recommending generally is general keyword sequences; And existing search engine adopts the mode of fuzzy matching to recommend to retrieve conjunctive word usually, like this; There is not the fuzzy matching relation in a lot of and search key, but exists the retrieval conjunctive word of certain logical relation will can not get recommending.For example; When the search key of user's input is " genseng "; Exist the retrieval conjunctive word " saponin(e " of certain logical relation, " Radix Astragali " or the like will can not get recommending with " genseng ", thereby; Influence the accuracy of retrieval conjunctive word to a certain extent, thereby reduced the recall precision of search engine.
Summary of the invention
The embodiment of the invention discloses a kind of method and device that the retrieval conjunctive word is provided, and in order to improve the accuracy of retrieval conjunctive word, improves the recall precision of search engine.
The concrete technical scheme that the embodiment of the invention provides is following:
A kind of method that the retrieval conjunctive word is provided comprises:
Search key according to user's input obtains the Webpage that comprises said search key;
The text data that comprises based on said Webpage extracts the target participle;
Based on the density of each target participle in each Webpage, calculate the degree of association between each target participle and the said search key respectively;
The degree of association is reached the target participle of setting threshold value, present to the user as the retrieval conjunctive word.
A kind of device that the retrieval conjunctive word is provided comprises:
Acquiring unit is used for obtaining the Webpage that comprises said search key according to the search key of user's input;
Extraction unit is used for extracting the target participle based on the text data that said Webpage comprises;
Computing unit is used for respectively calculating the degree of association between each target participle and the said search key based on the density of each target participle at each Webpage;
Display unit is used for the degree of association is reached the target participle of setting threshold value, presents to the user as the retrieval conjunctive word.
In the embodiment of the invention, the search key to user's input does not adopt the mode of fuzzy matching to obtain the retrieval conjunctive word; And the text data that the Webpage that is based on the search key place comprises extracts the target participle, calculates the degree of association between each target participle and the search key again; The degree of association is reached the target participle of setting threshold value, appear as the retrieval conjunctive word, like this; The information content that just can comprise according to the Webpage at search key place; Get access to and search key existence incidence relation in logic, and have or do not exist other retrieval conjunctive words of fuzzy matching relation, thereby improved the accuracy of information of retrieval conjunctive word; Avoid partly retrieving the omission of conjunctive word, and then effectively improved the recall precision of search engine.
Description of drawings
Fig. 1 is an intelligent recommendation retrieval conjunctive word synoptic diagram under the prior art;
Fig. 2 is an indexing unit functional structure chart in the embodiment of the invention;
Fig. 3 sets up in the embodiment of the invention to recommend the dictionary process flow diagram;
Fig. 4 is for providing retrieval conjunctive word process flow diagram to the user in the embodiment of the invention.
Embodiment
In the embodiment of the invention,, improve the recall precision of search engine in order to improve the accuracy of retrieval conjunctive word; In the embodiment of the invention; No longer adopt the mode of fuzzy matching to obtain the retrieval conjunctive word, but the text data that comprises in the Webpage according to the search key appearance obtains corresponding retrieval conjunctive word, is specially: the search key according to user's input obtains the Webpage that comprises this search key; The text data that comprises based on the Webpage that obtains extracts the target participle; Respectively based on the density of each target participle in each Webpage, calculate the degree of association between each target participle and the search key again, last; The degree of association is reached the target participle of setting threshold value, present to the user as the retrieval conjunctive word.
Below in conjunction with accompanying drawing the preferred embodiment of the present invention is elaborated.
In the embodiment of the invention, provide the method for retrieval conjunctive word to be divided into two stages, first stage is the establishment and the renewal of the recommendation dictionary of retrieval conjunctive word, and second stage is to present retrieval conjunctive word recommendation list according to the search key that the user imports,
Consult shown in Figure 2ly, in the embodiment of the invention, recommend the visioning procedure of dictionary following:
Step 200: judge in the search key tabulation whether also have the search key that does not read, if then carry out step 210; Otherwise, finish current flow process.
In the present embodiment, a search key tabulation is set, and sets up corresponding recommendation dictionary based on this search key tabulation according to the search key of using always.The search key of record can be imported by managerial personnel in advance in this tabulation, also can be in using flow process, learns to obtain according to the search key of user's input.
Step 210: from the search key tabulation, read a search key.
Step 220: obtain corresponding Webpage according to the search key that reads.
