CN104516887A

CN104516887A - Webpage data search method, device and system

Info

Publication number: CN104516887A
Application number: CN201310451669.8A
Authority: CN
Inventors: 王曦; 李未; 陈单枝; 张凯; 青欣; 贺柏森; 刘斯睿; 刘玉磊; 冯诚; 王智培; 黄英; 胡博; 唐廷勇
Original assignee: Tencent Technology Shenzhen Co Ltd
Current assignee: Tencent Technology Shenzhen Co Ltd
Priority date: 2013-09-27
Filing date: 2013-09-27
Publication date: 2015-04-15
Anticipated expiration: 2033-09-27
Also published as: TW201512865A; CN104516887B; WO2015043430A1

Abstract

The embodiment of the invention discloses webpage data search method, device and system. The method comprises the steps of acquiring search keywords related to webpage data; searching through each search engine according to the search keywords to obtain the search result of the search keywords in each search engine; acquiring the quality information of the search results; then selecting the optimal search results from the search results as the recommended search results according to the quality information; recommending the recommended search results to a user. According to the scheme, the method has the advantages that the optimal search results can be automatically selected from the search results of a plurality of search engines and recommended to the user, and the user does not need to manually switch different search engines to compare the search results corresponding to each search engine, so that the convenience of operation of the user is greatly improved, the operation is flexible and quick, and the search quality can be improved.

Description

A kind of web data searching method, device and system

Technical field

The present invention relates to communication technical field, be specifically related to a kind of web data searching method, device and system.

Background technology

Search engine, refers to according to certain strategy, uses specific computer program to gather information from internet, and after organizing the information collected and processing, for user provides retrieval service, the information display of being correlated with by user search is to the system of user.Wherein, search engine can comprise full-text index, directory index, META Search Engine, vertical search engine, aggregation type search engine, door search engine and free lists of links etc.Because different search engines can adopt different searching algorithms; therefore; the Search Results that different search engines provides is also not exclusively the same; so; user often can be different according to different target selections search engine, or use multiple search engine to obtain more more fully Search Results.

In the prior art, major browsers generally all can provide the function switching search engine in search column or homepage, and like this, user just can select suitable search engine according to the demand of self before a search is initiated, to search for; If user is unsatisfied with the Search Results drawn, then user must return search column or homepage, reselects search engine and again initiates search.

To in the research and practice process of prior art, the present inventor finds, existing search plan underaction, quick, and search quality is limited.

Summary of the invention

The embodiment of the present invention provides a kind of web data searching method, device and system, not only flexibly and fast, and can improve search quality.

A kind of web data searching method, comprising:

Obtain the search keyword about web data;

Search for respectively by each search engine according to described search keyword, obtain the Search Results of described search keyword at each search engine;

Obtain the quality information of described search keyword at the Search Results of each search engine respectively, described quality information comprises the clicking rate of described Search Results, score information and/or the frequency of occurrences;

The Search Results of each search engine, optimum Search Results is selected from described search keyword, as recommendation Search Results according to described quality information;

Described recommendation Search Results is recommended to user.

A kind of web data searcher, comprising:

Keyword acquiring unit, for obtaining the search keyword about web data;

Search unit, for searching for respectively by each search engine according to described search keyword, obtains the Search Results of described search keyword at each search engine;

Information acquisition unit, for obtaining the quality information of described search keyword at the Search Results of each search engine respectively, described quality information comprises the clicking rate of described Search Results, score information and/or the frequency of occurrences;

Selection unit, for selecting optimum Search Results according to described quality information from described search keyword the Search Results of each search engine, as recommendation Search Results;

Recommendation unit, for recommending described recommendation Search Results to user.

A kind of communication system, is characterized in that, comprise any one web data searcher that the embodiment of the present invention provides.

The embodiment of the present invention adopts and obtains search keyword, search for respectively by each search engine according to this search keyword, obtain the Search Results of this search keyword at each search engine, then the quality information of these Search Results is obtained respectively, subsequently, from these Search Results, select optimum Search Results as recommendation Search Results according to this quality information, and recommend this recommendation Search Results to user; Adopt the program automatically can select optimum Search Results from the Search Results that multiple search engine obtains, and recommend user, and without the need to the different search engine of user's manual switchover to compare the Search Results corresponding to each search engine, greatly facilitate user operation, not only flexibly and fast, and can search quality be improved.

Accompanying drawing explanation

In order to be illustrated more clearly in the technical scheme in the embodiment of the present invention, below the accompanying drawing used required in describing embodiment is briefly described, apparently, accompanying drawing in the following describes is only some embodiments of the present invention, for those skilled in the art, under the prerequisite not paying creative work, other accompanying drawing can also be obtained according to these accompanying drawings.

Fig. 1 is the process flow diagram of the web data searching method that the embodiment of the present invention provides;

Fig. 2 is another process flow diagram of the web data searching method that the embodiment of the present invention provides;

Fig. 3 is the another process flow diagram of the web data searching method that the embodiment of the present invention provides;

Fig. 4 is the structural representation that the embodiment of the present invention provides web data searcher;

Fig. 5 is the structural representation of the terminal that the embodiment of the present invention provides.

Embodiment

Below in conjunction with the accompanying drawing in the embodiment of the present invention, be clearly and completely described the technical scheme in the embodiment of the present invention, obviously, described embodiment is only the present invention's part embodiment, instead of whole embodiments.Based on the embodiment in the present invention, those skilled in the art, not making the every other embodiment obtained under creative work prerequisite, belong to the scope of protection of the invention.

The embodiment of the present invention provides a kind of web data searching method, device and system.Below be described in detail respectively.

