CN104142999A - Search result display method and device - Google Patents
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- CN104142999A CN104142999A CN201410377405.7A CN201410377405A CN104142999A CN 104142999 A CN104142999 A CN 104142999A CN 201410377405 A CN201410377405 A CN 201410377405A CN 104142999 A CN104142999 A CN 104142999A
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Abstract
The invention provides a search result display method and device. The search result display method comprises the steps that a target user category which first users using first search terms to conduct search at present belong to is determined; clicking weights of all objects in first search results corresponding to the first search items at present are determined according to historical search data for the first search items by all the users in the target user category; all the objects in the first search results are ranked according to the clicking weights of all the objects in the first search results; all the ranked objects in the first search results are displayed to the first users. According to the technical scheme, the efficiency for the users to obtain the objects meeting the demands from the search results can be improved, and search efficiency can be improved.
Description
[technical field]
The present invention relates to Internet technical field, relate in particular to a kind of Search Results methods of exhibiting and device.
[background technology]
Along with the development of Internet technology, user can carry out information inquiry by search engine.Concrete, user's inputted search word (query), the search word of search engine based on user's input searched for and obtained Search Results, then Search Results offered to user.
Existing Search Results represents according to the form of paging or waterfall stream conventionally, the part object in one page or a screen display of search results, and user needs page turning backward or turns over screen and browse, until obtain the object that meets user's request.The displaying of this Search Results is arbitrarily, and user often cannot obtain the object that meets demand in time from Search Results, and search efficiency is lower.
[summary of the invention]
Many aspects of the present invention provide a kind of Search Results methods of exhibiting and device, obtain the efficiency of the object that meets demand in order to improve user from Search Results, improve search efficiency.
An aspect of of the present present invention, provides a kind of Search Results methods of exhibiting, comprising:
Determine the affiliated targeted customer's classification of first user that current use the first search word is searched for;
For the historical search data of described the first search word, determine the current click weight corresponding to each object in the first Search Results of described the first search word according to each user under described targeted customer's classification;
According to the click weight of each object in described the first Search Results, each object in described the first Search Results is sorted;
Each object in described the first Search Results after sequence is represented to described first user.
Another aspect of the present invention, provides a kind of Search Results exhibiting device, comprising:
Class of subscriber determination module, the targeted customer's classification under the first user of searching for for definite current use the first search word;
Click weight determination module, for according to each user under described targeted customer's classification for the historical search data of described the first search word, determine the current click weight corresponding to each object in the first Search Results of described the first search word;
Order module, for according to the click weight of the each object of described the first Search Results, sorts to each object in described the first Search Results;
Display module, for representing the each object of described the first Search Results after sequence to described first user.
From the above, the present invention is by classifying to the user who uses search word to search for, the first user that current use the first search word is searched for, determine targeted customer's classification that first user is affiliated, use under this targeted customer's classification each user for the historical search data of the first search word, determine the current click weight corresponding to each object in the Search Results of the first search word, click weight according to each object sorts to each object, and the each object after sequence is represented to first user.The present invention classifies user, for every class user, each object in Search Results is sorted, making in Search Results each object to click tendency according to such user represents successively, user can obtain satisfactory object in time from Search Results like this, and then is conducive to improve search efficiency.
[brief description of the drawings]
In order to be illustrated more clearly in the technical scheme in the embodiment of the present invention, to the accompanying drawing of required use in embodiment or description of the Prior Art be briefly described below, apparently, accompanying drawing in the following describes is some embodiments of the present invention, for those of ordinary skill in the art, do not paying under the prerequisite of creative work, can also obtain according to these accompanying drawings other accompanying drawing.
