CN104516887B - A kind of web data searching method, device and system - Google Patents
A kind of web data searching method, device and system Download PDFInfo
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- CN104516887B CN104516887B CN201310451669.8A CN201310451669A CN104516887B CN 104516887 B CN104516887 B CN 104516887B CN 201310451669 A CN201310451669 A CN 201310451669A CN 104516887 B CN104516887 B CN 104516887B
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- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/90—Details of database functions independent of the retrieved data types
- G06F16/95—Retrieval from the web
- G06F16/953—Querying, e.g. by the use of web search engines
- G06F16/9535—Search customisation based on user profiles and personalisation
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
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- G06F16/90—Details of database functions independent of the retrieved data types
- G06F16/95—Retrieval from the web
- G06F16/951—Indexing; Web crawling techniques
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Abstract
The embodiment of the invention discloses a kind of web data searching methods, device and system;The embodiment of the present invention is using the search key obtained about web data, pass through each search engine respectively according to the search key to scan for, the search key is obtained in the search result of each search engine, then the quality information of these search results is obtained respectively, subsequently, it is selected optimal search result as recommendation search result from these search results according to the quality information, and recommends the recommendation search result to user;Optimal search result can be selected from the obtained search result of multiple search engines automatically using the program, and recommend user, without user's manual switching difference search engine to be compared to search result corresponding to each search engine, greatly facilitate user's operation, not only flexibly and fast, but also search quality can be improved.
Description
Technical field
The present invention relates to fields of communication technology, and in particular to a kind of web data searching method, device and system.
Background technique
Search engine refers to according to certain strategy, with specific computer program and collects information from internet, right
After the information collected carries out tissue and processing, retrieval service is provided for user, the relevant information of user search is showed into use
The system at family.Wherein, search engine may include full-text index, directory index, META Search Engine, vertical search engine, set
Formula search engine, portal search engine and free lists of links etc..Since different search engines can be calculated using different search
Method, therefore, the search result that different search engines provides are also not exclusively the same, so, user is often according to different mesh
Mark selects different search engines, or using multiple search engines to obtain more more fully search results.
In the prior art, major browsers generally can all provide the function of switching search engine in search column or homepage
Can, in this way, user can select suitable search engine according to the demand of itself before a search is initiated, to scan for;
If user is dissatisfied to the search result obtained, user must return to search column or homepage, reselect search engine simultaneously
Search is initiated again.
In the research and practice process to the prior art, it was found by the inventors of the present invention that existing search plan is inadequate
Flexibly, fast, 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, but also can be with
Improve search quality.
A kind of web data searching method, comprising:
Obtain the search key about web data;
Pass through each search engine respectively according to described search keyword to scan for, obtains described search keyword each
The search result of a search engine;
Quality information of the described search keyword in the search result of each search engine, the quality information are obtained respectively
Clicking rate, score information and/or the frequency of occurrences including described search result;
It is selected in the search result of each search engine according to the quality information from described search keyword optimal
Search result, as recommendation search result;
Recommend the recommendation search result to user.
A kind of web data searcher, comprising:
Keyword acquiring unit, for obtaining the search key about web data;
Search unit is scanned for for passing through each search engine respectively according to described search keyword, is obtained described
Search result of the search key in each search engine;
Information acquisition unit, for obtaining described search keyword respectively in the quality of the search result of each search engine
Information, the quality information include the clicking rate, score information and/or the frequency of occurrences of described search result;
Selecting unit, for according to the quality information from described search keyword each search engine search result
The optimal search result of middle selection, as recommendation search result;
Recommendation unit, for recommending the recommendation search result to user.
A kind of communication system, which is characterized in that including any web data searcher provided in an embodiment of the present invention.
The embodiment of the present invention using obtain search key, according to the search key pass through respectively each search engine into
Row search, obtains the search key in the search result of each search engine, then obtains the matter of these search results respectively
Information is measured, subsequently, is selected optimal search result as recommendation search knot from these search results according to the quality information
Fruit, and recommend the recommendation search result to user;It can be automatically from the obtained search knot of multiple search engines using the program
Optimal search result is selected in fruit, and recommends user, without user's manual switching difference search engine to each
Search result corresponding to search engine is compared, and greatly facilitates user's operation, not only flexibly and fast, but also can be improved
Search quality.
Detailed description of the invention
To describe the technical solutions in the embodiments of the present invention more clearly, make required in being described below to embodiment
Attached drawing is briefly described, it should be apparent that, drawings in the following description are only some embodiments of the invention, for
For those skilled in the art, without creative efforts, it can also be obtained according to these attached drawings other attached
Figure.
Fig. 1 is the flow chart of web data searching method provided in an embodiment of the present invention;
Fig. 2 is another flow chart of web data searching method provided in an embodiment of the present invention;
Fig. 3 is the another flow chart of web data searching method provided in an embodiment of the present invention;
Fig. 4 is that the embodiment of the present invention provides the structural schematic diagram of web data searcher;
Fig. 5 is the structural schematic diagram of terminal provided in an embodiment of the present invention.
Specific embodiment
Following will be combined with the drawings in the embodiments of the present invention, and technical solution in the embodiment of the present invention carries out clear, complete
Site preparation description, it is clear that described embodiments are only a part of the embodiments of the present invention, instead of all the embodiments.It is based on
Embodiment in the present invention, those skilled in the art's every other implementation obtained without creative efforts
Example, shall fall within the protection scope of the present invention.
The embodiment of the present invention provides a kind of web data searching method, device and system.It is described in detail separately below.
Embodiment one,
The present embodiment will be described from the angle of web data searcher, which specifically can be with
It integrates in the terminal, which is specifically as follows smart phone, tablet computer, E-book reader, dynamic image expert compression
Standard audio level 3(Moving Picture Experts Group Audio Layer III, MP3) player, dynamic shadow
As expert's compression standard audio level 4(Moving Picture Experts Group Audio Layer IV, MP4) is played
Device, pocket computer on knee and desktop computer etc..
A kind of web data searching method, comprising: the search key about web data is obtained, according to search key
Word passes through each search engine respectively and scans for, and obtains the search key in the search result of each search engine, respectively
Obtain the quality information of these search results, wherein the quality information may include the clicking rate of these search results, scoring letter
Then breath and/or the frequency of occurrences select optimal search result according to these quality informations from these search results, as
Recommend search result, and recommends the recommendation search result to user.
As shown in Figure 1, detailed process is as follows:
101, the search key about web data is obtained.
For example, specifically can receive the search key about web data that user inputs in Webpage search column, than
Such as, the search keys such as " mobile phone " that user inputs in Webpage search column are received, for another example, receive user on Webpage search column
Search keys such as " resumes of Zhang San " of middle income, etc..
102, pass through each search engine respectively according to the search key to scan for, obtain the search key each
The search result of a search engine.
For example, being searched for if there is search engine 1, search engine 2, search engine 3, search engine 4 and search engine 5 etc.
Engine, then at this point it is possible to pass through search engine 1 respectively according to the search key, search engine 2, search engine 3, search for and draw
It holds up the search engines such as 4 and search engine 5 to scan for, obtains the search key in the search result of each search engine, i.e.,
The search result 1 that obtains after being scanned for using search engine 1 to the search key closes the search using search engine 2
Search result 2 that keyword obtains after scanning for, the search obtained after being scanned for using search engine 3 to the search key
As a result 3, the search result 4 that obtains after scanning for using search engine 4 to the search key and search engine 5 is utilized
Search result 5 obtained after being scanned for the search key, etc..
103, the quality information of these search results is obtained respectively, i.e., obtains the search key respectively and draw in each search
The quality information for the search result held up.