Embodiment one,

Angle from web data searcher is described by the present embodiment, this web data searcher specifically can be in the terminal integrated, this terminal is specifically as follows smart mobile phone, panel computer, E-book reader, dynamic image expert compression standard audio frequency aspect 3(Moving Picture Experts Group Audio LayerIII, MP3) player, dynamic image expert compression standard audio frequency aspect 4(Moving Picture ExpertsGroup Audio Layer IV, MP4) player, pocket computer on knee and desk-top computer etc.

A kind of web data searching method, comprise: obtain the search keyword about web data, search for respectively by each search engine according to this search keyword, obtain the Search Results of this search keyword at each search engine, obtain the quality information of these Search Results respectively, wherein, this quality information can comprise the clicking rate of these Search Results, score information and/or the frequency of occurrences, then, from these Search Results, optimum Search Results is selected according to these quality informations, as recommendation Search Results, and recommend this recommendation Search Results to user.

As shown in Figure 1, idiographic flow is as follows:

101, the search keyword about web data is obtained.

Such as, specifically can receive the search keyword about web data that user inputs in Webpage search hurdle, such as, search keywords such as " mobile phones " that reception user inputs in Webpage search hurdle, again such as, search keywords such as " resumes of Zhang San " that reception user takes in Webpage search hurdle, etc.

102, search for respectively by each search engine according to this search keyword, obtain the Search Results of this search keyword at each search engine.

Such as, if there is search engine 1, search engine 2, search engine 3, the search engines such as search engine 4 and search engine 5, then now, can according to this search keyword respectively by search engine 1, search engine 2, search engine 3, the search engines such as search engine 4 and search engine 5 are searched for, obtain the Search Results of this search keyword at each search engine, namely the Search Results 1 obtained after utilizing search engine 1 to search for this search keyword, the Search Results 2 obtained after utilizing search engine 2 to search for this search keyword, the Search Results 3 obtained after utilizing search engine 3 to search for this search keyword, the Search Results 4 obtained after utilizing search engine 4 to search for this search keyword, and the Search Results 5 obtained after utilizing search engine 5 to search for this search keyword, etc..

103, obtain the quality information of these Search Results respectively, namely obtain the quality information of this search keyword at the Search Results of each search engine respectively.

Wherein, the approach obtained can have multiple, such as can by obtaining various information at network side, the information then got according to these calculates in terminal, to obtain quality information, or, directly can also obtain this quality information by cloud computing, etc., namely, such as, specifically can be as follows:

The quality information of described search keyword at the Search Results of each search engine is obtained respectively by cloud computing.

Wherein, this quality information can comprise clicking rate, the factor such as score information and/or the frequency of occurrences of this Search Results.

Such as, or for search engines such as search engine 1, search engine 2, search engine 3, search engine 4 and search engines 5, then now specifically can obtain the quality information etc. of the quality information of Search Results 1, the quality information of Search Results 2, the quality information of Search Results 3, the quality information of Search Results 4 and Search Results 5.

104, from these Search Results (namely this search keyword is at the Search Results of each search engine), optimum Search Results is selected according to the quality information obtained in step 103, as recommendation Search Results.

Wherein, the mode of selection can have multiple, such as, any one mode following specifically can be adopted to realize:

(1) comprehensive grading mode;

According to the first preset strategy, comprehensive grading is carried out to these quality informations, obtain comprehensive grading result, according to these comprehensive grading results Search Results that selection mark is the highest in these Search Results (namely this search keyword is at the Search Results of each search engine) as recommendation Search Results.

Wherein, this first preset strategy specifically can be arranged according to the hobby of practical application and/or user, such as, comprehensive grading can be carried out according to factor proportions in quality information such as clicking rate, score information and/or the frequencies of occurrences to these quality informations, obtain comprehensive grading result.

Such as, if quality information comprises clicking rate, score information and the frequency of occurrences three factors, and user is arranged on when carrying out comprehensive grading, clicking rate proportion in quality information is 30%, score information proportion in quality information is 50%, frequency of occurrences proportion in quality information is 20%, then can distinguish first to the clicking rate of each Search Results, score information and the frequency of occurrences are marked, obtain the clicking rate mark of each Search Results respectively, score information mark and frequency of occurrences mark, then according to following formulae discovery comprehensive grading result (i.e. comprehensive grading mark):

Comprehensive grading result=30% clicking rate mark+50% score information mark+20% frequency of occurrences mark.

It should be noted that, below only comprise clicking rate, score information and the frequency of occurrences three factors for quality information to be described, should be understood that, also one or more factors in clicking rate, score information and the frequency of occurrences can not be comprised in quality information, or, except above-mentioned factor, can also other factor, etc.; In addition, above-mentioned clicking rate, score information and the frequency of occurrences ratio shared by quality information is only also example, and should be understood that, this ratio can be arranged according to the hobby of the demand of practical application and/or user, its implementation is similar, does not repeat them here.

Also it should be noted that, the mode of last computation comprehensive grading result is only a kind of implementation of the embodiment of the present invention, should be understood that, can also adopt other account form, not repeat them here.

(2) according to preset strategy sequence;

According to the second preset strategy, these quality informations are sorted, obtain ranking results, in these Search Results (namely this search keyword is at the Search Results of each search engine), optimum Search Results is selected, as recommendation Search Results according to this ranking results.

Wherein, this second preset strategy specifically can be arranged according to the hobby of practical application and/or user, such as, can carry out from high to low or from low to high sorting, carrying out sorting and/or sorting from high to low or from low to high according to the frequency of occurrences from high to low or from low to high according to score information according to clicking rate, etc., specifically can be as follows:

If this second preset strategy of A is for sort from high to low according to clicking rate, then, step " is selected optimum Search Results according to this ranking results, as recommendation Search Results " and is specifically as follows in these Search Results:

According to this ranking results Search Results that selected and sorted is the most front in these Search Results (namely this search keyword is at the Search Results of each search engine), as recommendation Search Results.

