CN106777201A - The sort method and device of the recommending data in search results pages - Google Patents
The sort method and device of the recommending data in search results pages Download PDFInfo
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Abstract
The invention provides the sort method and device of the recommending data in a kind of search results pages, the method includes：The multiple type of recommendation groups in search results pages are obtained, wherein, each type of recommendation group includes type of recommendation label and corresponding one or more recommending datas；Obtain the trigger action for one or more recommending datas under described each type of recommendation group；Based on described each sorting position of type of recommendation group in search results pages of trigger action adjustment for obtaining.The embodiment of the present invention adjusts each sorting position of type of recommendation group in search results pages based on user for the trigger action of one or more recommending datas under each type of recommendation group, realize the sorting position for dynamically adjusting recommending data, user can be facilitated to get the recommending data of self-demand, improve the click volume of recommending data.
Description
Technical field
The present invention relates to technical field of internet application, the sequence side of the recommending data in particularly a kind of search results pages
Method and device.
Background technology
With developing rapidly for information technology, today's society enters the information explosion epoch, people more and more by
Network come find oneself needs information, therefore, retrieval turn into people work, an indispensable part of living.
People are retrieved usually using search engine, and search engine refers to according to certain strategy, with specific
Computer program collects information from internet, after information is organized and processed, provides the user retrieval service, will be with
The system that the related information of user search shows user.
At present, the recommendation of data can be carried out on the right side of search results pages, how recommending data is ranked up to carry
The click volume that right side high is recommended turns into the problem of urgent need to resolve.
The content of the invention
In view of the above problems, it is proposed that the present invention so as to provide one kind overcome above mentioned problem or at least in part solve on
State the sort method and corresponding device of the recommending data in the search results pages of problem.
According to an aspect of of the present present invention, there is provided a kind of sort method of the recommending data in search results pages, including：
The multiple type of recommendation groups in search results pages are obtained, wherein, each type of recommendation group includes type of recommendation mark
Sign and corresponding one or more recommending datas；
Obtain the trigger action for one or more recommending datas under described each type of recommendation group；
Based on described each sorting position of type of recommendation group in search results pages of trigger action adjustment for obtaining.
Alternatively, the triggering behaviour obtained for one or more recommending datas under described each type of recommendation group
Make, including：
The triggering behaviour for one or more recommending datas under described each type of recommendation group in the time period is specified in identification
Make, and count the quantitative value of trigger action；
It is described that described each sorting position of type of recommendation group in search results pages is adjusted based on the trigger action for obtaining,
Including：
Each sorting position of type of recommendation group in search results pages described in quantitative value adjustment according to trigger action.
Alternatively, each sequence of type of recommendation group in search results pages described in the quantitative value adjustment according to trigger action
Position, including：
Quantitative value to the trigger action of one or more recommending datas under described each type of recommendation group is descending
It is ranked up, the position after being sorted；
Using each sorting position of type of recommendation group in search results pages described in the position adjustment after the sequence.
Alternatively, using each sequence of type of recommendation group in search results pages described in the position adjustment after the sequence
Position, including：
Sequence position using the position after the sequence as corresponding described each type of recommendation group in search results pages
Put.
Alternatively, using the position after the sequence as corresponding described each type of recommendation group in search results pages
Sorting position, including：
The weight order value of adjustment each type of recommendation group, to realize the position after the sequence as corresponding
Described each sorting position of type of recommendation group in search results pages.
Alternatively, described device also includes：
Obtain the first search result items in search results pages；
Based on described first described each sorting position of type of recommendation group in search results pages of search result items adjustment.
Alternatively, based on the first search result items adjustment row of each type of recommendation group in search results pages
Tagmeme is put, including：
Determine the result type of the first search result items；
The type of recommendation label that will be matched with the result type in the type of recommendation label of each type of recommendation group
Corresponding type of recommendation group is placed on the first place of sorting position.
Alternatively, the result type includes following one of any：
Novel, caricature, TV play, film, music, game.
Alternatively, the multiple type of recommendation group is located at the right side area of the search results pages.
Alternatively, the multiple type of recommendation groups obtained in search results pages, including：
Obtain the multiple type of recommendation groups in the corresponding search results pages of search query；
It is described that described each sorting position of type of recommendation group in search results pages is adjusted based on the trigger action for obtaining,
Including：
When the target query matched with the search query from user is received, based on the trigger action for obtaining
Sorting position of described each type of recommendation group of adjustment in target query correspondence search results pages.
Alternatively, the type of recommendation label in described each type of recommendation group includes the key for summarizing recommending data
Word.