Wherein, the approach of acquisition can there are many, such as can be by obtaining various information in network side, then according to this
The information got a bit is calculated in terminal, to obtain quality information, or, it can also directly be obtained by cloud computing
Quality information, etc., that is, for example, specifically can be such that
Described search keyword is obtained respectively by cloud computing in the quality information of the search result of each search engine.
Wherein, the quality information may include clicking rate, score information and/or the frequency of occurrences of the search result etc. because
Element.
For example, still being drawn with search such as search engine 1, search engine 2, search engine 3, search engine 4 and search engines 5
For holding up, then the specific quality information of available search result 1, the quality information of search result 2, search result 3 at this time
Quality information, the quality information of search result 4 and quality information of search result 5 etc..
104, the quality information according to obtained in step 103 from these search results, (i.e. search each by the search key
Index the search result held up) the optimal search result of middle selection, as recommendation search result.
Wherein, the mode of selection can there are many, for example, can specifically be realized using following any mode:
(1) comprehensive score mode;
Comprehensive score is carried out to these quality informations according to the first preset strategy, obtains comprehensive score as a result, according to these
Comprehensive score result selects score in these search results (i.e. search result of the search key in each search engine)
Highest search result is as recommendation search result.
Wherein, which can specifically be configured according to the hobby of practical application and/or user, for example,
Can according to the factors such as clicking rate, score information and/or the frequency of occurrences in quality information proportion to these quality informations
Comprehensive score is carried out, comprehensive score result is obtained.
For example, if quality information includes three clicking rate, score information and the frequency of occurrences factors, and user setting into
When row comprehensive score, clicking rate proportion in quality information is 30%, and score information proportion in quality information is
50%, frequency of occurrences proportion in quality information is 20%, then can be respectively first to the clicking rate of each search result, scoring
Information and the frequency of occurrences score, and respectively obtain the clicking rate score, score information score and appearance frequency of each search result
Then rate score calculates comprehensive score result (i.e. comprehensive score score) according to following formula:
Comprehensive score result=+ 20% frequency of occurrences score of+50% score information score of 30% clicking rate score.
It should be noted that above only includes that three clicking rate, score information and the frequency of occurrences factors are with quality information
Example is illustrated, it should be appreciated that can not also include a kind of in clicking rate, score information and the frequency of occurrences in quality information
Or several factors, alternatively, other than above-mentioned factor, it can be with other factors, etc.;In addition, above-mentioned clicking rate, scoring letter
Breath and the frequency of occurrences ratio shared in quality information are also only merely example, it should be appreciated that the ratio can basis
The demand of practical application and/or the hobby of user are configured, and its implementation is similar, and details are not described herein.
It should be noted that the mode of last computation comprehensive score result is only a kind of realization side of the embodiment of the present invention
Formula, it should be appreciated that can also be using other calculations, details are not described herein.
(2) it sorts according to preset strategy;
These quality informations are ranked up according to the second preset strategy, ranking results is obtained, is existed according to the ranking results
The optimal search result of selection in these search results (i.e. search result of the search key in each search engine), as
Recommend search result.
Wherein, which can specifically be configured according to the hobby of practical application and/or user, for example,
It can be ranked up according to clicking rate, be arranged from high to low or from low to high according to score information from high to low or from low to high
It sequence, and/or is ranked up according to the frequency of occurrences, etc., specifically can be such that from high to low or from low to high
If A, the second preset strategy is is ranked up according to clicking rate from high to low, step is " according to the ranking results
Optimal search result is selected in these search results, as recommendation search result " it is specifically as follows:
According to the ranking results in these search results (i.e. search result of the search key in each search engine)
The most preceding search result of middle selected and sorted, as recommendation search result.
If B, the second preset strategy is is ranked up according to clicking rate from low to high, step is " according to the ranking results
Optimal search result is selected in these search results, as recommendation search result " it is specifically as follows:
According to the ranking results in these search results (i.e. search result of the search key in each search engine)
The last search result of middle selected and sorted, as recommendation search result.
If C, the second preset strategy is is ranked up according to score information from high to low, step is " according to the sequence knot
Fruit selects optimal search result in these search results, as recommendation search result " it is specifically as follows:
According to the ranking results in these search results (i.e. search result of the search key in each search engine)
The most preceding search result of middle selected and sorted, as recommendation search result.
If D, the second preset strategy is is ranked up according to score information from low to high, step is " according to the sequence knot
Fruit selects optimal search result in these search results, as recommendation search result " it is specifically as follows:
According to the ranking results in these search results (i.e. search result of the search key in each search engine)
The last search result of middle selected and sorted, as recommendation search result.
If E, the second preset strategy is is ranked up according to the frequency of occurrences from high to low, step is " according to the sequence knot
Fruit selects optimal search result in these search results, as recommendation search result " it is specifically as follows:
According to the ranking results in these search results (i.e. search result of the search key in each search engine)
The most preceding search result of middle selected and sorted, as recommendation search result.
If F, the second preset strategy is is ranked up according to the frequency of occurrences from low to high, step is " according to the sequence
As a result optimal search result is selected in these search results, as recommendation search result " it is specifically as follows:
According to the ranking results in these search results (i.e. search result of the search key in each search engine)
The last search result of middle selected and sorted, as recommendation search result.
It should be noted that above be only illustrated by taking three clicking rate, score information and the frequency of occurrences factors as an example, answer
When also may include other factors in understanding, quality information, implementation is same as described above, and details are not described herein.
105, recommend search result to obtained in user's recommendation step 104.
For example, the recommendation search result can preferentially be shown in the webpage of search result by having, also, can also prompt
User's search result preferentially shown is the search result of " recommendation ", for example, marking beside the search result preferentially shown
Know is " recommendation ", etc..
Further, it is also possible to show other search engines, and/or show the search knot that other search engines are searched
Fruit, so that user flexibility is selected and is switched.I.e. after step " recommending the recommendation search result to user ", the webpage number
Can also include: according to searching method
The link and corresponding search engine mark of other non-recommended search results are shown, so that user switches over.
For example, if the search result " search result 1 " of final choice search engine 1 is to recommend search result, it can be with
Preferentially " search result 1 " is shown in search result web page, and is identified as " recommendation ", it is then possible to behind " search result 1 "
Show other search engines, such as search engine 2, search engine 3, search engine 4 and search engine 5 etc. mark and
The link of the search result of these search engines.Wherein, according to the superiority and inferiority of the quality information of the search result of these search engines
It determines the collating sequence of its these search result, judges that the method for the superiority and inferiority of quality information and above-mentioned selection recommend search knot
The method of fruit is similar (for example can to sort according to comprehensive score result or directly be arranged according to the second preset strategy
Sequence, etc.), details are not described herein.
From the foregoing, it will be observed that the present embodiment passes through each search according to the search key using search key is obtained respectively
Engine scans for, and obtains the search key in the search result of each search engine, then obtains these search knots respectively
The quality information of fruit subsequently selects optimal search result as recommendation according to the quality information from these search results
Search result, and recommend the recommendation search result to user;It can be automatically obtained from multiple search engines using the program
Select optimal search result in search result, and recommend user, without user's manual switching difference search engine with
Search result corresponding to each search engine is compared, user's operation, not only flexibly and fast, Er Qieke are greatly facilitated
To improve search quality.
On the basis of implementing described in one, it will make further specifically in the three kinds of citings of embodiment two and embodiment below
It is bright.
Embodiment two,
In the present embodiment, it will be illustrated so that the web data searcher specifically integrates in the terminal as an example.
A kind of web data searching method, as shown in Fig. 2, detailed process can be such that
201, terminal obtains the search key about web data.
For example, specifically can receive the search key about web data that user inputs in Webpage search column, than
Such as, the search keys such as " mobile phone " that user inputs in Webpage search column are received, for another example, receive user on Webpage search column
Search keys such as " resumes of Zhang San " of middle income, etc..