If this second preset strategy of B is for sort from low to high according to clicking rate, then step " is selected optimum Search Results according to this ranking results, as recommendation Search Results " and is specifically as follows in these Search Results:

According to this ranking results Search Results that selected and sorted is last in these Search Results (namely this search keyword is at the Search Results of each search engine), as recommendation Search Results.

If this second preset strategy of C is for sort from high to low according to score information, then step " is selected optimum Search Results according to this ranking results, as recommendation Search Results " and is specifically as follows in these Search Results:

If this second preset strategy of D is for sort from low to high according to score information, then step " is selected optimum Search Results according to this ranking results, as recommendation Search Results " and is specifically as follows in these Search Results:

If this second preset strategy of E is for sort from high to low according to the frequency of occurrences, then step " is selected optimum Search Results according to this ranking results, as recommendation Search Results " and is specifically as follows in these Search Results:

If this second preset strategy of F is for sort from low to high according to the frequency of occurrences, then step " is selected optimum Search Results according to described ranking results, as recommendation Search Results " and is specifically as follows in these Search Results:

It should be noted that, be only described for clicking rate, score information and the frequency of occurrences three factors above, should be understood that, also can comprise other factors in quality information, its implementation is same as described above, does not repeat them here.

105, the recommendation Search Results obtained in user's recommendation step 104.

Such as, have and in the webpage of Search Results, preferentially can show this recommendation Search Results, and, Search Results of this preferential display of user can also be pointed out to be the Search Results of " recommendation ", such as, the Search Results side preferentially shown at this is designated " recommendation ", etc.

In addition, other search engine can also be shown, and/or show the Search Results that other search engines search, so that user flexibility carries out selecting and switching.Namely, after step " recommends this recommendation Search Results " to user, this web data searching method can also comprise:

Show the link of other non-recommended Search Results, and the search engine mark of correspondence, so that user switches.

Such as, select the Search Results " Search Results 1 " of search engine 1 for recommending Search Results if final, then search result web page preferentially can show " Search Results 1 ", and be designated " recommendation ", then, other search engine can be shown below, the such as link of the mark of search engine 2, search engine 3, search engine 4 and search engine 5 etc. and the Search Results of these search engines at this " Search Results 1 ".Wherein, the clooating sequence of its these Search Results is decided according to the quality of the quality information of the Search Results of these search engines, it judges that the method for the quality of quality information and above-mentioned selection recommend that the method for Search Results is similar (such as can sort according to comprehensive grading result or directly sort according to the second preset strategy, etc.), do not repeat them here.

As from the foregoing, the present embodiment adopts and obtains search keyword, search for respectively by each search engine according to this search keyword, obtain the Search Results of this search keyword at each search engine, then the quality information of these Search Results is obtained respectively, subsequently, from these Search Results, select optimum Search Results as recommendation Search Results according to this quality information, and recommend this recommendation Search Results to user; Adopt the program automatically can select optimum Search Results from the Search Results that multiple search engine obtains, and recommend user, and without the need to the different search engine of user's manual switchover to compare the Search Results corresponding to each search engine, greatly facilitate user operation, not only flexibly and fast, and can search quality be improved.

On the basis described by enforcement one, below will be described in further detail in embodiment two and embodiment three kinds of citings.

Embodiment two,

In the present embodiment, will be described in the terminal so that this web data searcher is specifically integrated.

A kind of web data searching method, as shown in Figure 2, idiographic flow can be as follows:

201, terminal obtains the search keyword about web data.

202, terminal is searched for respectively by each search engine according to this search keyword, obtains the Search Results of this search keyword at each search engine.

Such as, be " mobile phone " to search for keyword, if there is search engine 1, search engine 2, search engine 3, the search engines such as search engine 4 and search engine 5, then now, can respectively by search engine 1, search engine 2, search engine 3, the search engines such as search engine 4 and search engine 5 are searched for search keyword " mobile phone ", obtain the Search Results of this search keyword " mobile phone " at each search engine, namely the Search Results 1 obtained after utilizing search engine 1 to search for this search keyword " mobile phone ", the Search Results 2 obtained after utilizing search engine 2 to search for this search keyword " mobile phone ", the Search Results 3 obtained after utilizing search engine 3 to search for this search keyword " mobile phone ", the Search Results 4 obtained after utilizing search engine 4 to search for this search keyword " mobile phone ", and the Search Results 5 obtained after utilizing search engine 5 to search for this search keyword " mobile phone ", etc..

203, terminal obtains the quality information of these Search Results respectively.

Wherein, the approach obtained can have multiple, such as can by obtaining various information at network side, the information then got according to these calculates in terminal, to obtain quality information, or, directly can also obtain this quality information by cloud computing, etc., namely, such as, step 203 specifically can be as follows:

Terminal obtains the quality information of described search keyword at the Search Results of each search engine respectively by cloud computing.

204, terminal carries out comprehensive grading according to the first preset strategy to these quality informations, obtains comprehensive grading result.

205, terminal selects Search Results that mark is the highest as recommendation Search Results according to these comprehensive grading results in these Search Results.

Such as, if calculated in step 204, the comprehensive grading result of " Search Results 1 " is the highest, then now can using " Search Results 1 " as recommendation Search Results.

206, the recommendation Search Results that obtains in user's recommendation step 205 of terminal.

In addition, other search engine can also be shown, and/or show the Search Results that other search engines search, so that user flexibility carries out selecting and switching.Namely step 207 can also be performed.

The search engine mark of 207, the link of other non-recommended Search Results of terminal demonstration, and correspondence, so that user switches.