The schematic flow sheet of the Search Results methods of exhibiting that Fig. 1 provides for one embodiment of the invention;
The schematic flow sheet of a kind of embodiment of the step 101 that Fig. 2 provides for one embodiment of the invention;
The schematic flow sheet of a kind of embodiment of the step 102 that Fig. 3 provides for one embodiment of the invention;
The schematic flow sheet of a kind of embodiment of the step 102 that Fig. 4 provides for another embodiment of the present invention;
The schematic flow sheet of the Search Results methods of exhibiting that Fig. 5 provides for another embodiment of the present invention;
The structural representation of the Search Results exhibiting device that Fig. 6 provides for one embodiment of the invention;
The structural representation of the Search Results exhibiting device that Fig. 7 provides for another embodiment of the present invention.
[embodiment]
For making object, technical scheme and the advantage of the embodiment of the present invention clearer, below in conjunction with the accompanying drawing in the embodiment of the present invention, technical scheme in the embodiment of the present invention is clearly and completely described, obviously, described embodiment is the present invention's part embodiment, instead of whole embodiment.Based on the embodiment in the present invention, those of ordinary skill in the art, not making the every other embodiment obtaining under creative work prerequisite, belong to the scope of protection of the invention.
The schematic flow sheet of the Search Results methods of exhibiting that Fig. 1 provides for one embodiment of the invention.As shown in Figure 1, the method comprises:
101, determine the affiliated targeted customer's classification of first user that current use the first search word is searched for.
The executive agent of the present embodiment can be Search Results exhibiting device, for example, can be various search engines, or connects but be independent of search engine for showing the display device of Search Results of search engine output, but is not limited to this.
In the present embodiment, even if consider that different user uses same search word to search for, the tendency of clicking object in Search Results also can be different, therefore, the user who uses search word to search for is classified, be divided into a class by clicking the identical user of tendency.Based on this, Search Results exhibiting device can utilize under same class of subscriber each user for the historical search data of same search word, current certain user is adjusted for the order of each object in the Search Results of this search word, so that the object that this user can be more prone to click preferentially represents to this user, improve the efficiency that this user obtains the object that meets demand from Search Results, and then improve search efficiency.
The binary combination of the object in Search Results corresponding to this search word that the search word that can use by user search in embodiments of the present invention, and user click characterizes user's click tendency.Wherein, the object in Search Results mainly refers to URL corresponding to object in Search Results.Consider that the binary combination between the object that search word that user uses and user click has a lot, data volume can be very large, is unfavorable for that user classifies.Based on this, the object that the search word that the present embodiment uses user and user click carries out extensive.The embodiment of the present invention does not limit extensive mode, it is to use the search word classification under search word to replace this search word that the search word of user's use is carried out to extensive mode, and it is to use website (host) corresponding to this object to replace this object that a kind of object that user is clicked carries out extensive mode.Wherein, search word classification comprises altogether 155 kinds such as film, novel, animation, news, and As time goes on, search word classification can also increase.
The situation that uses any one search word to search for for any one user under any one class of subscriber, the method flow that Search Results exhibiting device is shown Search Results is all identical.For ease of describing, the embodiment of the present invention is used scene that the first search word searches for to describe as example taking first user.
Concrete, Search Results exhibiting device is determined the first user that current use the first search word is searched for, and determines afterwards the affiliated class of subscriber of first user that current use the first search word is searched for.For ease of describing, the class of subscriber under first user is called to targeted customer's classification, this targeted customer's classification is actually the one in class of subscriber.Illustrate, the first search word can be " iphone ", " world cup " etc.
In an optional embodiment, consider that affecting the parameter that user clicks tendency may have a lot, it can be for example the click tendency that user shows on Search Results, or the intrinsic attribute of user self, or the information of the terminal device of user's use, and the combination in any of above-mentioned various parameters etc.Wherein, the click tendency that user shows on Search Results can be determined for the historical search data of predetermined search word classification by user.
Based on above-mentioned, the information of the terminal device that Search Results exhibiting device can use for attribute information and/or the first user of the historical search data of search word classification under the first search word, first user according to first user, determines the targeted customer's classification under first user.For example, can be expressed as be the function of first user for historical search data, the attribute information of first user and/or the information of the terminal device that first user uses of search word classification under the first search word to the targeted customer's classification under first user.