202, terminal passes through each search engine according to the search key respectively and scans for, and obtains the search key
In the search result of each search engine.
For example, by search key be " mobile phone " for, 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 at this point it is possible to be drawn respectively by search engine 1, search engine 2, search
It holds up the search engines such as 3, search engine 4 and search engine 5 to scan for search key " mobile phone ", obtains the search key
" mobile phone " each search engine search result, i.e., after being scanned for the search key " mobile phone " using search engine 1
Obtained search result 1, the search result 2 obtained after being scanned for using search engine 2 to the search key " mobile phone ", benefit
The search result 3 that obtains after being scanned for search engine 3 to the search key " mobile phone " searches this using search engine 4
The search result 4 and utilize search engine 5 to the search key " mobile phone " that rope keyword " mobile phone " obtains after scanning for
Search result 5 obtained after scanning for, etc..
203, terminal obtains the quality information of these search results respectively.
Wherein, the approach of acquisition can there are many, such as can be by obtaining various information in network side, then according to this
The information got a bit is calculated in terminal, to obtain quality information, or, it can also directly be obtained by cloud computing
Quality information, etc., that is, for example, step 203 specifically can be such that
Terminal obtains described search keyword by cloud computing respectively and believes in the quality of the search result of each search engine
Breath.
Wherein, the quality information may include clicking rate, score information and/or the frequency of occurrences of the search result etc. because
Element.
For example, still being drawn with search such as search engine 1, search engine 2, search engine 3, search engine 4 and search engines 5
For holding up, then the specific quality information of available search result 1, the quality information of search result 2, search result 3 at this time
Quality information, the quality information of search result 4 and quality information of search result 5 etc..
204, terminal carries out comprehensive score to these quality informations according to the first preset strategy, obtains comprehensive score result.
Wherein, which can specifically be configured according to the hobby of practical application and/or user, for example,
Can according to the factors such as clicking rate, score information and/or the frequency of occurrences in quality information proportion to these quality informations
Comprehensive score is carried out, comprehensive score result is obtained.
For example, if quality information includes three clicking rate, score information and the frequency of occurrences factors, and user setting into
When row comprehensive score, clicking rate proportion in quality information is 30%, and score information proportion in quality information is
50%, frequency of occurrences proportion in quality information is 20%, then can be respectively first to the clicking rate of each search result, scoring
Information and the frequency of occurrences score, and respectively obtain the clicking rate score, score information score and appearance frequency of each search result
Then rate score calculates comprehensive score result (i.e. comprehensive score score) according to following formula:
Comprehensive score result=+ 20% frequency of occurrences score of+50% score information score of 30% clicking rate score.
It should be noted that above only includes that three clicking rate, score information and the frequency of occurrences factors are with quality information
Example is illustrated, it should be appreciated that can not also include a kind of in clicking rate, score information and the frequency of occurrences in quality information
Or several factors, alternatively, other than above-mentioned factor, it can be with other factors, etc.;In addition, above-mentioned clicking rate, scoring letter
Breath and the frequency of occurrences ratio shared in quality information are also only merely example, it should be appreciated that the ratio can basis
The demand of practical application and/or the hobby of user are configured, and its implementation is similar, and details are not described herein.
It should be noted that the mode of last computation comprehensive score result is only a kind of realization side of the embodiment of the present invention
Formula, it should be appreciated that can also be using other calculations, details are not described herein.
205, terminal selects the highest search result of score to make according to these comprehensive score results in these search results
To recommend search result.
For example, if calculated in step 204, the comprehensive score result highest of " search result 1 " can then incite somebody to action at this time
" search result 1 " is as recommendation search result.
206, terminal recommends search result to obtained in user's recommendation step 205.
For example, the recommendation search result can preferentially be shown in the webpage of search result by having, also, can also prompt
User's search result preferentially shown is the search result of " recommendation ", for example, marking beside the search result preferentially shown
Know is " recommendation ", etc..
Further, it is also possible to show other search engines, and/or show the search knot that other search engines are searched
Fruit, so that user flexibility is selected and is switched.Step 207 can also be performed.
207, terminal shows the link and corresponding search engine mark of other non-recommended search results, so as to user
It switches over.
For example, if the search result " search result 1 " of final choice search engine 1 is to recommend search result, it can be with
Preferentially " search result 1 " is shown in search result web page, and is identified as " recommendation ", it is then possible to behind " search result 1 "
Show other search engines, such as search engine 2, search engine 3, search engine 4 and search engine 5 etc. mark and
The link of the search result of these search engines.Wherein, according to the superiority and inferiority of the quality information of the search result of these search engines
It determines the collating sequence of its these search result, judges that the method for the superiority and inferiority of quality information and above-mentioned selection recommend search knot
The method of fruit is similar (for example can to sort according to comprehensive score result or directly be arranged according to the second preset strategy
Sequence, etc.), details are not described herein.
From the foregoing, it will be observed that the present embodiment, which is used, obtains search key by terminal, passed through respectively respectively according to the search key
A search engine scans for, and obtains the search key in the search result of each search engine, obtains these search respectively
As a result quality information carries out comprehensive score to these quality informations according to the first preset strategy, obtains comprehensive score as a result, so
Afterwards according to these comprehensive score results selected in these search results the highest search result of score as recommend search result,
And recommend the recommendation search result to user;It can be automatically from the obtained search result of multiple search engines using the program
Optimal search result is selected, and recommends user, without user's manual switching difference search engine to each search
Search result corresponding to engine is compared, and greatly facilitates user's operation, not only flexibly and fast, but also search can be improved
Quality.
Embodiment three,
It is identical with embodiment two to be, in the present embodiment, end is equally integrated in specifically with the web data searcher
It is illustrated in end, unlike embodiment two, is implementing in two, the main quality by calculating each search result
The comprehensive score of information will use another side as a result, therefrom to select optimal search result, and in the present embodiment
Formula, i.e., by being directly ranked up to these quality informations, therefrom to select to be illustrated for optimal search result, below
It will be described in more detail.
A kind of web data searching method, as shown in figure 3, detailed process can be such that
301, terminal obtains the search key about web data.
For example, specifically can receive the search key about web data that user inputs in Webpage search column, than
Such as, the search keys such as " mobile phone " that user inputs in Webpage search column are received, for another example, receive user on Webpage search column
Search keys such as " resumes of Zhang San " of middle income, etc..
302, terminal passes through each search engine according to the search key respectively and scans for, and obtains the search key
In the search result of each search engine.
For example, by search key be " mobile phone " for, 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 at this point it is possible to be drawn respectively by search engine 1, search engine 2, search
It holds up the search engines such as 3, search engine 4 and search engine 5 to scan for search key " mobile phone ", obtains the search key
" mobile phone " each search engine search result, i.e., after being scanned for the search key " mobile phone " using search engine 1
Obtained search result 1, the search result 2 obtained after being scanned for using search engine 2 to the search key " mobile phone ", benefit
The search result 3 that obtains after being scanned for search engine 3 to the search key " mobile phone " searches this using search engine 4
The search result 4 and utilize search engine 5 to the search key " mobile phone " that rope keyword " mobile phone " obtains after scanning for
Search result 5 obtained after scanning for, etc..
303, terminal obtains the quality information of these search results respectively.
Wherein, the approach of acquisition can there are many, such as can be by obtaining various information in network side, then according to this
The information got a bit is calculated in terminal, to obtain quality information, or, it can also directly be obtained by cloud computing
Quality information, etc., that is, for example, step 203 specifically can be such that
Terminal obtains described search keyword by cloud computing respectively and believes in the quality of the search result of each search engine
Breath.
Wherein, the quality information may include clicking rate, score information and/or the frequency of occurrences of the search result etc. because
Element.