As from the foregoing, the present embodiment adopts and obtains search keyword by terminal, search for respectively by each search engine according to this search keyword, obtain the Search Results of this search keyword at each search engine, obtain the quality information of these Search Results respectively, according to the first preset strategy, comprehensive grading is carried out to these quality informations, obtain comprehensive grading result, then in these Search Results, select Search Results that mark is the highest as recommendation Search Results according to these comprehensive grading results, and recommend this recommendation Search Results to user; Adopt the program automatically can select optimum Search Results from the Search Results that multiple search engine obtains, and recommend user, and without the need to the different search engine of user's manual switchover to compare the Search Results corresponding to each search engine, greatly facilitate user operation, not only flexibly and fast, and can search quality be improved.

Embodiment three,

Identical with embodiment two is, in the present embodiment, be described in the terminal so that this web data searcher is specifically integrated equally, with embodiment two unlike, in enforcement two, mainly through calculating the comprehensive grading result of the quality information of each Search Results, therefrom select optimum Search Results, and in the present embodiment, another mode will be adopted, namely by directly sorting to these quality informations, therefrom selecting optimum Search Results to be that example is described, below will be described in detail.

A kind of web data searching method, as shown in Figure 3, idiographic flow can be as follows:

301, terminal obtains the search keyword about web data.

302, terminal is searched for respectively by each search engine according to this search keyword, obtains the Search Results of this search keyword at each search engine.

303, terminal obtains the quality information of these Search Results respectively.

304, terminal sorts to these quality informations according to the second preset strategy, obtains ranking results.

Wherein, this second preset strategy specifically can be arranged according to the hobby of practical application and/or user, such as, and specifically can any one or a few mode as follows:

A, to sort from high to low according to clicking rate.

B, to sort from low to high according to clicking rate.

C, to sort from high to low according to score information.

D, to sort from low to high according to score information.

E, to sort from high to low according to the frequency of occurrences.

F, to sort from low to high according to the frequency of occurrences.

305, terminal selects optimum Search Results according to this ranking results in these Search Results, as recommendation Search Results.Such as specifically can be as follows:

If this second preset strategy of A is for sort from high to low according to clicking rate, then, step " terminal selects optimum Search Results according to this ranking results in these Search Results, as recommendation Search Results (i.e. step 305) " is specifically as follows:

Terminal according to this ranking results Search Results that selected and sorted is the most front in these Search Results, as recommendation Search Results.

If this second preset strategy of B is for sort from low to high according to clicking rate, then step " terminal selects optimum Search Results according to this ranking results in these Search Results, as recommendation Search Results (i.e. step 305) " is specifically as follows:

Terminal according to this ranking results Search Results that selected and sorted is last in these Search Results, as recommendation Search Results.

If this second preset strategy of C is for sort from high to low according to score information, then step " terminal selects optimum Search Results according to this ranking results in these Search Results, as recommendation Search Results (i.e. step 305) " is specifically as follows:

If this second preset strategy of D is for sort from low to high according to score information, then step " terminal selects optimum Search Results according to this ranking results in these Search Results, as recommendation Search Results (i.e. step 305) " is specifically as follows:

If this second preset strategy of E is for sort from high to low according to the frequency of occurrences, then step " terminal selects optimum Search Results according to this ranking results in these Search Results, as recommendation Search Results (i.e. step 305) " is specifically as follows:

If this second preset strategy of F is for sort from low to high according to the frequency of occurrences, then step " terminal selects optimum Search Results according to described ranking results in these Search Results, as recommendation Search Results (i.e. step 305) " is specifically as follows:

306, the recommendation Search Results that obtains in user's recommendation step 305 of terminal.

In addition, other search engine can also be shown, and/or show the Search Results that other search engines search, so that user flexibility carries out selecting and switching.Namely step 307 can also be performed.

The search engine mark of 307, the link of other non-recommended Search Results of terminal demonstration, and correspondence, so that user switches.

As from the foregoing, the present embodiment adopts and obtains search keyword by terminal, search for respectively by each search engine according to this search keyword, obtain the Search Results of this search keyword at each search engine, obtain the quality information of these Search Results respectively, according to the second preset strategy, these quality informations are sorted, then in these Search Results, select optimum Search Results as recommendation Search Results according to ranking results, and recommend this recommendation Search Results to user; Adopt the program automatically can select optimum Search Results from the Search Results that multiple search engine obtains, and recommend user, and without the need to the different search engine of user's manual switchover to compare the Search Results corresponding to each search engine, greatly facilitate user operation, not only flexibly and fast, and can search quality be improved.

Embodiment four,

In order to implement above method better, the embodiment of the present invention also provides a kind of web data searcher, as described in Figure 4, this web data searcher comprises keyword acquiring unit 401, search unit 402, information acquisition unit 403, selection unit 404 and recommendation unit 405.

Keyword acquiring unit 401, for obtaining the search keyword about web data.

Search unit 402, for searching for respectively by each search engine according to this search keyword, obtains the Search Results of described search keyword at each search engine.

Information acquisition unit 403, for obtaining the quality information of this search keyword at the Search Results of each search engine respectively.

Such as, information acquisition unit 403, specifically may be used for obtaining the quality information of described search keyword at the Search Results of each search engine respectively by cloud computing.

Such as, or for search engines such as search engine 1, search engine 2, search engine 3, search engine 4 and search engines 5, then now information acquisition unit 403 specifically may be used for obtaining the quality information etc. of the quality information of Search Results 1, the quality information of Search Results 2, the quality information of Search Results 3, the quality information of Search Results 4 and Search Results 5.

Selection unit 404, for selecting optimum Search Results according to these quality informations from described search keyword the Search Results of each search engine, as recommendation Search Results.

Recommendation unit 405, for the recommendation Search Results selected to user's recommendations for selection unit 404.