What deserves to be explained is, above-mentioned first user refers to and uses before first user the various search words under search word classification under the first search word to search for produced search data for the historical search data of search word classification under the first search word.The historical search data here can comprise the information such as search word, the content searching based on search word, search date and user's click or the object of browsing that search is used.In addition, the attribute information of above-mentioned first user can comprise the information such as sex, age, interest and the state of first user.The information of the terminal device that first user uses can be the information such as type, brand, specifications parameter and the performance index of the terminal device of first user use.
In a preferred embodiment, Search Results exhibiting device can be according to first user the historical search data for search word classification under the first search word, determine the targeted customer's classification under first user.
Illustrate, Search Results exhibiting device is the historical search data for search word classification under the first search word according to first user, determine a kind of embodiment of the affiliated targeted customer's classification of first user as shown in Figure 2, and this embodiment comprises:
1011, the historical search data for search word classification under the first search word according to first user, determine the object clicking rate of first user for the first search word.
First user refers to that for the object clicking rate of the first search word in the first user behavior that the each search word under search word classification is searched under using the first search word, first user is clicked the probability of the object in Search Results.
Concrete, Search Results exhibiting device can be added up for the historical search data of search word classification under the first search word first user, obtain first user and click the number of times of the object in the Search Results of these historical search data, and total number of object in the Search Results of these historical search data; Utilize first user to click the number of times of the object in the Search Results of these historical search data, divided by total number of object in the Search Results of these historical search data, using phase division result as first user for the object clicking rate of the first search word.What deserves to be explained is, the historical search data here comprise Search Results.
1012, first user is expressed as to the conditional probability model relevant with class of subscriber for the object clicking rate of the first search word.
1013, above-mentioned conditional probability model is solved, obtain the conditional probability of first user under each class of subscriber.
Specifically can carry out greatest hope algorithm (Expectation Maximization Algorithm, EM) to above-mentioned conditional probability model and solve, obtain the conditional probability of first user under each class of subscriber.
1014, the conditional probability under each class of subscriber according to first user, determines targeted customer's classification that first user is affiliated.
For example, Search Results exhibiting device can select class of subscriber that maximal condition probability is corresponding as the targeted customer's classification under first user.
Again for example, when the maximal condition probability in the conditional probability at first user under each class of subscriber is greater than predetermined probabilities thresholding, determine that the class of subscriber that this maximal condition probability is corresponding is the targeted customer's classification under first user.If maximal condition probability is not more than predetermined probabilities thresholding, this first user can be given up.Wherein, some user's historical search data are relatively less, the conditional probability of determined this user of historical search data based on this user under each class of subscriber is lower, possibly cannot accurately characterize the affiliated class of subscriber of this user, the present embodiment is by arranging probability threshold, user lower this part corresponding conditional probability can be filtered out, can directly represent this part user's Search Results according to existing mode, do not need Search Results to sort, be conducive to alleviate processing load.
What deserves to be explained is, can adopt the affiliated targeted customer's class method for distinguishing of above-mentioned definite first user, determine other users that belong to this targeted customer's classification.
102, according to each user under above-mentioned targeted customer's classification for the historical search data of the first search word, determine the current click weight corresponding to each object in the first Search Results of the first search word.
First explanation, under targeted customer's classification, each user refers to that for the historical search data of the first search word under targeted customer's classification, each user used the first search word to search for the search data producing before current.The historical search data here also can comprise the information such as search word, the content searching based on search word, search date and user's click or the object of browsing that search is used.
Wherein, in the first Search Results, the click weight of each object has represented that first user clicks the tendency degree of this object to a certain extent.The click weight that is generally an object is larger, and first user point more tends to click this object.
In an optional embodiment, as shown in Figure 3, this embodiment comprises the optional embodiment of one of above-mentioned steps 102:
1021, each user under targeted customer's classification is added up for the historical search data of the first search word, determine under targeted customer's classification that each user is for the session number that in the Search Results of the historical search data of the first search word, each object is corresponding, the weights that afterbody is clicked secondary, total number of clicks and each session;
1022, the weights for session number, afterbody number of clicks, total number of clicks and each session that in the Search Results of the historical search data of the first search word, each object is corresponding according to each user under above-mentioned targeted customer's classification, the click weight of corresponding objects in calculating the first Search Results.