According to another aspect of the present invention, a kind of collator of the recommending data in search results pages is additionally provided, wrapped
Include：
First acquisition module, is suitable to obtain the multiple type of recommendation groups in search results pages, wherein, each type of recommendation group
Include type of recommendation label and corresponding one or more recommending datas；
Second acquisition module, is suitable to obtain touching for one or more recommending datas under described each type of recommendation group
Hair operation；
Order module, is suitable to based on described each type of recommendation group of trigger action adjustment for obtaining in search results pages
Sorting position.
Alternatively, second acquisition module is further adapted for：Identification is specified in the time period for described each type of recommendation group
Under one or more recommending datas trigger action, and count the quantitative value of trigger action；
The order module is further adapted for：Each type of recommendation group described in quantitative value adjustment according to trigger action is tied in search
Sorting position on fruit page.
Alternatively, the order module is further adapted for：
Quantitative value to the trigger action of one or more recommending datas under described each type of recommendation group is descending
It is ranked up, the position after being sorted；
Using each sorting position of type of recommendation group in search results pages described in the position adjustment after the sequence.
Alternatively, the order module is further adapted for：
Sequence position using the position after the sequence as corresponding described each type of recommendation group in search results pages
Put.
Alternatively, the order module is further adapted for：
The weight order value of adjustment each type of recommendation group, to realize the position after the sequence as corresponding
Described each sorting position of type of recommendation group in search results pages.
Alternatively, described device also includes：
3rd acquisition module, is suitable to obtain the first search result items in search results pages；
The order module, is further adapted for based on described first described each type of recommendation group of search result items adjustment in search
Sorting position on result page.
Alternatively, the order module is further adapted for：
Determine the result type of the first search result items；
The type of recommendation label that will be matched with the result type in the type of recommendation label of each type of recommendation group
Corresponding type of recommendation group is placed on the first place of sorting position.
Alternatively, the result type includes following one of any：
Novel, caricature, TV play, film, music, game.
Alternatively, the multiple type of recommendation group is located at the right side area of the search results pages.
Alternatively, first acquisition module is further adapted for：The multiple obtained in the corresponding search results pages of search query is pushed away
Recommend type group；
The order module is further adapted for：When receiving the target query matched with the search query from user
When, based on described each type of recommendation group of trigger action adjustment for obtaining in target query correspondence search results pages
Sorting position.
Alternatively, the type of recommendation label in described each type of recommendation group includes the key for summarizing recommending data
Word.
A kind of sequencing schemes of the recommending data in search results pages are the embodiment of the invention provides, search knot is obtained first
Multiple type of recommendation groups on fruit page, each type of recommendation group includes type of recommendation label and corresponding one or more recommendations
Data；Then, the trigger action for one or more recommending datas under each type of recommendation group is obtained, and then based on acquisition
Trigger action adjust each sorting position of type of recommendation group in search results pages.Because user is for each type of recommendation
The trigger action of one or more recommending datas under group can reflect actual demand of the user for recommending data, and the present invention is real
Apply example and each recommendation is adjusted for the trigger action of one or more recommending datas under each type of recommendation group based on user
Sorting position of the type group in search results pages, realizes the sorting position for dynamically adjusting recommending data, can conveniently use
Family gets the recommending data of self-demand, improves the click volume of recommending data.
Described above is only the general introduction of technical solution of the present invention, in order to better understand technological means of the invention,
And can be practiced according to the content of specification, and in order to allow the above and other objects of the present invention, feature and advantage can
Become apparent, below especially exemplified by specific embodiment of the invention.
According to the accompanying drawings to the detailed description of the specific embodiment of the invention, those skilled in the art will be brighter
Of the invention above-mentioned and other purposes, advantages and features.
Brief description of the drawings
By reading the detailed description of hereafter preferred embodiment, various other advantages and benefit is common for this area
Technical staff will be clear understanding.Accompanying drawing is only used for showing the purpose of preferred embodiment, and is not considered as to the present invention
Limitation.And in whole accompanying drawing, identical part is denoted by the same reference numerals.In the accompanying drawings：
Fig. 1 shows the flow of the sort method of the recommending data in search results pages according to an embodiment of the invention
Figure；
Fig. 2 shows the flow of the sort method of the recommending data in search results pages according to another embodiment of the present invention
Figure；
Fig. 3 shows the schematic diagram of search results pages according to an embodiment of the invention；
Fig. 4 shows another schematic diagram of search results pages according to an embodiment of the invention；
Fig. 5 shows that the structure of the collator of the recommending data in search results pages according to an embodiment of the invention is shown
It is intended to；And
Fig. 6 shows the structure of the collator of the recommending data in search results pages according to another embodiment of the present invention
Schematic diagram.
Specific embodiment
The exemplary embodiment of the disclosure is more fully described below with reference to accompanying drawings.Although showing the disclosure in accompanying drawing
Exemplary embodiment, it being understood, however, that may be realized in various forms the disclosure without should be by embodiments set forth here
Limited.Conversely, there is provided these embodiments are able to be best understood from the disclosure, and can be by the scope of the present disclosure
Complete conveys to those skilled in the art.