In the present embodiment, can adopt webpage gripping tool such as WebSpider, PClawer, hpricot etc.What the webpage gripping tool obtained according to search key is a series of collections of web pages relevant with search key, is kept in the storer grasping the collections of web pages that obtains, and uses during for the subsequent calculations degree of association.
On the other hand, when obtaining Webpage, can limit website industry attribute, confirm specified web industry attribute after, in website, obtain the Webpage that comprises search key again with this website industry attribute.For example, if the user need retrieve relevant information in the scope of traditional Chinese medical science industry, then can being set to search engine only in the perhaps relevant website of traditional Chinese medicine industry search engine, obtaining corresponding Webpage with the traditional Chinese medicine industry.
Step 230: extract the text data that each Webpage comprises, and carry out participle and divide, obtain the target participle.
Preferable, can adopt minimum syncopation to carry out participle and divide, so-called minimum syncopation promptly is that the order target participle number that cutting obtains based on a whole sentence is minimum.
Step 240: adopt clustering algorithm to calculate the density of each target participle in each Webpage respectively.
Adopt clustering algorithm, its objective is the frequency (being density) of the appearance that calculates each target participle, preferable, can density not reached the target participle deletion of setting threshold value, thereby reduce the complexity of follow-up processing flow.For example; The text data that the Webpage that obtains according to search key " genseng " comprises; After the participle division, a plurality of target participles of acquisition are respectively: the treatment of the Radix Astragali, Radix Codonopsis, genseng, the curative effect of genseng, genseng doll ..., so; Through after the cluster screening, density reaches the target participle of the setting threshold value curative effect for, the Radix Astragali, Radix Codonopsis, genseng.
Before each participle is carried out cluster; Preferable; Can be earlier with some tone auxiliary words of habitually practising, conjunction, preposition or the like do not have the vocabulary of help to delete for the recommendation of retrieval conjunctive word, for example; " ", " one ", " very " ... so that extract more accurate target participle.
Step 250: the weight of each Webpage of confirming to obtain.
In the embodiment of the invention, when confirming the weight of any Webpage, can be with reference to a kind of or combination in any in the following parameter:
Website authority index is used to characterize the authority of the website of Webpage ownership; For example, the website of well-known large-scale website authority index will be higher than website authority's index of common website.The reference value of the Webpage that the high more website of authority's index, website comprises is high more.
Specialty index in website is used to characterize the industry attribute of the website of Webpage ownership, for example, retrieves if be limited in the traditional Chinese medicine industry, and the website specialty index of then special traditional Chinese medicine class website just is higher than the website specialty index of general medical science class website.When limiting the industry attribute of website, the reference value of the Webpage that the high more website of specialty index, website comprises is high more.
User's clicking rate is used in the user's pageview that characterizes Webpage, the Webpage that user's pageview is big more, and its reference value is high more.
Target participle occurrence number is used for characterizing the accumulative total occurrence number of Webpage target participle, comprises the more Webpages of target participle number, and its reference value is high more.
......
In the practical application, all kinds of parameters of required reference when managerial personnel can be provided with the weight of confirming Webpage voluntarily according to concrete applied environment, above-mentioned several middle parameters are merely for example, are not limited thereto.
Step 260: based on the density of each target participle, and the weight of each Webpage, calculate each target participle respectively and the search key that obtains between the degree of association.
In the practical application of the present invention, when the degree of association of calculating between any target participle and the retrieval crux word, can adopt following formula:
The degree of association=X1*w1+X2*w2+......Xm*wn formula one
Wherein, X1, X2 ... Xn is the density of any target participle in each Webpage, w1, w2 ... wn is the weight of each Webpage.
In the practical application, the density of target participle in each Webpage that the compute associations degree is used, and the weight of each Webpage need regularly be upgraded.
Step 270: the degree of association is reached the target participle of setting threshold value, and the search key of respective user input is preserved as the retrieval conjunctive word.
Like this, adopt step 200-step 270 just can initially set up the recommendation dictionary, to treat follow-up use.
Based on the foregoing description, to consult shown in Figure 3ly, in the embodiment of the invention, based on the recommendation dictionary of having set up, the search key to user input provides the detailed process of corresponding retrieval conjunctive word following:
Step 300: the search key that obtains user's input.
Step 310: the search key that obtains has been present in to be recommended in the dictionary? If then carry out step 320; Otherwise, carry out step 330.
Step 320: in recommending dictionary, obtain and the corresponding retrieval conjunctive word of search key, and present to the user.