Wherein, select to recommend the mode of Search Results can have multiple, such as, any one mode following specifically can be adopted to realize:

(1) comprehensive grading mode;

Selection unit 404 can comprise scoring subelement and chooser unit, specifically can be as follows:

Scoring subelement, for carrying out comprehensive grading according to the first preset strategy to described quality information, obtains comprehensive grading result;

First chooser unit, for selecting Search Results that mark is the highest as recommendation Search Results in the Search Results of described search keyword at each search engine according to the comprehensive grading result that obtains of scoring subelement.

Wherein, this first preset strategy specifically can be arranged according to the hobby of practical application and/or user, such as, scoring subelement specifically can carry out comprehensive grading according to factor proportions in quality information such as clicking rate, score information and/or the frequencies of occurrences to these quality informations, obtains comprehensive grading result.

(2) according to preset strategy sequence;

Selection unit can comprise sequence subelement and the second chooser unit, specifically can be as follows:

Sequence subelement, for sorting to these quality informations according to the second preset strategy, obtains ranking results;

Second chooser unit, for selecting optimum Search Results, as recommendation Search Results according to sequence subelement ranking results in the Search Results of described search keyword at each search engine.

Wherein, this second preset strategy specifically can be arranged according to the hobby of practical application and/or user, such as, can carry out from high to low or from low to high sorting, carrying out sorting and/or sorting from high to low or from low to high according to the frequency of occurrences from high to low or from low to high according to score information according to clicking rate, etc., i.e. the second chooser unit, specifically may be used for:

If this second preset strategy is for sort from high to low according to clicking rate, then according to this ranking results Search Results that selected and sorted is the most front in the Search Results of this search keyword at each search engine, as recommendation Search Results; And/or,

If this second preset strategy is for sort from low to high according to clicking rate, then according to this ranking results Search Results that selected and sorted is last in the Search Results of this search keyword at each search engine, as recommendation Search Results; And/or,

If this second preset strategy is for sort from high to low according to score information, then according to this ranking results Search Results that selected and sorted is the most front in the Search Results of this search keyword at each search engine, as recommendation Search Results; And/or,

If this second preset strategy is for sort from low to high according to score information, then according to this ranking results Search Results that selected and sorted is last in the Search Results of described search keyword at each search engine, as recommendation Search Results; And/or,

If this second preset strategy is for sort from high to low according to the frequency of occurrences, then according to this ranking results Search Results that selected and sorted is the most front in the Search Results of described search keyword at each search engine, as recommendation Search Results; And/or,

If this second preset strategy is for sort from low to high according to the frequency of occurrences, then according to this ranking results Search Results that selected and sorted is last in the Search Results of described search keyword at each search engine, as recommendation Search Results.

In addition, except recommending except Search Results to user by recommendation unit 405, other search engine can also be shown, and/or show the Search Results that other search engines search, so that user flexibility carries out selecting and switching.Namely this web data searcher can also comprise display unit;

Display unit, for showing the link of other non-recommended Search Results, and the search engine mark of correspondence, so that user switches.

During specific implementation, above unit can realize as independently entity, also can carry out combination in any, realize as same or several entities, the concrete enforcement of above unit, see embodiment of the method above, can not repeat them here.

This web data searcher specifically can be in the terminal integrated, and this terminal is specifically as follows smart mobile phone, panel computer, E-book reader, MP3 player, MP4 player, pocket computer on knee and desk-top computer etc.

As from the foregoing, the keyword acquiring unit 401 of the web data searcher of the present embodiment can obtain search keyword, then searched for respectively by each search engine according to this search keyword by search unit 402, obtain the Search Results of this search keyword at each search engine, then the quality information of these Search Results is obtained respectively by information acquisition unit 403, subsequently, from these Search Results, select optimum Search Results as recommendation Search Results by selection unit 404 according to this quality information, and recommend this recommendation Search Results by recommendation unit 405 to user, adopt the program automatically can select optimum Search Results from the Search Results that multiple search engine obtains, and recommend user, and without the need to the different search engine of user's manual switchover to compare the Search Results corresponding to each search engine, greatly facilitate user operation, not only flexibly and fast, and can search quality be improved.

Embodiment five,

Accordingly, the embodiment of the present invention also provides a kind of communication system, comprises any one web data searcher that the embodiment of the present invention provides, this web data searcher can see embodiment four, such as, be specifically integrated in terminal for this web data searcher, can be as follows:

Terminal, specifically for obtaining the search keyword about web data, search for respectively by each search engine according to this search keyword, obtain the Search Results of this search keyword at each search engine, obtain the quality information of these Search Results respectively, then, from these Search Results, select optimum Search Results according to these quality informations, as recommendation Search Results, and recommend this recommendation Search Results to user.

Wherein, this quality information can comprise clicking rate, the factor such as score information and/or the frequency of occurrences of these Search Results.

Wherein, terminal, specifically may be used for obtaining the quality information of this search keyword at the Search Results of each search engine respectively by cloud computing.

Optionally, in these Search Results, select the mode of optimum Search Results can have multiple, such as, specifically can be as follows:

Terminal, specifically may be used for carrying out comprehensive grading according to the first preset strategy to these quality informations, obtains comprehensive grading result, selects Search Results that mark is the highest as recommendation Search Results according to these comprehensive grading results in these Search Results.

Or, terminal specifically may be used for sorting to these quality informations according to the second preset strategy, obtain ranking results, in these Search Results (namely this search keyword is at the Search Results of each search engine), optimum Search Results is selected, as recommendation Search Results according to this ranking results.

Wherein, this second preset strategy specifically can be arranged according to the hobby of practical application and/or user, such as, can carry out from high to low or from low to high sorting, carrying out sorting and/or sorting from high to low or from low to high according to the frequency of occurrences from high to low or from low to high according to score information according to clicking rate, etc., specifically see embodiment above, can not repeat them here.