In order to solve the above technical problems, the embodiment of the invention provides a kind of sequence of the recommending data in search results pages
Method, the method can be applied on the terminal devices such as PC, smart mobile phone or panel computer.Fig. 1 is shown according to this
Invent the flow chart of the sort method of recommending data in the search results pages of an embodiment.As shown in figure 1, the method at least may be used
To comprise the following steps S102 to step S106.
Step S102, obtains the multiple type of recommendation groups in search results pages, wherein, each type of recommendation group includes pushing away
Recommend type label and corresponding one or more recommending datas.
Step S104, obtains the trigger action for one or more recommending datas under each type of recommendation group.
Step S106, sequence position of each type of recommendation group in search results pages is adjusted based on the trigger action for obtaining
Put.
A kind of sequencing schemes of the recommending data in search results pages are the embodiment of the invention provides, search knot is obtained first
Multiple type of recommendation groups on fruit page, each type of recommendation group includes type of recommendation label and corresponding one or more recommendations
Data；Then, the trigger action for one or more recommending datas under each type of recommendation group is obtained, and then based on acquisition
Trigger action adjust each sorting position of type of recommendation group in search results pages.Because user is for each type of recommendation
The trigger action of one or more recommending datas under group can reflect actual demand of the user for recommending data, and the present invention is real
Apply example and each recommendation is adjusted for the trigger action of one or more recommending datas under each type of recommendation group based on user
Sorting position of the type group in search results pages, realizes the sorting position for dynamically adjusting recommending data, can conveniently use
Family gets the recommending data of self-demand, improves the click volume of recommending data.
The type of recommendation label (tag) that each type of recommendation group referred in above step S102 includes, it includes use
In the keyword for summarizing recommending data.For example, when search word is entity word (such as Zhang San, the Li Si) for representing personage, recommending
Type label can be related person, novel role, literary image etc., the invention is not restricted to this.Again for example, when search word is
When representing entity word (such as superfine product retainer of a big family, the sanguinary battle hacksaw ridge) of movie and television play, type of recommendation label can be related film, correlation
TV play, related novel, other people also search etc..
In alternative embodiment of the invention, multiple type of recommendation groups may be located at the right side area of search results pages, from
And the embodiment of the present invention can obtain multiple type of recommendation groups of the right side area of search results pages, and then its sorting position is entered
Row adjustment.Further, the search results pages where multiple type of recommendation groups can be the corresponding Search Results of search query
Page, search query here can be search word, sentence, voice, picture etc., embodiment of the present invention not limited to this.
The trigger action for one or more recommending datas under each type of recommendation group is obtained in above step S104,
A kind of optional scheme is the embodiment of the invention provides, in this scenario, can be recognized in the specified time period for each recommendation
The trigger action of one or more recommending datas under type group, and the quantitative value of trigger action is counted, and then in step S106
In based on obtain trigger action adjust sorting position of each type of recommendation group in search results pages when, can be according to triggering
The quantitative value of operation adjusts each sorting position of type of recommendation group in search results pages.Here the specified time period can be as
1 day or 3 days etc., can be configured according to the actual requirements, the invention is not limited in this regard.
In alternative embodiment of the invention, each type of recommendation group is being adjusted in search according to the quantitative value of trigger action
During sorting position on result page, can be to the number of the trigger action of one or more recommending datas under each type of recommendation group
Value is descending to be ranked up, the position after being sorted, followed by each type of recommendation group of the position adjustment after sequence
Sorting position in search results pages.Specifically, can exist the position after sequence as corresponding each type of recommendation group
Sorting position in search results pages.
For example, the multiple type of recommendation groups in search results pages are respectively group 1, organize 2 and group 3 from top to bottom, group 1,
The quantitative value of trigger action of one or more recommending datas under group 2 and group 3 is respectively n1, n2 and n3, by n1, n2 and n3 by
Arrive greatly it is small be ranked up, the position after being sorted is n3, n1, n2, then using position adjustment each type of recommendation after sequence
Sorting position of the group in search results pages so that multiple type of recommendation groups in search results pages be respectively from top to bottom group 3,
Group 1 and group 2.If be ranked up n1, n2 and n3 are descending, the position after being sorted is still n1, n2 and n3, explanation
Current sorting position reflects demand of the user for recommending data, then can not adjust each type of recommendation group and be tied in search
Sorting position on fruit page.It should be noted that only enumerate herein, the embodiment of the present invention is not limited.