For example, still being drawn with search such as search engine 1, search engine 2, search engine 3, search engine 4 and search engines 5
For holding up, then the specific quality information of available search result 1, the quality information of search result 2, search result 3 at this time
Quality information, the quality information of search result 4 and quality information of search result 5 etc..
304, terminal is ranked up these quality informations according to the second preset strategy, obtains ranking results.
Wherein, which can specifically be configured according to the hobby of practical application and/or user, for example,
It specifically can be by following in a manner of any one or a few:
A, it is ranked up from high to low according to clicking rate.
B, it is ranked up from low to high according to clicking rate.
C, it is ranked up from high to low according to score information.
D, it is ranked up from low to high according to score information.
E, it is ranked up from high to low according to the frequency of occurrences.
F, it is ranked up from low to high according to the frequency of occurrences.
It should be noted that above be only illustrated by taking three clicking rate, score information and the frequency of occurrences factors as an example, answer
When also may include other factors in understanding, quality information, implementation is same as described above, and details are not described herein.
305, terminal selects optimal search result according to the ranking results in these search results, searches for as recommendation
As a result.Such as it specifically can be such that
If A, the second preset strategy is is ranked up according to clicking rate from high to low, " terminal is according to the sequence for step
As a result optimal search result is selected in these search results, as recommend search result (i.e. step 305) " specifically can be with
Are as follows:
Terminal most preceding search result of selected and sorted in these search results according to the ranking results is searched for as recommendation
As a result.
If B, the second preset strategy is is ranked up according to clicking rate from low to high, " terminal is according to the sequence for step
As a result optimal search result is selected in these search results, as recommend search result (i.e. step 305) " specifically can be with
Are as follows:
Terminal last search result of selected and sorted in these search results according to the ranking results is searched for as recommendation
As a result.
If C, the second preset strategy is is ranked up according to score information from high to low, " terminal is according to the row for step
Sequence result selects optimal search result in these search results, as recommend search result (i.e. step 305) " specifically can be with
Are as follows:
Terminal most preceding search result of selected and sorted in these search results according to the ranking results is searched for as recommendation
As a result.
If D, the second preset strategy is is ranked up according to score information from low to high, " terminal is according to the row for step
Sequence result selects optimal search result in these search results, as recommend search result (i.e. step 305) " specifically can be with
Are as follows:
Terminal last search result of selected and sorted in these search results according to the ranking results is searched for as recommendation
As a result.
If E, the second preset strategy is is ranked up according to the frequency of occurrences from high to low, " terminal is according to the row for step
Sequence result selects optimal search result in these search results, as recommend search result (i.e. step 305) " specifically can be with
Are as follows:
Terminal most preceding search result of selected and sorted in these search results according to the ranking results is searched for as recommendation
As a result.
If F, the second preset strategy is is ranked up according to the frequency of occurrences from low to high, " terminal is according to for step
Ranking results select optimal search result in these search results, as recommend search result (i.e. step 305) " specifically may be used
With are as follows:
Terminal last search result of selected and sorted in these search results according to the ranking results is searched for as recommendation
As a result.
It should be noted that above be only illustrated by taking three clicking rate, score information and the frequency of occurrences factors as an example, answer
When also may include other factors in understanding, quality information, implementation is same as described above, and details are not described herein.
306, terminal recommends search result to obtained in user's recommendation step 305.
For example, the recommendation search result can preferentially be shown in the webpage of search result by having, also, can also prompt
User's search result preferentially shown is the search result of " recommendation ", for example, marking beside the search result preferentially shown
Know is " recommendation ", etc..
Further, it is also possible to show other search engines, and/or show the search knot that other search engines are searched
Fruit, so that user flexibility is selected and is switched.Step 307 can also be performed.
307, terminal shows the link and corresponding search engine mark of other non-recommended search results, so as to user
It switches over.
For example, if the search result " search result 1 " of final choice search engine 1 is to recommend search result, it can be with
Preferentially " search result 1 " is shown in search result web page, and is identified as " recommendation ", it is then possible to behind " search result 1 "
Show other search engines, such as search engine 2, search engine 3, search engine 4 and search engine 5 etc. mark and
The link of the search result of these search engines.Wherein, according to the superiority and inferiority of the quality information of the search result of these search engines
It determines the collating sequence of its these search result, judges that the method for the superiority and inferiority of quality information and above-mentioned selection recommend search knot
The method of fruit is similar (for example can to sort according to comprehensive score result or directly be arranged according to the second preset strategy
Sequence, etc.), details are not described herein.
From the foregoing, it will be observed that the present embodiment, which is used, obtains search key by terminal, passed through respectively respectively according to the search key
A search engine scans for, and obtains the search key in the search result of each search engine, obtains these search respectively
As a result quality information is ranked up these quality informations according to the second preset strategy, then according to ranking results at these
It selects optimal search result as recommendation search result in search result, and recommends the recommendation search result to user;Using
The program can select optimal search result from the obtained search result of multiple search engines automatically, and recommend use
Family, without user's manual switching difference search engine to be compared to search result corresponding to each search engine, greatly
It is convenient for users to operate greatly, not only flexibly and fast, but also search quality can be improved.
Example IV,
In order to better implement above method, the embodiment of the present invention also provides a kind of web data searcher, such as Fig. 4 institute
It states, which includes keyword acquiring unit 401, search unit 402, information acquisition unit 403, selection list
Member 404 and recommendation unit 405.
Keyword acquiring unit 401, for obtaining the search key about web data.
For example, specifically can receive the search key about web data that user inputs in Webpage search column, than
Such as, the search keys such as " mobile phone " that user inputs in Webpage search column are received, for another example, receive user on Webpage search column
Search keys such as " resumes of Zhang San " of middle income, etc..
Search unit 402 is scanned for for passing through each search engine respectively according to the search key, is obtained described
Search result of the search key in each search engine.
For example, being searched for if there is search engine 1, search engine 2, search engine 3, search engine 4 and search engine 5 etc.
Engine, then at this point it is possible to pass through search engine 1 respectively according to the search key, search engine 2, search engine 3, search for and draw
It holds up the search engines such as 4 and search engine 5 to scan for, obtains the search key in the search result of each search engine, i.e.,
The search result 1 that obtains after being scanned for using search engine 1 to the search key closes the search using search engine 2
Search result 2 that keyword obtains after scanning for, the search obtained after being scanned for using search engine 3 to the search key
As a result 3, the search result 4 that obtains after scanning for using search engine 4 to the search key and search engine 5 is utilized
Search result 5 obtained after being scanned for the search key, etc..
Information acquisition unit 403, for obtaining the search key respectively in the matter of the search result of each search engine
Measure information.
For example, information acquisition unit 403, specifically can be used for obtaining described search keyword respectively by cloud computing each
The quality information of the search result of a search engine.
Wherein, the quality information may include clicking rate, score information and/or the frequency of occurrences of the search result etc. because
Element.
For example, still being drawn with search such as search engine 1, search engine 2, search engine 3, search engine 4 and search engines 5
For holding up, then information acquisition unit 403 specifically can be used for obtaining the quality information of search result 1, the matter of search result 2 at this time
Measure information, the quality information of search result 3, the quality information of search result 4 and quality information of search result 5 etc..
Selecting unit 404, for according to these quality informations from described search keyword each search engine search
As a result the optimal search result of selection in, as recommendation search result.
Recommendation unit 405, the recommendation search result for recommending selecting unit 404 to select to user.
For example, the recommendation search result can preferentially be shown in the webpage of search result by having, also, can also prompt
User's search result preferentially shown is the search result of " recommendation ", for example, marking beside the search result preferentially shown
Know is " recommendation ", etc..