In addition, this communication system can also comprise server, such as other equipment such as web page server;

Server, for providing Search Results to this terminal, does not repeat them here.

The concrete enforcement of each equipment see embodiment above, can not repeat them here above.

Because this communication system comprises any one web data searcher that the embodiment of the present invention provides, therefore can realize the beneficial effect same with web data searcher, detailed in Example four, does not repeat them here.

Embodiment six,

Accordingly, the embodiment of the present invention also provides a kind of terminal, be integrated with the web data searcher that the embodiment of the present invention provides, as shown in Figure 5, this terminal can comprise radio frequency (RF, Radio Frequency) circuit 501, the storer 502 including one or more computer-readable recording mediums, input block 503, display unit 504, sensor 505, voicefrequency circuit 506, Wireless Fidelity (WiFi, Wireless Fidelity) module 507, include the parts such as processor 508 and power supply 509 that more than or processes core.It will be understood by those skilled in the art that the restriction of the not structure paired terminal of the terminal structure shown in Fig. 5, the parts more more or less than diagram can be comprised, or combine some parts, or different parts are arranged.Wherein:

RF circuit 501 can be used for receiving and sending messages or in communication process, the reception of signal and transmission, especially, after being received by the downlink information of base station, transfer to more than one or one processor 508 to process; In addition, base station is sent to by relating to up data.Usually, RF circuit 501 includes but not limited to antenna, at least one amplifier, tuner, one or more oscillator, subscriber identity module (SIM, Subscriber IdentityModule) card, transceiver, coupling mechanism, low noise amplifier (LNA, Low Noise Amplifier), diplexer etc.In addition, RF circuit 501 can also by radio communication and network and other devices communicatings.Described radio communication can use arbitrary communication standard or agreement, include but not limited to global system for mobile communications (GSM, Global System of Mobile communication), general packet radio service (GPRS, General Packet Radio Service), CDMA (CDMA, Code Division MultipleAccess), Wideband Code Division Multiple Access (WCDMA) (WCDMA, Wideband Code Division Multiple Access), Long Term Evolution (LTE, Long Term Evolution), Email, Short Message Service (SMS, ShortMessaging Service) etc.

Storer 502 can be used for storing software program and module, and processor 508 is stored in software program and the module of storer 502 by running, thus performs the application of various function and data processing.Storer 502 mainly can comprise storage program district and store data field, and wherein, storage program district can store operating system, application program (such as sound-playing function, image player function etc.) etc. needed at least one function; Store data field and can store the data (such as voice data, phone directory etc.) etc. created according to the use of terminal.In addition, storer 502 can comprise high-speed random access memory, can also comprise nonvolatile memory, such as at least one disk memory, flush memory device or other volatile solid-state parts.Correspondingly, storer 502 can also comprise Memory Controller, to provide the access of processor 508 and input block 503 pairs of storeies 502.

Input block 503 can be used for the numeral or the character information that receive input, and produces and to arrange with user and function controls relevant keyboard, mouse, control lever, optics or trace ball signal and inputs.Particularly, in a specific embodiment, input block 503 can comprise Touch sensitive surface and other input equipments.Touch sensitive surface, also referred to as touch display screen or Trackpad, user can be collected or neighbouring touch operation (such as user uses any applicable object or the operations of annex on Touch sensitive surface or near Touch sensitive surface such as finger, stylus) thereon, and drive corresponding coupling arrangement according to the formula preset.Optionally, Touch sensitive surface can comprise touch detecting apparatus and touch controller two parts.Wherein, touch detecting apparatus detects the touch orientation of user, and detects the signal that touch operation brings, and sends signal to touch controller; Touch controller receives touch information from touch detecting apparatus, and converts it to contact coordinate, then gives processor 508, and the order that energy receiving processor 508 is sent also is performed.In addition, the polytypes such as resistance-type, condenser type, infrared ray and surface acoustic wave can be adopted to realize Touch sensitive surface.Except Touch sensitive surface, input block 503 can also comprise other input equipments.Particularly, other input equipments can include but not limited to one or more in physical keyboard, function key (such as volume control button, switch key etc.), trace ball, mouse, control lever etc.

Display unit 504 can be used for the various graphical user interface showing information or the information being supplied to user and the terminal inputted by user, and these graphical user interface can be made up of figure, text, icon, video and its combination in any.Display unit 504 can comprise display panel, optionally, the forms such as liquid crystal display (LCD, Liquid Crystal Display), Organic Light Emitting Diode (OLED, OrganicLight-Emitting Diode) can be adopted to configure display panel.Further, Touch sensitive surface can cover display panel, when Touch sensitive surface detects thereon or after neighbouring touch operation, sends processor 508 to determine the type of touch event, provide corresponding vision to export with preprocessor 508 on a display panel according to the type of touch event.Although in Figure 5, Touch sensitive surface and display panel be as two independently parts realize inputting and input function, in certain embodiments, can by Touch sensitive surface and display panel integrated and realize input and output function.

Terminal also can comprise at least one sensor 505, such as optical sensor, motion sensor and other sensors.Particularly, optical sensor can comprise ambient light sensor and proximity transducer, and wherein, ambient light sensor the light and shade of environmentally light can regulate the brightness of display panel, and proximity transducer at fast mobile terminal to time in one's ear, can cut out display panel and/or backlight.As the one of motion sensor; Gravity accelerometer can detect the size of all directions (are generally three axles) acceleration; size and the direction of gravity can be detected time static, can be used for identifying the application (such as horizontal/vertical screen switching, dependent game, magnetometer pose calibrating) of mobile phone attitude, Vibration identification correlation function (such as passometer, knock) etc.; As for terminal also other sensors such as configurable gyroscope, barometer, hygrometer, thermometer, infrared ray sensor, do not repeat them here.