In an alternate embodiment of the invention, the weight order value of each type of recommendation group can be adjusted to realize after sequence
Position is used as corresponding each sorting position of type of recommendation group in search results pages.For example, according to the position after sequence according to
The secondary weight order value for adjusting each type of recommendation group so that the size order of the weight order value of each type of recommendation group and row
Position consistency after sequence.Still example is exemplified as with above-mentioned, the weight order value of group 1, group 2 and group 3 is respectively w1, w2 and w3, and
And w1, w2 and w3 descending order is w1, w2 and w3.At this point it is possible to be adjusted using position n3, n1, the n2 after sequence
W1, w2 and w3, the order for making its descending are adjusted to w3, w1 and w2, so as to according to weight order value w3, w1 after adjustment and
W2 adjusts each sorting position of type of recommendation group in search results pages so that the multiple type of recommendation in search results pages
Group is respectively group 3, group 1 and group 2 from top to bottom.
In another alternative embodiment of the invention, exist each type of recommendation group is adjusted according to the quantitative value of trigger action
During sorting position in search results pages, the maximum type of recommendation group of the quantitative value of trigger action can be therefrom chosen, and should
Type of recommendation group is placed on the first place of sorting position, and remaining type of recommendation group can be placed according to sequence before or put at random
Put.
Because the first search result items in search results pages can to a certain extent embody search temperature and volumes of searches,
Thus, the embodiment of the present invention can also obtain the first search result items in search results pages, and then based on first Search Results
Adjust each sorting position of type of recommendation group in search results pages.In an alternate embodiment of the invention, based on first search
Result items come adjust each sorting position of type of recommendation group in search results pages can be based on first search result items knot
The mode of fruit type realizes, specifically, it may be determined that the result type of first search result items, and by each type of recommendation group
Type of recommendation label in the corresponding type of recommendation group of type of recommendation label that is matched with the result type be placed on sorting position
First place, and remaining type of recommendation group can according to before sequence place or randomly place.Here result type can be with
It is novel, caricature, TV play, film, music, game etc., the invention is not restricted to this.
In alternative embodiment of the invention, the search results pages where multiple type of recommendation groups can be searched for be generated
Rope result page, the type of recommendation group in search results pages to be generated has a sorting position for algorithm acquiescence, then the present invention
Embodiment can be adjusted each based on the trigger action of one or more recommending datas under each type of recommendation group and recommend class
Sorting position of the type group in search results pages to be generated.Here one or more under each type of recommendation group recommend number
According to trigger action can be before this search count trigger action.
In alternative embodiment of the invention, the search results pages where multiple type of recommendation groups can be search query
Corresponding search results pages, each type of recommendation group is adjusted in Search Results in above step S106 based on the trigger action for obtaining
Sorting position on page, can be when the target query matched with search query from user is received, based on acquisition
Trigger action adjust each type of recommendation group target query correspondence search results pages on sorting position.Thus, the present invention
Embodiment can be based on each type of recommendation group in first search results pages (searching for the corresponding search results pages of query)
Under one or more recommending datas trigger action come search results pages (the i.e. corresponding search of target query after adjusting
Result page) each type of recommendation group sorting position.
Various implementations of the links of the embodiment being described above shown in Fig. 1, below will be specific real by one
Example is applied the implementation process of the sort method of the recommending data in search results pages of the invention is discussed in detail.
Fig. 2 shows the flow of the sort method of the recommending data in search results pages according to another embodiment of the present invention
Figure.As shown in Fig. 2 the method at least may comprise steps of S202 to step S214.
Step S202, obtains the multiple type of recommendation groups in the corresponding search results pages of search query, wherein, each is pushed away
Recommending type group includes type of recommendation label and corresponding one or more recommending datas.
In this step, search query can be search word, sentence, voice, picture etc., and the embodiment of the present invention is not limited
In this.When user is input into search word " Deng Chao " in search box, its search results pages is as shown in figure 3, in figure 3, search is tied
The right side area of fruit page includes four type of recommendation groups, and the type of recommendation label of this four type of recommendation groups is respectively from top to bottom
Wrapped under " related person ", " other people also search ", " TV play that Deng Chao is acted the leading role ", " online friend discusses warmly ", and this four type of recommendation groups
Containing corresponding one or more recommending datas.For example, under the type of recommendation group where type of recommendation label is " online friend discusses warmly ",
Its recommending data include four, be respectively " Deng Chao daughter sells and sprouts ", " Deng Chao practical joke deer break posters are praised ", " Deng Chao is gone on overline bridge
Pad pasting ", " ten microbloggings of Deng Chao running fires overstate wife ".The sorting position of multiple type of recommendation groups here is obtained according to algorithm
The sorting position of acquiescence.
Touching for one or more recommending datas under each type of recommendation group in the time period is specified in step S204, identification
Hair operation, and count the quantitative value of trigger action.
Step S206, to the quantitative value of the trigger action of one or more recommending datas under each type of recommendation group by big
It is ranked up to small, the position after being sorted.