Wherein, selection recommend search result mode can there are many, for example, specifically can be using following any mode
To realize:
(1) comprehensive score mode;
Selecting unit 404 may include scoring subelement and selection subelement, specifically can be such that
Score subelement, for carrying out comprehensive score to the quality information according to the first preset strategy, obtains synthesis and comments
Divide result;
First choice subelement, the comprehensive score result for being obtained according to scoring subelement exist in described search keyword
Select the highest search result of score as recommendation search result in the search result of each search engine.
Wherein, which can specifically be configured according to the hobby of practical application and/or user, for example,
Score subelement specifically can according to factors such as clicking rate, score information and/or the frequencies of occurrences in quality information proportion
Comprehensive score is carried out to these quality informations, obtains comprehensive score result.
For example, if quality information includes three clicking rate, score information and the frequency of occurrences factors, and user setting into
When row comprehensive score, clicking rate proportion in quality information is 30%, and score information proportion in quality information is
50%, frequency of occurrences proportion in quality information is 20%, then can be respectively first to the clicking rate of each search result, scoring
Information and the frequency of occurrences score, and respectively obtain the clicking rate score, score information score and appearance frequency of each search result
Then rate score calculates comprehensive score result (i.e. comprehensive score score) according to following formula:
Comprehensive score result=+ 20% frequency of occurrences score of+50% score information score of 30% clicking rate score.
It should be noted that above only includes that three clicking rate, score information and the frequency of occurrences factors are with quality information
Example is illustrated, it should be appreciated that can not also include a kind of in clicking rate, score information and the frequency of occurrences in quality information
Or several factors, alternatively, other than above-mentioned factor, it can be with other factors, etc.;In addition, above-mentioned clicking rate, scoring letter
Breath and the frequency of occurrences ratio shared in quality information are also only merely example, it should be appreciated that the ratio can basis
The demand of practical application and/or the hobby of user are configured, and its implementation is similar, and details are not described herein.
It should be noted that the mode of last computation comprehensive score result is only a kind of realization side of the embodiment of the present invention
Formula, it should be appreciated that can also be using other calculations, details are not described herein.
(2) it sorts according to preset strategy;
Selecting unit may include sorting subunit and the second selection subelement, specifically can be such that
Sorting subunit obtains ranking results for being ranked up according to the second preset strategy to these quality informations;
Second selection subelement, for being drawn in described search keyword in each search according to sorting subunit ranking results
Optimal search result is selected in the search result held up, as recommendation search result.
Wherein, which can specifically be configured according to the hobby of practical application and/or user, for example,
It can be ranked up according to clicking rate, be arranged from high to low or from low to high according to score information from high to low or from low to high
It sequence, and/or is ranked up from high to low or from low to high according to the frequency of occurrences, etc., i.e., the second selection subelement, it specifically can be with
For:
If the second preset strategy is is ranked up according to clicking rate from high to low, according to the ranking results in the search
Keyword most preceding search result of selected and sorted in the search result of each search engine, as recommendation search result;With/
Or,
If the second preset strategy is is ranked up according to clicking rate from low to high, according to the ranking results in the search
Keyword last search result of selected and sorted in the search result of each search engine, as recommendation search result;With/
Or,
If the second preset strategy is searched to be ranked up from high to low according to score information, according to the ranking results at this
Rope keyword most preceding search result of selected and sorted in the search result of each search engine, as recommendation search result;With/
Or,
If the second preset strategy is is ranked up according to score information from low to high, according to the ranking results described
Search key last search result of selected and sorted in the search result of each search engine, as recommendation search result;
And/or
If the second preset strategy is is ranked up according to the frequency of occurrences from high to low, according to the ranking results described
Search key most preceding search result of selected and sorted in the search result of each search engine, as recommendation search result;
And/or
If the second preset strategy is is ranked up according to the frequency of occurrences from low to high, according to the ranking results described
Search key last search result of selected and sorted in the search result of each search engine, as recommendation search result.
It should be noted that above be only illustrated by taking three clicking rate, score information and the frequency of occurrences factors as an example, answer
When also may include other factors in understanding, quality information, implementation is same as described above, and details are not described herein.
In addition, can also show other search other than it can recommend search result to user from recommendation unit 405
Engine, and/or show the search result that other search engines are searched, so that user flexibility is selected and is switched.I.e. should
Web data searcher can also include display unit;
Display unit, for showing the link and corresponding search engine mark of other non-recommended search results, so as to
User switches over.
For example, if the search result " search result 1 " of final choice search engine 1 is to recommend search result, it can be with
Preferentially " search result 1 " is shown in search result web page, and is identified as " recommendation ", it is then possible to behind " search result 1 "
Show other search engines, such as search engine 2, search engine 3, search engine 4 and search engine 5 etc. mark and
The link of the search result of these search engines.Wherein, according to the superiority and inferiority of the quality information of the search result of these search engines
It determines the collating sequence of its these search result, judges that the method for the superiority and inferiority of quality information and above-mentioned selection recommend search knot
The method of fruit is similar (for example can to sort according to comprehensive score result or directly be arranged according to the second preset strategy
Sequence, etc.), details are not described herein.
When specific implementation, above each unit can be used as independent entity to realize, can also carry out any combination, make
It is realized for same or several entities, the specific implementation of above each unit may refer to the embodiment of the method for front, herein
It repeats no more.
The web data searcher specifically can integrate in the terminal, which is specifically as follows smart phone, plate
Computer, E-book reader, MP3 player, MP4 player, pocket computer on knee and desktop computer etc..
From the foregoing, it will be observed that the available search of keyword acquiring unit 401 of the web data searcher of the present embodiment is closed
Then keyword passes through each search engine according to the search key by search unit 402 respectively and scans for, obtains the search
Then keyword is obtained the matter of these search results in the search result of each search engine respectively by information acquisition unit 403
Amount information subsequently selects optimal search result to make according to the quality information by selecting unit 404 from these search results
To recommend search result, and recommend the recommendation search result from recommendation unit 405 to user;It can be automatically from more using the program
Optimal search result is selected in a obtained search result of search engine, and recommends user, it is manual without user
Switch different search engines to be compared to search result corresponding to each search engine, greatly facilitate user's operation,
Not only flexibly and fast, but also search quality can be improved.
Embodiment five,
Correspondingly, the embodiment of the present invention also provides a kind of communication system, including any net provided in an embodiment of the present invention
Page data searcher, the web data searcher can be found in example IV, for example, with the web data searcher
It is specifically integrated in for terminal, can be such that
Terminal passes through respectively specifically for obtaining the search key about web data according to the search key respectively
A search engine scans for, and obtains the search key in the search result of each search engine, obtains these search respectively
As a result then quality information selects optimal search result according to these quality informations from these search results, as pushing away
Search result is recommended, and recommends the recommendation search result to user.
Wherein, the quality information may include clicking rate, score information and/or the frequency of occurrences of these search results etc. because
Element.
Wherein, terminal specifically can be used for obtaining the search key respectively by cloud computing in each search engine
The quality information of search result.
Optionally, selected in these search results optimal search result mode can there are many, for example, specifically may be used
With as follows:
Terminal specifically can be used for carrying out comprehensive score to these quality informations according to the first preset strategy, be integrated
Appraisal result selects the highest search result of score to search as recommendation according to these comprehensive score results in these search results
Hitch fruit.
Wherein, which can specifically be configured according to the hobby of practical application and/or user, for example,
Can according to the factors such as clicking rate, score information and/or the frequency of occurrences in quality information proportion to these quality informations
Comprehensive score is carried out, comprehensive score result is obtained.
Alternatively, terminal specifically can be used for being ranked up these quality informations according to the second preset strategy, sorted
As a result, the choosing in these search results (i.e. search result of the search key in each search engine) according to the ranking results
Optimal search result is selected, as recommendation search result.