What deserves to be explained is, the session here refers to the complete search procedure of completing user demand, and this search procedure may comprise one or many search behavior.The session number that each object is corresponding refers to that this relates to the number of the session of this object.The weights of each session can obtain in advance, and the present embodiment does not limit concrete acquisition pattern.The afterbody number of clicks that each object is corresponding refers to that this object is positioned at the bottom of Search Results, and the number of times of being clicked by user; Total number of clicks that each object is corresponding refers to the total degree that this object is clicked.
Further, the another kind of embodiment of step 102 as shown in Figure 4, also comprises after step 1022:
1023,, according to the historical search data for the first search word apart from all users in the current preset time, determine the interim correction weights of each object in the first Search Results.
1024, utilize the interim correction weights of each object in the first Search Results, respectively the click weights of each object in the first Search Results are revised.
103,, according to the click weight of each object in the first Search Results, each object in the first Search Results is sorted.
104, each object in the first Search Results after sequence is represented to first user.
After obtaining the click weight of each object in the first Search Results, Search Results exhibiting device can be according to the click weight of each object in the first Search Results, to each object sort (referred to as a tune), before the object that user can be inclined to click by this sorting operation is discharged to, to preferentially show user.For example, Search Results exhibiting device can, according to clicking the descending order of weight, sort to each object.
After sequence, Search Results exhibiting device can show first user by the each object after sequence, and first user can be clicked the information of checking that each object acquisition is required.Due to after sequence, the object that user can be tended to click preferentially shows user, obtains the efficiency of the object that meets demand, and then be conducive to improve search efficiency so can improve user from Search Results.
The schematic flow sheet of the Search Results methods of exhibiting that Fig. 5 provides for another embodiment of the present invention.As shown in Figure 5, the method comprises:
501, determine the affiliated targeted customer's classification of first user that current use the first search word is searched for.
502, according to each user under above-mentioned targeted customer's classification for the historical search data of the first search word, obtain under targeted customer classification distributed intelligence entropy, the click accounting of front three object and the click accounting of types of objects of clicked object in the Search Results of each user for the historical search data of the first search word.
503, according at least one in the distributed intelligence entropy of object clicked in the Search Results of each user for the historical search data of the first search word under above-mentioned targeted customer's classification, the click accounting of front three object and the click accounting of types of objects, determine that the first search word is the search word that need to sort to Search Results.
504, according to each user under above-mentioned targeted customer's classification for the historical search data of the first search word, determine the current click weight corresponding to each object in the first Search Results of the first search word.
505,, according to the click weight of each object in the first Search Results, each object in the first Search Results is sorted.
506, each object in the first Search Results after sequence is represented to first user.
About step 501,504,505 and 506, can embodiment shown in Figure 1 in the description of step 101-104, do not repeat them here.
In the present embodiment, consider some search word to show as demand single, the object that all users click for the Search Results of this class search word is all identical or similar, for example, as the search word of inquiry weather, therefore there is no need the Search Results of this class search word to do personalized differentiation (not needing sequence).For alleviate Search Results exhibiting device processing load, economize on resources, Search Results exhibiting device can be classified to search word, is divided into the search word that need to sort to its Search Results and does not need the search word that its Search Results is sorted.
Based on above-mentioned, the present embodiment before each object sorts in to the first Search Results corresponding to current the first search word, first determines that the first search word is the search word that need to sort to its Search Results.
Concrete, Search Results exhibiting device can be added up for the historical search data of the first search word each user under above-mentioned targeted customer's classification, obtains under targeted customer classification distributed intelligence entropy, the click accounting of front three object and the click accounting of types of objects of clicked object in the Search Results of each user for the historical search data of the first search word.Wherein, the historical search data here comprise Search Results.