Step S208, adjusts the weight order value of each type of recommendation group to realize the position after sequence as correspondence
Each sorting position of type of recommendation group in search results pages.
In this step, when the click volume of the recommending data of the type of recommendation group being located below is higher than type of recommendation above
The click volume of the recommending data of group, and specify the situation of (such as 3 days or 7 days etc.) in time threshold all, then improve and be located at down
The type of recommendation group weight order value in face, makes it represent position more top.And work as the point of the recommending data of each type of recommendation group
When the amount of hitting gradually is reduced from top to bottom, then the weight order value of type of recommendation group can not be adjusted, keep current each
The clooating sequence of individual type of recommendation group is constant.
So far, for different search query, different searching can be adjusted to step S208 using above-mentioned steps S202
The weight order value of each type of recommendation group under the corresponding search results pages of rope query, so can be for follow-up to recommending number
According to being ranked up offer foundation.
Step S210, when the target search query from user is received, acquisition target search query is corresponding to be treated
The search results pages of generation.
Step S212, obtains the multiple respective weight orders of target type of recommendation group in search results pages to be generated
Value.
Step S214, based on each respective weight order value of target type of recommendation group, determines each target type of recommendation
Sorting position of the group in search results pages to be generated, and then draw search results pages to be generated.
After being adjusted to the weight order value of each type of recommendation group based on above-mentioned steps S202 to step S208, when with
After family is input into search word " Deng Chao " again, search results pages are obtained as shown in figure 4, in fig. 4, the right side area of search results pages
Including four type of recommendation groups, the type of recommendation label of this four type of recommendation groups is respectively " the electricity that Deng Chao is acted the leading role from top to bottom
Depending on play ", " related person ", " other people also search ", " online friend discusses warmly ", illustrate type of recommendation label for " Deng Chao act the leading role TV play "
The click volume highest of the recommending data under the type of recommendation group at place, therefore first place is transferred in its position.
The embodiment of the present invention is based on user and is grasped for the triggering of one or more recommending datas under each type of recommendation group
Make to adjust each sorting position of type of recommendation group in search results pages, realize and dynamically adjust right side recommending data
Sorting position, can facilitate user to get the recommending data of self-demand, improve the click volume of recommending data.
It should be noted that in practical application, above-mentioned all optional embodiments can be any group by the way of combining
Close, form alternative embodiment of the invention, this is no longer going to repeat them.
The sort method of the recommending data in search results pages provided based on each embodiment above, based on same invention
Design, the embodiment of the present invention additionally provides a kind of collator of the recommending data in search results pages.
Fig. 5 shows that the structure of the collator of the recommending data in search results pages according to an embodiment of the invention is shown
It is intended to.As shown in figure 5, the device can at least include the first acquisition module 510, the second acquisition module 520 and order module
530。
Now introduce each composition or device of the collator of recommending data in the search results pages of the embodiment of the present invention
Annexation between function and each several part：
First acquisition module 510, is suitable to obtain the multiple type of recommendation groups in search results pages, wherein, each recommends class
Type group includes type of recommendation label and corresponding one or more recommending datas；
Second acquisition module 520, is coupled with the first acquisition module 510, is suitable to obtain for described each type of recommendation
The trigger action of one or more recommending datas under group；
Order module 530, is coupled with the second acquisition module 520, is suitable to described each based on the trigger action adjustment for obtaining
Sorting position of the individual type of recommendation group in search results pages.
In an embodiment of the present invention, second acquisition module 520 is further adapted for：Identification is specified in the time period for described
The trigger action of one or more recommending datas under each type of recommendation group, and count the quantitative value of trigger action；
The order module 530 is further adapted for：Each type of recommendation group described in quantitative value adjustment according to trigger action is being searched
Sorting position on rope result page.
In an embodiment of the present invention, the order module 530 is further adapted for：
Quantitative value to the trigger action of one or more recommending datas under described each type of recommendation group is descending
It is ranked up, the position after being sorted；
Using each sorting position of type of recommendation group in search results pages described in the position adjustment after the sequence.
In an embodiment of the present invention, the order module 530 is further adapted for：
Sequence position using the position after the sequence as corresponding described each type of recommendation group in search results pages
Put.
In an embodiment of the present invention, the order module 530 is further adapted for：
The weight order value of adjustment each type of recommendation group, to realize the position after the sequence as corresponding
Described each sorting position of type of recommendation group in search results pages.
In an embodiment of the present invention, as shown in fig. 6, the device of figure 5 above displaying can also include：
3rd acquisition module 610, is coupled with order module 530, is suitable to obtain the first search knot in search results pages
Fruit item；
The order module 530, is further adapted for existing based on described first described each type of recommendation group of search result items adjustment
Sorting position in search results pages.
In an embodiment of the present invention, the order module 530 is further adapted for：
Determine the result type of the first search result items；
The type of recommendation label that will be matched with the result type in the type of recommendation label of each type of recommendation group
Corresponding type of recommendation group is placed on the first place of sorting position.