Wherein, which can specifically be configured according to the hobby of practical application and/or user, for example,
It can be ranked up according to clicking rate, be arranged from high to low or from low to high according to score information from high to low or from low to high
It sequence, and/or is ranked up from high to low or from low to high according to the frequency of occurrences, etc., for details, reference can be made to the embodiment of front,
This is repeated no more.
In addition, the communication system can also include the other equipment such as server, such as web page server;
Server gives the terminal for providing search result, and details are not described herein.
The specific implementation of above each equipment can be found in the embodiment of front, and details are not described herein.
It, can be real since the communication system includes any web data searcher provided in an embodiment of the present invention
Now beneficial effect same as web data searcher, detailed in Example four, details are not described herein.
Embodiment six,
Correspondingly, the embodiment of the present invention also provides a kind of terminal, it is integrated with web data provided in an embodiment of the present invention and searches
Rope device, as shown in figure 5, the terminal may include radio frequency (RF, Radio Frequency) circuit 501, include one or one
Memory 502, input unit 503, display unit 504, the sensor 505, audio-frequency electric of a above computer readable storage medium
Road 506, includes one or more than one processing core at Wireless Fidelity (WiFi, Wireless Fidelity) module 507
Processor 508 and the components such as power supply 509.It will be understood by those skilled in the art that terminal structure shown in Fig. 5 is not
The restriction of structure paired terminal may include perhaps combining certain components or different portions than illustrating more or fewer components
Part arrangement.Wherein:
RF circuit 501 can be used for receiving and sending messages or communication process in, signal sends and receivees, particularly, by base station
After downlink information receives, one or the processing of more than one processor 508 are transferred to;In addition, the data for being related to uplink are sent to
Base station.In general, RF circuit 501 includes but is not limited to antenna, at least one amplifier, tuner, one or more oscillators, uses
Family identity module (SIM, Subscriber Identity Module) card, transceiver, coupler, low-noise amplifier
(LNA, Low Noise Amplifier), duplexer etc..In addition, RF circuit 501 can also by wireless communication with network and its
He communicates equipment.Any communication standard or agreement, including but not limited to global system for mobile telecommunications system can be used in the wireless communication
Unite (GSM, Global System of Mobile communication), general packet radio service (GPRS, General
Packet Radio Service), CDMA (CDMA, Code Division Multiple Access), wideband code division it is more
Location (WCDMA, Wideband Code Division Multiple Access), long term evolution (LTE, Long Term
Evolution), Email, short message service (SMS, Short Messaging Service) etc..
Memory 502 can be used for storing software program and module, and processor 508 is stored in memory 502 by operation
Software program and module, thereby executing various function application and data processing.Memory 502 can mainly include storage journey
Sequence area and storage data area, wherein storing program area can the (ratio of application program needed for storage program area, at least one function
Such as sound-playing function, image player function) etc.;Storage data area, which can be stored, uses created data according to terminal
(such as audio data, phone directory etc.) etc..In addition, memory 502 may include high-speed random access memory, can also include
Nonvolatile memory, for example, at least a disk memory, flush memory device or other volatile solid-state parts.Phase
Ying Di, memory 502 can also include Memory Controller, to provide processor 508 and input unit 503 to memory 502
Access.
Input unit 503 can be used for receiving the number or character information of input, and generate and user setting and function
Control related keyboard, mouse, operating stick, optics or trackball signal input.Specifically, in a specific embodiment
In, input unit 503 may include touch sensitive surface and other input equipments.Touch sensitive surface, also referred to as touch display screen or touching
Control plate, collect user on it or nearby touch operation (such as user using any suitable object such as finger, stylus or
Operation of the attachment on touch sensitive surface or near touch sensitive surface), and corresponding connection dress is driven according to preset formula
It sets.Optionally, touch sensitive surface may include both touch detecting apparatus and touch controller.Wherein, touch detecting apparatus is examined
The touch orientation of user is surveyed, and detects touch operation bring signal, transmits a signal to touch controller;Touch controller from
Touch information is received on touch detecting apparatus, and is converted into contact coordinate, then gives processor 508, and can reception processing
Order that device 508 is sent simultaneously is executed.Furthermore, it is possible to a variety of using resistance-type, condenser type, infrared ray and surface acoustic wave etc.
Type realizes touch sensitive surface.In addition to touch sensitive surface, input unit 503 can also include other input equipments.Specifically, other are defeated
Entering equipment can include but is not limited to physical keyboard, function key (such as volume control button, switch key etc.), trace ball, mouse
One of mark, operating stick etc. are a variety of.
Display unit 504 can be used for showing information input by user or be supplied to user information and terminal it is various
Graphical user interface, these graphical user interface can be made of figure, text, icon, video and any combination thereof.Display
Unit 504 may include display panel, optionally, can using liquid crystal display (LCD, Liquid Crystal Display),
The forms such as Organic Light Emitting Diode (OLED, Organic Light-Emitting Diode) configure display panel.Further
, touch sensitive surface can cover display panel, after touch sensitive surface detects touch operation on it or nearby, send processing to
Device 508 is followed by subsequent processing device 508 and is provided on a display panel accordingly according to the type of touch event to determine the type of touch event
Visual output.Although touch sensitive surface and display panel are to realize input and input as two independent components in Fig. 5
Function, but in some embodiments it is possible to touch sensitive surface and display panel are integrated and realizes and outputs and inputs function.
Terminal may also include at least one sensor 505, such as optical sensor, motion sensor and other sensors.
Specifically, optical sensor may include ambient light sensor and proximity sensor, wherein ambient light sensor can be according to ambient light
Light and shade adjust the brightness of display panel, proximity sensor can close display panel and/or back when terminal is moved in one's ear
Light.As a kind of motion sensor, gravity accelerometer can detect (generally three axis) acceleration in all directions
Size can detect that size and the direction of gravity when static, can be used to identify mobile phone posture application (such as horizontal/vertical screen switching,
Dependent game, magnetometer pose calibrating), Vibration identification correlation function (such as pedometer, tap) etc.;It can also configure as terminal
The other sensors such as gyroscope, barometer, hygrometer, thermometer, infrared sensor, details are not described herein.
Voicefrequency circuit 506, loudspeaker, microphone can provide the audio interface between user and terminal.Voicefrequency circuit 506 can
By the electric signal after the audio data received conversion, it is transferred to loudspeaker, voice signal output is converted to by loudspeaker;It is another
The voice signal of collection is converted to electric signal by aspect, microphone, is converted to audio data after being received by voicefrequency circuit 506, then
After the processing of audio data output processor 508, it is sent to such as another terminal through RF circuit 501, or by audio data
Output is further processed to memory 502.Voicefrequency circuit 506 is also possible that earphone jack, with provide peripheral hardware earphone with
The communication of terminal.
WiFi belongs to short range wireless transmission technology, and terminal can help user's transceiver electronics postal by WiFi module 507
Part, browsing webpage and access streaming video etc., it provides wireless broadband internet access for user.Although Fig. 5 is shown
WiFi module 507, but it is understood that, and it is not belonging to must be configured into for terminal, it can according to need do not changing completely
Become in the range of the essence of invention and omits.
Processor 508 is the control centre of terminal, using the various pieces of various interfaces and connection whole mobile phone, is led to
It crosses operation or executes the software program and/or module being stored in memory 502, and call and be stored in memory 502
Data execute the various functions and processing data of terminal, to carry out integral monitoring to mobile phone.Optionally, processor 508 can wrap
Include one or more processing cores;Preferably, processor 508 can integrate application processor and modem processor, wherein answer
With the main processing operation system of processor, user interface and application program etc., modem processor mainly handles wireless communication.
It is understood that above-mentioned modem processor can not also be integrated into processor 508.