In the present embodiment, preferable when the user presented in the retrieval conjunctive word that will get access to, appear according to each degree of association suitable pagination from big to small of retrieving conjunctive word and search key.
Step 330: obtain corresponding Webpage according to the search key that obtains
With step 220 in like manner, when obtaining Webpage, can limit website industry attribute, confirm specified web industry attribute after, in website, obtain the Webpage that comprises search key again with this website industry attribute.For example, if the user need retrieve relevant information in the scope of traditional Chinese medical science industry, then can being set to search engine only in the perhaps relevant website of traditional Chinese medicine industry search engine, obtaining corresponding Webpage with the traditional Chinese medicine industry.
Step 340: extract the text data that each Webpage comprises, and carry out participle and divide, obtain the target participle.
Step 350: adopt clustering algorithm to calculate the density of each target participle in each Webpage respectively.
Preferable, after calculating the density of each target participle in each Webpage, can density not reached the target participle deletion of setting threshold value, thereby reduce the complexity of subsequent operation.
Step 360: the weight of confirming each Webpage.
With step 250 in like manner, in the embodiment of the invention, when confirming the weight of any Webpage, can be with reference to a kind of or combination in any in the following parameter: website authority's index, website specialty index, user's clicking rate, target participle occurrence number ...
Step 370: based on the density of each target participle, and the weight of each Webpage, calculate the degree of association between the search key of each target participle and user input respectively.
With step 260 in like manner, in the present embodiment, still can adopt formula one to calculate the degree of association of each target participle.
Step 380: the degree of association is reached the target participle of setting threshold value, present to the user as the retrieval conjunctive word.
In the present embodiment, preferable when each target participle is presented to the user as the retrieval conjunctive word, appear according to each degree of association order from big to small of retrieving conjunctive word and search key.
Simultaneously, also need the search key and the corresponding retrieval conjunctive word of user's input be preserved in recommending dictionary.
In the practical application; Along with the continual renovation of various webpages, the density of the target participle that the compute associations degree is used, and the weight of each Webpage need regularly be upgraded; Accordingly; The corresponding retrieval conjunctive word of each search key also changes constantly taking place, and therefore, also need carry out regular update to the corresponding retrieval conjunctive word of each search key.
Based on the foregoing description, consult shown in Figure 4ly, in the embodiment of the invention, be used to provide the device of retrieval conjunctive word, be called indexing unit, comprising:
Acquiring unit 40 is used for obtaining the Webpage that comprises said search key according to the search key of user's input;
Extraction unit 41 is used for extracting the target participle based on the text data that said Webpage comprises;
Computing unit 42 is used for respectively calculating the degree of association between each target participle and the search key based on the density of each target participle at each Webpage;
Display unit 43 is used for the degree of association is reached the target participle of setting threshold value, presents to the user as the retrieval conjunctive word.
As shown in Figure 4, further be provided with updating block 44 in the indexing unit, be used for upgrading the corresponding retrieval conjunctive word of each search key of recommending dictionary to preserve according to setting cycle.
In sum, in the embodiment of the invention, to the search key of user's input; Do not adopt the mode of fuzzy matching to obtain the retrieval conjunctive word, and be based on the text data that the Webpage at search key place comprises, extract the target participle; Calculate the degree of association between each target participle and the search key again, the degree of association is reached the target participle of setting threshold value, appear as the retrieval conjunctive word; Like this, the information content that just can comprise according to the Webpage at search key place adopts clustering algorithm to get access to search key and has incidence relation; And there are or do not exist other retrieval conjunctive words of fuzzy matching relation; Thereby improved the accuracy of information of retrieval conjunctive word, avoided partly retrieving the omission of conjunctive word, and then effectively improved the recall precision of search engine.
Further, in the embodiment of the invention, can also limit industry attribute, thereby can accurately locate, further improve the recall precision of search engine range of search as the website of searching object.
Obviously, those skilled in the art can carry out various changes and modification to the present invention and not break away from the spirit and scope of the present invention.Like this, belong within the scope of claim of the present invention and equivalent technologies thereof if of the present invention these are revised with modification, then the present invention also is intended to comprise these changes and modification interior.
Claims (14)
1. the method that the retrieval conjunctive word is provided is characterized in that, comprising:
Search key according to user's input obtains the Webpage that comprises said search key;
The text data that comprises based on said Webpage extracts the target participle; Based on the density of each target participle in each Webpage, calculate the degree of association between each target participle and the said search key respectively;
The degree of association is reached the target participle of setting threshold value, present to the user as the retrieval conjunctive word.