In an embodiment of the present invention, the result type includes following one of any：
Novel, caricature, TV play, film, music, game.
In an embodiment of the present invention, the multiple type of recommendation group is located at the right side area of the search results pages.
In an embodiment of the present invention, first acquisition module 510 is further adapted for：Obtain the corresponding search of search query
Multiple type of recommendation groups on result page；
The order module 530 is further adapted for：When receiving the target matched with the search query from user
During query, based on described each type of recommendation group of trigger action adjustment for obtaining in target query correspondence search results pages
On sorting position.
In an embodiment of the present invention, the type of recommendation label in described each type of recommendation group is comprising for summarizing recommendation
The keyword of data.
According to the combination of above-mentioned any one preferred embodiment or multiple preferred embodiments, the embodiment of the present invention can reach
Following beneficial effect：
A kind of sequencing schemes of the recommending data in search results pages are the embodiment of the invention provides, search knot is obtained first
Multiple type of recommendation groups on fruit page, each type of recommendation group includes type of recommendation label and corresponding one or more recommendations
Data；Then, the trigger action for one or more recommending datas under each type of recommendation group is obtained, and then based on acquisition
Trigger action adjust each sorting position of type of recommendation group in search results pages.Because user is for each type of recommendation
The trigger action of one or more recommending datas under group can reflect actual demand of the user for recommending data, and the present invention is real
Apply example and each recommendation is adjusted for the trigger action of one or more recommending datas under each type of recommendation group based on user
Sorting position of the type group in search results pages, realizes the sorting position for dynamically adjusting recommending data, can conveniently use
Family gets the recommending data of self-demand, improves the click volume of recommending data.
In specification mentioned herein, numerous specific details are set forth.It is to be appreciated, however, that implementation of the invention
Example can be put into practice in the case of without these details.In some instances, known method, structure is not been shown in detail
And technology, so as not to obscure the understanding of this description.
Similarly, it will be appreciated that in order to simplify one or more that the disclosure and helping understands in each inventive aspect, exist
Above to the description of exemplary embodiment of the invention in, each feature of the invention is grouped together into single implementation sometimes
In example, figure or descriptions thereof.However, the method for the disclosure should be construed to reflect following intention：I.e. required guarantor
The application claims of shield features more more than the feature being expressly recited in each claim.More precisely, such as following
Claims reflect as, inventive aspect is all features less than single embodiment disclosed above.Therefore,
Thus the claims for following specific embodiment are expressly incorporated in the specific embodiment, and wherein each claim is in itself
All as separate embodiments of the invention.
Those skilled in the art are appreciated that can be carried out adaptively to the module in the equipment in embodiment
Change and they are arranged in one or more equipment different from the embodiment.Can be the module or list in embodiment
Unit or component be combined into a module or unit or component, and can be divided into addition multiple submodule or subelement or
Sub-component.In addition at least some in such feature and/or process or unit exclude each other, can use any
Combine to all features disclosed in this specification (including adjoint claim, summary and accompanying drawing) and so disclosed appoint
Where all processes or unit of method or equipment are combined.Unless expressly stated otherwise, this specification (including adjoint power
Profit is required, summary and accompanying drawing) disclosed in each feature can the alternative features of or similar purpose identical, equivalent by offer carry out generation
Replace.
Although additionally, it will be appreciated by those of skill in the art that some embodiments described herein include other embodiments
In included some features rather than further feature, but the combination of the feature of different embodiments means in of the invention
Within the scope of and form different embodiments.For example, in detail in the claims, embodiment required for protection it is one of any
Mode can use in any combination.
All parts embodiment of the invention can be realized with hardware, or be run with one or more processor
Software module realize, or with combinations thereof realize.It will be understood by those of skill in the art that can use in practice
Microprocessor or digital signal processor (DSP) realize the recommending data in search results pages according to embodiments of the present invention
Collator in some or all parts some or all functions.The present invention is also implemented as performing this
In described method some or all equipment or program of device (for example, computer program and computer program
Product).It is such to realize that program of the invention be stored on a computer-readable medium, or can be with one or many
The form of individual signal.Such signal can be downloaded from internet website and obtained, or be provided on carrier signal, or with
Any other form is provided.
It should be noted that above-described embodiment the present invention will be described rather than limiting the invention, and ability
Field technique personnel can design alternative embodiment without departing from the scope of the appended claims.In the claims,
Any reference symbol being located between bracket should not be configured to limitations on claims.Word "comprising" is not excluded the presence of not
Element listed in the claims or step.Word "a" or "an" before element is not excluded the presence of as multiple
Element.The present invention can come real by means of the hardware for including some different elements and by means of properly programmed computer
It is existing.If in the unit claim for listing equipment for drying, several in these devices can be by same hardware branch
To embody.The use of word first, second, and third does not indicate that any order.These words can be explained and run after fame
Claim.