The click accounting of above-mentioned front three object refers to the number percent that is positioned at number of times that the object of front three clicked by user under targeted customer's classification in the Search Results of each user for the historical search data of the first search word and takies family and click total degree; The click accounting of above-mentioned types of objects refers to that number of times that the object under different classes of in the Search Results of each user for the historical search data of the first search word under targeted customer's classification is clicked by user takies family and click the number percent of total degree.
Afterwards, Search Results exhibiting device, according at least one in distributed intelligence entropy, the click accounting of front three object and the click accounting of types of objects of clicked object obtaining, determines that the first search word is the search word that need to sort to Search Results.
Concrete, Search Results exhibiting device can be by least one in the click accounting of the click accounting of the distributed intelligence entropy of the clicked object of above-mentioned acquisition, front three object and types of objects, as the parameter of dichotomy, and object using the first search word as dichotomy, the first search word is classified, determine that the first search word is to belong to the search word that need to sort to its Search Results, still belong to and do not need search word that its Search Results is sorted.The present embodiment is judged as the search word that need to sort to its Search Results as example taking the first search word.
Further, do not need if the first search word is judged as search word that its Search Results is sorted, can directly Search Results corresponding the first search word be showed to user.
In the present embodiment, search word is classified, only need, to the search word that need to sort to its Search Results processing of sorting, be conducive to alleviate the processing load of Search Results exhibiting device, economize on resources.
It should be noted that, for aforesaid each embodiment of the method, for simple description, therefore it is all expressed as to a series of combination of actions, but those skilled in the art should know, the present invention is not subject to the restriction of described sequence of movement, because according to the present invention, some step can adopt other orders or carry out simultaneously.Secondly, those skilled in the art also should know, the embodiment described in instructions all belongs to preferred embodiment, and related action and module might not be that the present invention is necessary.
In the above-described embodiments, the description of each embodiment is all emphasized particularly on different fields, in certain embodiment, there is no the part of detailed description, can be referring to the associated description of other embodiment.
The structural representation of the Search Results exhibiting device that Fig. 6 provides for one embodiment of the invention.As shown in Figure 6, this device comprises: class of subscriber determination module 61, click weight determination module 62, order module 63 and display module 64.
Class of subscriber determination module 61, the targeted customer's classification under the first user of searching for for definite current use the first search word.
Click weight determination module 62, be connected with class of subscriber determination module 61, for according to each user under the definite targeted customer's classification of class of subscriber determination module 61 for the historical search data of the first search word, determine the current click weight corresponding to each object in the first Search Results of the first search word.
Order module 63, is connected with click weight determination module 62, for according to the click weight of clicking the definite each object of the first Search Results of weight determination module 62, each object in the first Search Results is sorted.
Display module 64, is connected with order module 63, represents to first user for the each object of the first Search Results after order module 63 is sorted.
In an optional embodiment, class of subscriber determination module 61 specifically can be used for historical search data, the attribute information of first user and/or the information of the end device that first user uses for search word classification under the first search word according to first user, determines targeted customer's classification that first user is affiliated.
Further, class of subscriber determination module 61 specifically can be used for the historical search data for search word classification under the first search word according to first user, determines targeted customer's classification that first user is affiliated.As shown in Figure 7, a kind of implementation structure of class of subscriber determination module 61 comprises: clicking rate determining unit 611, probability obtain unit 612 and class of subscriber determining unit 613.
Clicking rate determining unit 611, for the historical search data for search word classification under the first search word according to first user, determines the object clicking rate of first user for the first search word.
Probability obtains unit 612, be connected with clicking rate determining unit 611, for first user definite clicking rate determining unit 611 is expressed as to the conditional probability model relevant with class of subscriber for the object clicking rate of the first search word, and conditional probability model is solved, obtain the conditional probability of first user under each class of subscriber.