Terminal further includes the power supply 509(such as battery powered to all parts), it is preferred that power supply can pass through power supply pipe
Reason system and processor 508 are logically contiguous, to realize management charging, electric discharge and power managed by power-supply management system
Etc. functions.Power supply 509 can also include one or more direct current or AC power source, recharging system, power failure inspection
The random components such as slowdown monitoring circuit, power adapter or inverter, power supply status indicator.
Although being not shown, terminal can also include camera, bluetooth module etc., and details are not described herein.Specifically in this implementation
In example, the processor 508 in terminal can be corresponding by the process of one or more application program according to following instruction
Executable file is loaded into memory 502, and the application program being stored in memory 502 is run by processor 508, from
And realize various functions:
Although being not shown, terminal can also include camera, bluetooth module etc., and details are not described herein.Specifically in this implementation
In example, the display unit of terminal is touch-screen display, and terminal further includes having memory and one or more than one journey
Sequence, perhaps more than one program is stored in memory and is configured to by one or more than one processor for one of them
Execution states one or more than one program includes the instruction for performing the following operation:
The search key about web data is obtained, each search engine is passed through according to the search key respectively and is carried out
Search, obtains the search key in the search result of each search engine, obtains the quality information of these search results respectively,
Optimal search result is selected from these search results according to these quality informations, as recommending search result, and to user
Recommend the recommendation search result.
Wherein, the quality information may include clicking rate, score information and/or the frequency of occurrences of the search result etc. because
Element.
Wherein, described search keyword can specifically be obtained respectively by cloud computing in the search result of each search engine
Quality information.And select to recommend search result mode can also there are many, for example, specifically can be using following any side
Formula is realized:
(1) comprehensive score mode;
Comprehensive score is carried out to these quality informations according to the first preset strategy, obtains comprehensive score as a result, according to these
Comprehensive score result selects the highest search result of score as recommendation search result in these search results.
Wherein, which can specifically be configured according to the hobby of practical application and/or user, for example,
Can according to the factors such as clicking rate, score information and/or the frequency of occurrences in quality information proportion to these quality informations
Comprehensive score is carried out, comprehensive score result is obtained.
(2) it sorts according to preset strategy;
These quality informations are ranked up according to the second preset strategy, ranking results is obtained, is existed according to the ranking results
Optimal search result is selected in these search results, as recommendation search result.
Wherein, which can specifically be configured according to the hobby of practical application and/or user, for example,
It can be ranked up according to clicking rate, be arranged from high to low or from low to high according to score information from high to low or from low to high
It sequence, and/or is ranked up according to the frequency of occurrences, etc., specifically can be such that from high to low or from low to high
If A, the second preset strategy is is ranked up according to clicking rate from high to low, step is " according to the ranking results
Optimal search result is selected in these search results, as recommendation search result " it is specifically as follows:
According to the ranking results in these search results (i.e. search result of the search key in each search engine)
The most preceding search result of middle selected and sorted, as recommendation search result.
If B, the second preset strategy is is ranked up according to clicking rate from low to high, step is " according to the ranking results
Optimal search result is selected in these search results, as recommendation search result " it is specifically as follows:
According to the ranking results in these search results (i.e. search result of the search key in each search engine)
The last search result of middle selected and sorted, as recommendation search result.
If C, the second preset strategy is is ranked up according to score information from high to low, step is " according to the sequence knot
Fruit selects optimal search result in these search results, as recommendation search result " it is specifically as follows:
According to the ranking results in these search results (i.e. search result of the search key in each search engine)
The most preceding search result of middle selected and sorted, as recommendation search result.
If D, the second preset strategy is is ranked up according to score information from low to high, step is " according to the sequence knot
Fruit selects optimal search result in these search results, as recommendation search result " it is specifically as follows:
According to the ranking results in these search results (i.e. search result of the search key in each search engine)
The last search result of middle selected and sorted, as recommendation search result.
If E, the second preset strategy is is ranked up according to the frequency of occurrences from high to low, step is " according to the sequence knot
Fruit selects optimal search result in these search results, as recommendation search result " it is specifically as follows:
According to the ranking results in these search results (i.e. search result of the search key in each search engine)
The most preceding search result of middle selected and sorted, as recommendation search result.
If F, the second preset strategy is is ranked up according to the frequency of occurrences from low to high, step is " according to the sequence
As a result optimal search result is selected in these search results, as recommendation search result " it is specifically as follows:
According to the ranking results in these search results (i.e. search result of the search key in each search engine)
The last search result of middle selected and sorted, as recommendation search result.
It should be noted that above be only illustrated by taking three clicking rate, score information and the frequency of occurrences factors as an example, answer
When also may include other factors in understanding, quality information, implementation is same as described above, and details are not described herein.
In addition, it is optional, other than it can recommend the recommendation search result of selection to user, it can also show others
Search engine, and/or show the search result that other search engines are searched, so that user flexibility is selected and is switched.
I.e. after step " recommending the recommendation search result to user ", which can also include:
The link and corresponding search engine mark of other non-recommended search results are shown, so that user switches over.
The specific implementation of above each function can be found in the embodiment of front, and details are not described herein.
From the foregoing, it will be observed that the terminal of the present embodiment is passed through respectively using search key is obtained according to the search key respectively
A search engine scans for, and obtains the search key in the search result of each search engine, then obtains these respectively
The quality information of search result subsequently selects optimal search result to make according to the quality information from these search results
To recommend search result, and recommend the recommendation search result to user;It can be automatically from multiple search engine institutes using the program
Optimal search result is selected in obtained search result, and recommends user, is searched for without user's manual switching difference
Engine greatly facilitates user's operation to be compared to search result corresponding to each search engine, not only flexibly and fast,
And search quality can be improved.
Those of ordinary skill in the art will appreciate that all or part of the steps in the various methods of above-described embodiment is can
It is completed with instructing relevant hardware by program, which can be stored in a computer readable storage medium, storage
Medium may include: read-only memory (ROM, Read Only Memory), random access memory (RAM, Random
Access Memory), disk or CD etc..
It is provided for the embodiments of the invention a kind of web data searching method above, device and system have carried out detailed Jie
It continues, used herein a specific example illustrates the principle and implementation of the invention, and the explanation of above embodiments is only
It is to be used to help understand method and its core concept of the invention;Meanwhile for those skilled in the art, according to the present invention
Thought, there will be changes in the specific implementation manner and application range, in conclusion the content of the present specification should not be construed as
Limitation of the present invention.
Claims (13)
1. a kind of web data searching method characterized by comprising
Obtain the search key about web data;
Pass through each search engine respectively according to described search keyword to scan for, obtains described search keyword and searched each
Index the search result held up;
Described search keyword is obtained respectively in the quality information of the search result of each search engine, and the quality information includes
Clicking rate, score information and/or the frequency of occurrences of described search result;
Optimal search is selected in the search result of each search engine from described search keyword according to the quality information
As a result, as search result is recommended;
Recommend the recommendation search result to user, comprising: the recommendation search knot is preferentially shown in the webpage of search result
Fruit, and prompting user's search result preferentially shown is the search result recommended;
Shown in the webpage of described search result other non-recommended search results link and corresponding search engine mark
Know, so that user switches over.
2. the method according to claim 1, wherein it is described according to the quality information from described search keyword
Optimal search result is selected in the search result of each search engine, as recommendation search result, comprising:
Comprehensive score is carried out to the quality information according to the first preset strategy, obtains comprehensive score result;
Score is selected most in the search result of each search engine in described search keyword according to the comprehensive score result
High search result is as recommendation search result.
3. according to the method described in claim 2, it is characterized in that, it is described according to first it is preset strategy to the quality information into
Row comprehensive score obtains comprehensive score result, comprising:
According to clicking rate, score information and/or the frequency of occurrences, proportion is comprehensive to quality information progress in quality information
Scoring is closed, comprehensive score result is obtained.