2. the method for claim 1 is characterized in that, when obtaining the Webpage that comprises said search key, comprising:
Confirm specified web industry attribute;
In website, obtain the Webpage that comprises said search key with said website industry attribute.
3. the method for claim 1 is characterized in that, adopts clustering algorithm to calculate the density of each target participle in each Webpage respectively.
4. the method for claim 1 is characterized in that, based on the density of any target participle in each Webpage, when calculating the degree of association between this target participle and the said search key, adopts following formula:
The degree of association=X1*w1+X2*w2+......Xm*wn
Wherein, X1, X2 ... Xn is the density of said any target participle in each Webpage, w1, w2 ... wn is the weight of each Webpage.
5. method as claimed in claim 4 is characterized in that, when confirming the weight of any Webpage, and a kind of or combination in any in reference site authority index, website specialty index, user's clicking rate and the target participle occurrence number.
6. like each described method of claim 1-5; It is characterized in that; The target participle that obtains is preserved as the retrieval conjunctive word of said search key, when treating that the user imports said search key next time, directly obtained corresponding retrieval conjunctive word and present to the user.
7. method as claimed in claim 6 is characterized in that, upgrades the corresponding retrieval conjunctive word of said search key according to setting cycle.
8. the device that the retrieval conjunctive word is provided is characterized in that, comprising:
Acquiring unit is used for obtaining the Webpage that comprises said search key according to the search key of user's input;
Extraction unit is used for extracting the target participle based on the text data that said Webpage comprises;
Computing unit is used for respectively calculating the degree of association between each target participle and the said search key based on the density of each target participle at each Webpage;
Display unit is used for the degree of association is reached the target participle of setting threshold value, presents to the user as the retrieval conjunctive word.
9. device as claimed in claim 8; It is characterized in that, when said acquiring unit obtains the Webpage that comprises said search key, confirm specified web industry attribute; And in website, obtain the Webpage that comprises said search key with said website industry attribute.
10. device as claimed in claim 8 is characterized in that, said computing unit adopts clustering algorithm to calculate the density of each target participle in each Webpage respectively.
11. device as claimed in claim 8 is characterized in that, said computing unit when calculating the degree of association between this target participle and the said search key, adopts following formula based on the density of any target participle in each Webpage:
The degree of association=X1*w1+X2*w2+......Xm*wn
Wherein, X1, X2 ... Xm is the density of said any target participle in each Webpage, w1, w2 ... wn is the weight of each Webpage.
12. device as claimed in claim 11 is characterized in that, when said computing unit is confirmed the weight of any Webpage, and a kind of or combination in any in reference site authority index, website specialty index, user's clicking rate and the target participle occurrence number.
13. like each described device of claim 8-12; It is characterized in that; Said display unit is preserved the target participle that obtains as the retrieval conjunctive word of said search key; When treating that the user imports said search key next time, directly obtain corresponding retrieval conjunctive word and present to the user.
14. device as claimed in claim 13 is characterized in that, further comprises:
Updating block is used for upgrading the corresponding retrieval conjunctive word of said search key according to setting cycle.
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Cited By (14)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103425742A (en) * | 2013-07-16 | 2013-12-04 | 北京中科汇联信息技术有限公司 | Method and device for searching website |
| CN103678376A (en) * | 2012-09-17 | 2014-03-26 | 鸿富锦精密工业（深圳）有限公司 | Searching system and searching method |
| CN104281619A (en) * | 2013-07-11 | 2015-01-14 | 鸿富锦精密工业（深圳）有限公司 | System and method for ordering search results |
| CN104376034A (en) * | 2013-08-13 | 2015-02-25 | 索尼公司 | Information processing apparatus, information processing method, and program |