So far, although those skilled in the art will appreciate that detailed herein have shown and described multiple of the invention and show
Example property embodiment, but, without departing from the spirit and scope of the present invention, still can be direct according to present disclosure
It is determined that or deriving many other variations or modifications for meeting the principle of the invention.Therefore, the scope of the present invention is understood that and recognizes
It is set to and covers all these other variations or modifications.
A kind of one side of the embodiment of the present invention, there is provided the sort method of the recommending data in A1, search results pages, bag
Include：
The multiple type of recommendation groups in search results pages are obtained, wherein, each type of recommendation group includes type of recommendation mark
Sign and corresponding one or more recommending datas；
Obtain the trigger action for one or more recommending datas under described each type of recommendation group；
Based on described each sorting position of type of recommendation group in search results pages of trigger action adjustment for obtaining.
A2, the method according to A1, wherein,
The trigger action obtained for one or more recommending datas under described each type of recommendation group, including：
The triggering behaviour for one or more recommending datas under described each type of recommendation group in the time period is specified in identification
Make, and count the quantitative value of trigger action；
It is described that described each sorting position of type of recommendation group in search results pages is adjusted based on the trigger action for obtaining,
Including：
Each sorting position of type of recommendation group in search results pages described in quantitative value adjustment according to trigger action.
A3, the method according to A1 or A2, wherein, each type of recommendation described in the quantitative value adjustment according to trigger action
Sorting position of the group in search results pages, including：
Quantitative value to the trigger action of one or more recommending datas under described each type of recommendation group is descending
It is ranked up, the position after being sorted；
Using each sorting position of type of recommendation group in search results pages described in the position adjustment after the sequence.
A4, the method according to any one of A1-A3, wherein, using described in the position adjustment after the sequence each
Sorting position of the type of recommendation group in search results pages, including：
Sequence position using the position after the sequence as corresponding described each type of recommendation group in search results pages
Put.
A5, the method according to any one of A1-A4, wherein, using the position after the sequence as corresponding described
Each sorting position of type of recommendation group in search results pages, including：
The weight order value of adjustment each type of recommendation group, to realize the position after the sequence as corresponding
Described each sorting position of type of recommendation group in search results pages.
A6, the method according to any one of A1-A5, wherein, also include：
Obtain the first search result items in search results pages；
Based on described first described each sorting position of type of recommendation group in search results pages of search result items adjustment.
A7, the method according to any one of A1-A6, wherein, it is described each based on the first search result items adjustment
Sorting position of the individual type of recommendation group in search results pages, including：
Determine the result type of the first search result items；
The type of recommendation label that will be matched with the result type in the type of recommendation label of each type of recommendation group
Corresponding type of recommendation group is placed on the first place of sorting position.
A8, the method according to any one of A1-A7, wherein, the result type includes following one of any：
Novel, caricature, TV play, film, music, game.
A9, the method according to any one of A1-A8, wherein, the multiple type of recommendation group is located at the search knot
The right side area of fruit page.
A10, the method according to any one of A1-A9, wherein,
Multiple type of recommendation groups in the acquisition search results pages, including：
Obtain the multiple type of recommendation groups in the corresponding search results pages of search query；
It is described that described each sorting position of type of recommendation group in search results pages is adjusted based on the trigger action for obtaining,
Including：
When the target query matched with the search query from user is received, based on the trigger action for obtaining
Sorting position of described each type of recommendation group of adjustment in target query correspondence search results pages.
A11, the method according to any one of A1-A10, wherein, the type of recommendation in described each type of recommendation group
Label includes the keyword for summarizing recommending data.
The another aspect of the embodiment of the present invention, additionally provides a kind of sequence dress of the recommending data in B12, search results pages
Put, including：
First acquisition module, is suitable to obtain the multiple type of recommendation groups in search results pages, wherein, each type of recommendation group
Include type of recommendation label and corresponding one or more recommending datas；
Second acquisition module, is suitable to obtain touching for one or more recommending datas under described each type of recommendation group
Hair operation；
Order module, is suitable to based on described each type of recommendation group of trigger action adjustment for obtaining in search results pages
Sorting position.
B13, the device according to B12, wherein,
Second acquisition module is further adapted for：Identification is specified in the time period under described each type of recommendation group
Or the trigger action of multiple recommending datas, and count the quantitative value of trigger action；
The order module is further adapted for：Each type of recommendation group described in quantitative value adjustment according to trigger action is tied in search
Sorting position on fruit page.
B14, the device according to B12 or B13, wherein, the order module is further adapted for：
Quantitative value to the trigger action of one or more recommending datas under described each type of recommendation group is descending
It is ranked up, the position after being sorted；
Using each sorting position of type of recommendation group in search results pages described in the position adjustment after the sequence.