Voicefrequency circuit 506, loudspeaker, microphone can provide the audio interface between user and terminal.Voicefrequency circuit 506 can by receive voice data conversion after electric signal, be transferred to loudspeaker, by loudspeaker be converted to voice signal export; On the other hand, the voice signal of collection is converted to electric signal by microphone, voice data is converted to after being received by voicefrequency circuit 506, after again voice data output processor 508 being processed, through RF circuit 501 to send to such as another terminal, or export voice data to storer 502 to process further.Voicefrequency circuit 506 also may comprise earphone jack, to provide the communication of peripheral hardware earphone and terminal.

WiFi belongs to short range wireless transmission technology, and terminal can help user to send and receive e-mail by WiFi module 507, browse webpage and access streaming video etc., and its broadband internet wireless for user provides is accessed.Although Fig. 5 shows WiFi module 507, be understandable that, it does not belong to must forming of terminal, can omit in the scope of essence not changing invention as required completely.

Processor 508 is control centers of terminal, utilize the various piece of various interface and the whole mobile phone of connection, software program in storer 502 and/or module is stored in by running or performing, and call the data be stored in storer 502, perform various function and the process data of terminal, thus integral monitoring is carried out to mobile phone.Optionally, processor 508 can comprise one or more process core; Preferably, processor 508 accessible site application processor and modem processor, wherein, application processor mainly processes operating system, user interface and application program etc., and modem processor mainly processes radio communication.Be understandable that, above-mentioned modem processor also can not be integrated in processor 508.

Terminal also comprises the power supply 509(such as battery of powering to all parts), preferably, power supply can be connected with processor 508 logic by power-supply management system, thus realizes the functions such as management charging, electric discharge and power managed by power-supply management system.Power supply 509 can also comprise one or more direct current or AC power, recharging system, power failure detection circuit, power supply changeover device or the random component such as inverter, power supply status indicator.

Although not shown, terminal can also comprise camera, bluetooth module etc., does not repeat them here.Specifically in the present embodiment, processor 508 in terminal can according to following instruction, executable file corresponding for the process of one or more application program is loaded in storer 502, and the application program be stored in storer 502 is run by processor 508, thus realize various function:

Although not shown, terminal can also comprise camera, bluetooth module etc., does not repeat them here.Specifically in the present embodiment, the display unit of terminal is touch-screen display, terminal also includes storer, and one or more than one program, one of them or more than one program are stored in storer, and are configured to be performed by more than one or one processor state more than one or one routine package containing the instruction for carrying out following operation:

Obtain the search keyword about web data, search for respectively by each search engine according to this search keyword, obtain the Search Results of this search keyword at each search engine, obtain the quality information of these Search Results respectively, from these Search Results, optimum Search Results is selected according to these quality informations, as recommendation Search Results, and recommend this recommendation Search Results to user.

Wherein, specifically the quality information of described search keyword at the Search Results of each search engine can be obtained respectively by cloud computing.And select to recommend the mode of Search Results also can have multiple, such as, any one mode following specifically can be adopted to realize:

(1) comprehensive grading mode;

According to the first preset strategy, comprehensive grading is carried out to these quality informations, obtain comprehensive grading result, in these Search Results, select Search Results that mark is the highest as recommendation Search Results according to these comprehensive grading results.

(2) according to preset strategy sequence;

According to the second preset strategy, these quality informations are sorted, obtain ranking results, in these Search Results, select optimum Search Results according to this ranking results, as recommendation Search Results.

In addition, optionally, except except the recommendation Search Results of user's recommendations for selection, other search engine can also be shown, and/or the Search Results that other search engines search is shown, so that user flexibility carries out selecting and switching.Namely, after step " recommends this recommendation Search Results " to user, this web data searching method can also comprise:

The specific implementation of each function see embodiment above, can not repeat them here above.

As from the foregoing, the terminal of the present embodiment adopts and obtains search keyword, search for respectively by each search engine according to this search keyword, obtain the Search Results of this search keyword at each search engine, then the quality information of these Search Results is obtained respectively, subsequently, from these Search Results, select optimum Search Results as recommendation Search Results according to this quality information, and recommend this recommendation Search Results to user; Adopt the program automatically can select optimum Search Results from the Search Results that multiple search engine obtains, and recommend user, and without the need to the different search engine of user's manual switchover to compare the Search Results corresponding to each search engine, greatly facilitate user operation, not only flexibly and fast, and can search quality be improved.

One of ordinary skill in the art will appreciate that all or part of step in the various methods of above-described embodiment is that the hardware that can carry out instruction relevant by program has come, this program can be stored in a computer-readable recording medium, storage medium can comprise: ROM (read-only memory) (ROM, Read Only Memory), random access memory (RAM, Random Access Memory), disk or CD etc.

Above a kind of web data searching method, device and system that the embodiment of the present invention provides are described in detail, apply specific case herein to set forth principle of the present invention and embodiment, the explanation of above embodiment just understands method of the present invention and core concept thereof for helping; Meanwhile, for those skilled in the art, according to thought of the present invention, all will change in specific embodiments and applications, in sum, this description should not be construed as limitation of the present invention.

Claims

1. a web data searching method, is characterized in that, comprising:

Obtain the search keyword about web data;

Described recommendation Search Results is recommended to user.

2. method according to claim 1, is characterized in that, the described Search Results selecting optimum according to described quality information from described search keyword the Search Results of each search engine, as recommendation Search Results, comprising:

According to the first preset strategy, comprehensive grading is carried out to described quality information, obtain comprehensive grading result;

In the Search Results of described search keyword at each search engine, select Search Results that mark is the highest as recommendation Search Results according to described comprehensive grading result.