4. the method according to claim 1, wherein it is described according to the quality information from described search keyword
Optimal search result is selected in the search result of each search engine, as recommendation search result, comprising:
The quality information is ranked up according to the second preset strategy, obtains ranking results;
Optimal search is selected in the search result of each search engine in described search keyword according to the ranking results
As a result, as search result is recommended.
5. according to the method described in claim 4, it is characterized in that,
If the second preset strategy to be ranked up from high to low according to clicking rate, it is described according to the ranking results in institute
It states search key and selects optimal search result in the search result of each search engine, as search result is recommended, have
Body are as follows: the selected and sorted in the search result of each search engine is most preceding in described search keyword according to the ranking results
Search result, as recommendation search result;And/or
If the second preset strategy to be ranked up from low to high according to clicking rate, it is described according to the ranking results in institute
It states search key and selects optimal search result in the search result of each search engine, as search result is recommended, have
Body are as follows: the selected and sorted in the search result of each search engine is last in described search keyword according to the ranking results
Search result, as recommendation search result;And/or
If the second preset strategy is is ranked up according to score information from high to low, described to be existed according to the ranking results
Described search keyword selects optimal search result in the search result of each search engine, as recommend search result,
Specifically: according to the ranking results described search keyword in the search result of each search engine selected and sorted most before
Search result, as recommend search result;And/or
If the second preset strategy is is ranked up according to score information from low to high, described to be existed according to the ranking results
Described search keyword selects optimal search result in the search result of each search engine, as recommend search result,
Specifically: according to the ranking results, in described search keyword, the selected and sorted in the search result of each search engine is last
Search result, as recommend search result;And/or
If the second preset strategy is is ranked up according to the frequency of occurrences from high to low, described to be existed according to the ranking results
Described search keyword selects optimal search result in the search result of each search engine, as recommend search result,
Specifically: according to the ranking results described search keyword in the search result of each search engine selected and sorted most before
Search result, as recommend search result;And/or
If the second preset strategy is is ranked up according to the frequency of occurrences from low to high, described to be existed according to the ranking results
Described search keyword selects optimal search result in the search result of each search engine, as recommend search result,
Specifically: according to the ranking results, in described search keyword, the selected and sorted in the search result of each search engine is last
Search result, as recommend search result.
6. method according to any one of claims 1 to 5, which is characterized in that described to obtain described search keyword respectively
In the quality information of the search result of each search engine, comprising:
Described search keyword is obtained respectively by cloud computing in the quality information of the search result of each search engine.
7. a kind of web data searcher characterized by comprising
Keyword acquiring unit, for obtaining the search key about web data;
Search unit scans for for passing through each search engine respectively according to described search keyword, obtains described search
Search result of the keyword in each search engine;
Information acquisition unit is believed for obtaining described search keyword respectively in the quality of the search result of each search engine
Breath, the quality information includes the clicking rate, score information and/or the frequency of occurrences of described search result;
Selecting unit, for being selected in the search result of each search engine according to the quality information from described search keyword
Optimal search result is selected, as recommendation search result;
Recommendation unit, for recommending the recommendation search result to user, comprising: preferentially show institute in the webpage of search result
Recommendation search result is stated, and prompting user's search result preferentially shown is the search result recommended;
Display unit, for showing the link and corresponding search engine mark of other non-recommended search results, so as to user
It switches over.
8. web data searcher according to claim 7, which is characterized in that the selecting unit includes that scoring is single
Member and selection subelement;
Score subelement, for carrying out comprehensive score to the quality information according to the first preset strategy, obtains comprehensive score knot
Fruit;
First choice subelement, for according to the comprehensive score result in described search keyword searching in each search engine
Select the highest search result of score as recommendation search result in hitch fruit.
9. web data searcher according to claim 8, which is characterized in that
The scoring subelement, be specifically used for according to clicking rate, score information and/or the frequency of occurrences in quality information institute's accounting
Example carries out comprehensive score to the quality information, obtains comprehensive score result.
10. web data searcher according to claim 7, which is characterized in that the selecting unit includes sequence
Unit and the second selection subelement;
Sorting subunit obtains ranking results for being ranked up according to the second preset strategy to the quality information;
Second selection subelement, for according to the ranking results described search keyword each search engine search knot
Optimal search result is selected in fruit, as recommendation search result.
11. web data searcher according to claim 10, which is characterized in that the second selection subelement, tool
Body is used for:
If the second preset strategy is searched according to the ranking results described to be ranked up from high to low according to clicking rate
Rope keyword most preceding search result of selected and sorted in the search result of each search engine, as recommendation search result;With/
Or,
If the second preset strategy is searched according to the ranking results described to be ranked up from low to high according to clicking rate
Rope keyword last search result of selected and sorted in the search result of each search engine, as recommendation search result;With/
Or,
If the second preset strategy is is ranked up according to score information from high to low, according to the ranking results described
Search key most preceding search result of selected and sorted in the search result of each search engine, as recommendation search result;
And/or
If the second preset strategy is is ranked up according to score information from low to high, according to the ranking results described
Search key last search result of selected and sorted in the search result of each search engine, as recommendation search result;
And/or
If the second preset strategy is is ranked up according to the frequency of occurrences from high to low, according to the ranking results described
Search key most preceding search result of selected and sorted in the search result of each search engine, as recommendation search result;
And/or
If the second preset strategy is is ranked up according to the frequency of occurrences from low to high, according to the ranking results described
Search key last search result of selected and sorted in the search result of each search engine, as recommendation search result.
12. according to the described in any item web data searchers of claim 7 to 11, which is characterized in that
The information acquisition unit, specifically for obtaining described search keyword respectively in each search engine by cloud computing
The quality information of search result.
13. a kind of communication system, which is characterized in that including the described in any item web data searchers of claim 7 to 12.
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CN201310451669.8A CN104516887B (en) | 2013-09-27 | 2013-09-27 | A kind of web data searching method, device and system |
TW103130479A TW201512865A (en) | 2013-09-27 | 2014-09-03 | Method for searching web page digital data, device and system thereof |
PCT/CN2014/087079 WO2015043430A1 (en) | 2013-09-27 | 2014-09-22 | Webpage data search method, device and system thereof |
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CN106897289B (en) * | 2015-12-18 | 2020-07-10 | 北京奇虎科技有限公司 | Information search optimization method and device |
CN105701216B (en) | 2016-01-13 | 2017-03-08 | 北京三快在线科技有限公司 | A kind of information-pushing method and device |
CN107491462B (en) * | 2016-06-13 | 2020-09-11 | 腾讯科技(深圳)有限公司 | Method and system for providing search results |
CN107526740A (en) * | 2016-06-21 | 2017-12-29 | 北京搜狗科技发展有限公司 | A kind of method and electronic equipment for showing search result |
WO2018027460A1 (en) * | 2016-08-08 | 2018-02-15 | 深圳市博信诺达经贸咨询有限公司 | Method and system for algorithm comparison |
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CN106970962B (en) * | 2017-03-21 | 2020-08-11 | 国家计算机网络与信息安全管理中心 | Method and device for obtaining search result of search engine |
CN107526774B (en) * | 2017-07-17 | 2020-01-21 | 北京赛时科技有限公司 | Work full-text searching method and device and storage medium |
CN110196833B (en) * | 2018-03-22 | 2023-06-09 | 腾讯科技(深圳)有限公司 | Application searching method, device, terminal and storage medium |
CN110334280A (en) * | 2019-07-10 | 2019-10-15 | 中国民航信息网络股份有限公司 | A kind of method and device of discovery confidential information leakage |
CN110427290A (en) * | 2019-08-09 | 2019-11-08 | 上海天诚通信技术股份有限公司 | A kind of computer room Fault Locating Method |
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