| WO2015100980A1 (en) * | 2013-12-31 | 2015-07-09 | 华为技术有限公司 | Information retrieval method and device |
| CN105117487A (en) * | 2015-09-19 | 2015-12-02 | 杭州电子科技大学 | Book semantic retrieval method based on content structures |
| CN105930488A (en) * | 2016-05-03 | 2016-09-07 | 乐视控股（北京）有限公司 | Information search processing method and apparatus |
| CN106570116A (en) * | 2016-11-01 | 2017-04-19 | 北京百度网讯科技有限公司 | Aggregation method and device for search results based on artificial intelligence |
| CN108241699A (en) * | 2016-12-26 | 2018-07-03 | 百度在线网络技术（北京）有限公司 | For the method and apparatus of pushed information |
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| CN111914201A (en) * | 2020-08-07 | 2020-11-10 | 腾讯科技（深圳）有限公司 | Network page processing method and device |
| CN112115389A (en) * | 2019-06-21 | 2020-12-22 | 北京字节跳动网络技术有限公司 | Information processing method and device, storage medium and electronic equipment |
| CN112579912A (en) * | 2020-12-29 | 2021-03-30 | 湖北亿咖通科技有限公司 | Searching method, electronic equipment and computer storage medium |
Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101276361A (en) * | 2007-03-28 | 2008-10-01 | 阿里巴巴集团控股有限公司 | Method and system for displaying related key words |
| CN101593206A (en) * | 2009-06-25 | 2009-12-02 | 腾讯科技（深圳）有限公司 | Searching method and device based on answer in the question and answer interaction platform |
| CN101807183A (en) * | 2009-02-18 | 2010-08-18 | 财团法人资讯工业策进会 | Real-time extension method and system of key vocabularies and computer erasable recording medium thereof |
-
2010
- 2010-12-31 CN CN2010106185605A patent/CN102567409A/en active Pending
Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101276361A (en) * | 2007-03-28 | 2008-10-01 | 阿里巴巴集团控股有限公司 | Method and system for displaying related key words |
| CN101807183A (en) * | 2009-02-18 | 2010-08-18 | 财团法人资讯工业策进会 | Real-time extension method and system of key vocabularies and computer erasable recording medium thereof |
| CN101593206A (en) * | 2009-06-25 | 2009-12-02 | 腾讯科技（深圳）有限公司 | Searching method and device based on answer in the question and answer interaction platform |
Cited By (19)
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| CN103678376A (en) * | 2012-09-17 | 2014-03-26 | 鸿富锦精密工业（深圳）有限公司 | Searching system and searching method |
| CN104281619A (en) * | 2013-07-11 | 2015-01-14 | 鸿富锦精密工业（深圳）有限公司 | System and method for ordering search results |
| CN103425742A (en) * | 2013-07-16 | 2013-12-04 | 北京中科汇联信息技术有限公司 | Method and device for searching website |
| CN104376034A (en) * | 2013-08-13 | 2015-02-25 | 索尼公司 | Information processing apparatus, information processing method, and program |
| CN104376034B (en) * | 2013-08-13 | 2019-06-25 | 索尼公司 | Information processing equipment, information processing method and program |
| WO2015100980A1 (en) * | 2013-12-31 | 2015-07-09 | 华为技术有限公司 | Information retrieval method and device |
| CN105117487B (en) * | 2015-09-19 | 2018-11-16 | 杭州电子科技大学 | A kind of books semantic retrieving method based on content structure |
| CN105117487A (en) * | 2015-09-19 | 2015-12-02 | 杭州电子科技大学 | Book semantic retrieval method based on content structures |
| CN105930488A (en) * | 2016-05-03 | 2016-09-07 | 乐视控股（北京）有限公司 | Information search processing method and apparatus |
| CN106570116A (en) * | 2016-11-01 | 2017-04-19 | 北京百度网讯科技有限公司 | Aggregation method and device for search results based on artificial intelligence |
| CN106570116B (en) * | 2016-11-01 | 2020-05-22 | 北京百度网讯科技有限公司 | Search result aggregation method and device based on artificial intelligence |
| CN108241699A (en) * | 2016-12-26 | 2018-07-03 | 百度在线网络技术（北京）有限公司 | For the method and apparatus of pushed information |
| CN109189896A (en) * | 2018-09-28 | 2019-01-11 | 深圳市谷熊网络科技有限公司 | A kind of method, device and equipment of feedback information |
| CN112115389A (en) * | 2019-06-21 | 2020-12-22 | 北京字节跳动网络技术有限公司 | Information processing method and device, storage medium and electronic equipment |
| CN110347920A (en) * | 2019-07-02 | 2019-10-18 | 北京纵横无双科技有限公司 | A kind of search matching method and device of health and fitness information |
| CN111914201A (en) * | 2020-08-07 | 2020-11-10 | 腾讯科技（深圳）有限公司 | Network page processing method and device |
| CN111914201B (en) * | 2020-08-07 | 2023-11-07 | 腾讯科技（深圳）有限公司 | Processing method and device of network page |
| CN112579912A (en) * | 2020-12-29 | 2021-03-30 | 湖北亿咖通科技有限公司 | Searching method, electronic equipment and computer storage medium |
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Application publication date: 20120711 |