3. method according to claim 2, is characterized in that, describedly carries out comprehensive grading according to the first preset strategy to described quality information, obtains comprehensive grading result, comprising:

According to clicking rate, score information and/or frequency of occurrences proportion in quality information, comprehensive grading is carried out to described quality information, obtain comprehensive grading result.

4. method according to claim 1, is characterized in that, the described Search Results selecting optimum according to described quality information from described search keyword the Search Results of each search engine, as recommendation Search Results, comprising:

According to the second preset strategy, described quality information is sorted, obtain ranking results;

In the Search Results of described search keyword at each search engine, optimum Search Results is selected, as recommendation Search Results according to described ranking results.

5. method according to claim 4, is characterized in that,

If described second preset strategy is for sort from high to low according to clicking rate, then describedly in the Search Results of described search keyword at each search engine, select optimum Search Results according to described ranking results, as recommendation Search Results, be specially: according to the described ranking results Search Results that selected and sorted is the most front in the Search Results of described search keyword at each search engine, as recommendation Search Results; And/or,

If described second preset strategy is for sort from low to high according to clicking rate, then describedly in the Search Results of described search keyword at each search engine, select optimum Search Results according to described ranking results, as recommendation Search Results, be specially: according to the described ranking results Search Results that selected and sorted is last in the Search Results of described search keyword at each search engine, as recommendation Search Results; And/or,

If described second preset strategy is for sort from high to low according to score information, then describedly in the Search Results of described search keyword at each search engine, select optimum Search Results according to described ranking results, as recommendation Search Results, be specially: according to the described ranking results Search Results that selected and sorted is the most front in the Search Results of described search keyword at each search engine, as recommendation Search Results; And/or,

If described second preset strategy is for sort from low to high according to score information, then describedly in the Search Results of described search keyword at each search engine, select optimum Search Results according to described ranking results, as recommendation Search Results, be specially: according to the described ranking results Search Results that selected and sorted is last in the Search Results of described search keyword at each search engine, as recommendation Search Results; And/or,

If described second preset strategy is for sort from high to low according to the frequency of occurrences, then describedly in the Search Results of described search keyword at each search engine, select optimum Search Results according to described ranking results, as recommendation Search Results, be specially: according to the described ranking results Search Results that selected and sorted is the most front in the Search Results of described search keyword at each search engine, as recommendation Search Results; And/or,

If described second preset strategy is for sort from low to high according to the frequency of occurrences, then describedly in the Search Results of described search keyword at each search engine, select optimum Search Results according to described ranking results, as recommendation Search Results, be specially: according to the described ranking results Search Results that selected and sorted is last in the Search Results of described search keyword at each search engine, as recommendation Search Results.

6. the method according to any one of claim 1 to 5, is characterized in that, describedly obtains described search keyword respectively at the quality information of the Search Results of each search engine, comprising:

7. the method according to any one of claim 1 to 5, is characterized in that, described to after user recommends described recommendation Search Results, also comprises:

8. a web data searcher, is characterized in that, comprising:

Keyword acquiring unit, for obtaining the search keyword about web data;

9. web data searcher according to claim 8, is characterized in that, described selection unit comprises scoring subelement and chooser unit;

First chooser unit, for selecting Search Results that mark is the highest as recommendation Search Results in the Search Results of described search keyword at each search engine according to described comprehensive grading result.

10. web data searcher according to claim 9, is characterized in that,

Described scoring subelement, specifically for carrying out comprehensive grading according to clicking rate, score information and/or frequency of occurrences proportion in quality information to described quality information, obtains comprehensive grading result.

11. web data searchers according to claim 8, is characterized in that, described selection unit comprises sequence subelement and the second chooser unit;

Sequence subelement, for sorting to described quality information according to the second preset strategy, obtains ranking results;

Second chooser unit, for selecting optimum Search Results according to described ranking results in the Search Results of described search keyword at each search engine, as recommendation Search Results.

12. web data searchers according to claim 11, is characterized in that, described second chooser unit, specifically for:

If described second preset strategy is for sort from high to low according to clicking rate, then according to the described ranking results Search Results that selected and sorted is the most front in the Search Results of described search keyword at each search engine, as recommendation Search Results; And/or,

If described second preset strategy is for sort from low to high according to clicking rate, then according to the described ranking results Search Results that selected and sorted is last in the Search Results of described search keyword at each search engine, as recommendation Search Results; And/or,

If described second preset strategy is for sort from high to low according to score information, then according to the described ranking results Search Results that selected and sorted is the most front in the Search Results of described search keyword at each search engine, as recommendation Search Results; And/or,

If described second preset strategy is for sort from low to high according to score information, then according to the described ranking results Search Results that selected and sorted is last in the Search Results of described search keyword at each search engine, as recommendation Search Results; And/or,

If described second preset strategy is for sort from high to low according to the frequency of occurrences, then according to the described ranking results Search Results that selected and sorted is the most front in the Search Results of described search keyword at each search engine, as recommendation Search Results; And/or,

If described second preset strategy is for sort from low to high according to the frequency of occurrences, then according to the described ranking results Search Results that selected and sorted is last in the Search Results of described search keyword at each search engine, as recommendation Search Results.

Web data searcher described in 13. any one of according to Claim 8 to 12, is characterized in that,

Described information acquisition unit, specifically for obtaining the quality information of described search keyword at the Search Results of each search engine respectively by cloud computing.

Web data searcher described in 14. any one of according to Claim 8 to 12, is characterized in that, also comprise display unit;

15. 1 kinds of communication systems, is characterized in that, comprise the web data searcher described in any one of claim 8 to 14.