B15, the device according to any one of B12-B14, wherein, the order module is further adapted for：
Sequence position using the position after the sequence as corresponding described each type of recommendation group in search results pages
Put.
B16, the device according to any one of B12-B15, wherein, the order module is further adapted for：
The weight order value of adjustment each type of recommendation group, to realize the position after the sequence as corresponding
Described each sorting position of type of recommendation group in search results pages.
B17, the device according to any one of B12-B16, wherein, also include：
3rd acquisition module, is suitable to obtain the first search result items in search results pages；
The order module, is further adapted for based on described first described each type of recommendation group of search result items adjustment in search
Sorting position on result page.
B18, the device according to any one of B12-B17, wherein, the order module is further adapted for：
Determine the result type of the first search result items；
The type of recommendation label that will be matched with the result type in the type of recommendation label of each type of recommendation group
Corresponding type of recommendation group is placed on the first place of sorting position.
B19, the device according to any one of B12-B18, wherein, the result type includes following one of any：
Novel, caricature, TV play, film, music, game.
B20, the device according to any one of B12-B19, wherein, the multiple type of recommendation group is located at the search
The right side area of result page.
B21, the device according to any one of B12-B20, wherein,
First acquisition module is further adapted for：Obtain the multiple type of recommendation in the corresponding search results pages of search query
Group；
The order module is further adapted for：When receiving the target query matched with the search query from user
When, based on described each type of recommendation group of trigger action adjustment for obtaining in target query correspondence search results pages
Sorting position.
B22, the device according to any one of B12-B21, wherein, the type of recommendation in described each type of recommendation group
Label includes the keyword for summarizing recommending data.
Claims (10)
1. the sort method of the recommending data in a kind of search results pages, including：
Obtain search results pages on multiple type of recommendation groups, wherein, each type of recommendation group include type of recommendation label with
Corresponding one or more recommending datas；
Obtain the trigger action for one or more recommending datas under described each type of recommendation group；
Based on described each sorting position of type of recommendation group in search results pages of trigger action adjustment for obtaining.
2. method according to claim 1, wherein,
The trigger action obtained for one or more recommending datas under described each type of recommendation group, including：
The trigger action for one or more recommending datas under described each type of recommendation group in the time period is specified in identification, and
Count the quantitative value of trigger action；
It is described that described each sorting position of type of recommendation group in search results pages, bag are adjusted based on the trigger action for obtaining
Include：
Each sorting position of type of recommendation group in search results pages described in quantitative value adjustment according to trigger action.
3. method according to claim 1 and 2, wherein, described each recommendation class of quantitative value adjustment according to trigger action
Sorting position of the type group in search results pages, including：
It is descending to the quantitative value of the trigger action of one or more recommending datas under described each type of recommendation group to carry out
Sequence, the position after being sorted；
Using each sorting position of type of recommendation group in search results pages described in the position adjustment after the sequence.
4. the method according to any one of claim 1-3, wherein, using described in the position adjustment after the sequence each
Sorting position of the type of recommendation group in search results pages, including：
Using the position after the sequence as corresponding described each sorting position of type of recommendation group in search results pages.
5. the method according to any one of claim 1-4, wherein, using the position after the sequence as corresponding described
Each sorting position of type of recommendation group in search results pages, including：
The weight order value of adjustment each type of recommendation group, to realize the position after the sequence as corresponding described
Each sorting position of type of recommendation group in search results pages.
6. the method according to any one of claim 1-5, wherein, also include：
Obtain the first search result items in search results pages；
Based on described first described each sorting position of type of recommendation group in search results pages of search result items adjustment.
7. the method according to any one of claim 1-6, wherein, it is described each based on the first search result items adjustment
Sorting position of the individual type of recommendation group in search results pages, including：
Determine the result type of the first search result items；
Will be corresponding with the type of recommendation label that the result type is matched in the type of recommendation label of each type of recommendation group
Type of recommendation group be placed on the first place of sorting position.
8. the method according to any one of claim 1-7, wherein, the result type includes following one of any：
Novel, caricature, TV play, film, music, game.
9. the method according to any one of claim 1-8, wherein, the multiple type of recommendation group is located at the search knot
The right side area of fruit page.
10. the collator of the recommending data in a kind of search results pages, including：
First acquisition module, is suitable to obtain the multiple type of recommendation groups in search results pages, wherein, wrapped in each type of recommendation group
Include type of recommendation label and corresponding one or more recommending datas；
Second acquisition module, is suitable to obtain the triggering behaviour for one or more recommending datas under described each type of recommendation group
Make；
Order module, is suitable to based on described each sequence of type of recommendation group in search results pages of trigger action adjustment for obtaining
Position.
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