Class of subscriber determining unit 613, obtains unit 612 with probability and is connected, and for obtain the conditional probability of the first user that obtains of unit 612 under each class of subscriber according to probability, determines the targeted customer's classification under first user.
In an optional embodiment, as shown in Figure 7, a kind of implementation structure of clicking weight determination module 62 comprises: parameter determining unit 621 and computing unit 622.
Parameter determining unit 621, for each user under targeted customer's classification is added up for the historical search data of described the first search word, determine under targeted customer's classification that each user is for the weights of session number, afterbody number of clicks, total number of clicks and each session that in the Search Results of the historical search data of the first search word, each object is corresponding.
Computing unit 622, be connected with parameter determining unit 621, for the weights for session number corresponding to the each object of Search Results of the historical search data of the first search word, afterbody number of clicks, total number of clicks and each session according to each user under the definite targeted customer's classification of parameter determining unit 621, calculate the click weight of corresponding objects in the first Search Results.Computing unit 622 is also connected with order module 63.
In an optional embodiment, as shown in Figure 7, this device also comprises: revise weights determination module 65 and correcting module 66.
Revise weights determination module 65, for according to the historical search data for the first search word apart from all users in the current preset time, determine the interim correction weights of each object in the first Search Results.
Correcting module 66, be connected with correction weights determination module 65 and computing unit 622, for utilizing the interim correction weights of revising the definite each object of the first Search Results of weights determination module 65, in the first Search Results respectively computing unit 622 being calculated, the click weights of each object are revised.Correcting module 66 is also connected with order module 63, for provide each object revised click weights to order module 63.
In an optional embodiment, as shown in Figure 7, this device also comprises: gain of parameter module 67 and search word determination module 68.
Gain of parameter module 67, for the historical search data for the first search word according to each user under targeted customer's classification, obtain under targeted customer classification distributed intelligence entropy, the click accounting of front three object and the click accounting of types of objects of clicked object in the Search Results of each user for the historical search data of the first search word.
Search word determination module 68, be connected with gain of parameter module 67, for at least one in distributed intelligence entropy, the click accounting of front three object and the click accounting of types of objects of the clicked object of the Search Results of the historical search data of the first search word, determine that the first search word is the search word that need to sort to Search Results for each user under the targeted customer's classification obtaining according to gain of parameter module 67.Search word determination module 68 is also connected with click weight determination module 62, for providing determined the first search word whether to need the result of the search word that Search Results is sorted to clicking weight determination module 62.
The Search Results exhibiting device that the present embodiment provides, by the user who uses search word to search for is classified, the first user that current use the first search word is searched for, determine targeted customer's classification that first user is affiliated, use under this targeted customer's classification each user for the historical search data of the first search word, determine the current click weight corresponding to each object in the Search Results of the first search word, click weight according to each object sorts to each object, and the each object after sequence is represented to first user.The Search Results exhibiting device that the present embodiment provides is classified user, for every class user, each object in Search Results is sorted, making in Search Results each object to click tendency according to such user represents successively, user can obtain satisfactory object in time from Search Results like this, and then is conducive to improve search efficiency.
Those skilled in the art can be well understood to, for convenience and simplicity of description, the system of foregoing description, the specific works process of device and unit, can, with reference to the corresponding process in preceding method embodiment, not repeat them here.
In several embodiment provided by the present invention, should be understood that, disclosed system, apparatus and method, can realize by another way.For example, device embodiment described above is only schematic, for example, the division of described unit, be only that a kind of logic function is divided, when actual realization, can have other dividing mode, for example multiple unit or assembly can in conjunction with or can be integrated into another system, or some features can ignore, or do not carry out.Another point, shown or discussed coupling each other or direct-coupling or communication connection can be by some interfaces, indirect coupling or the communication connection of device or unit can be electrically, machinery or other form.
The described unit as separating component explanation can or can not be also physically to separate, and the parts that show as unit can be or can not be also physical locations, can be positioned at a place, or also can be distributed in multiple network element.Can select according to the actual needs some or all of unit wherein to realize the object of the present embodiment scheme.
In addition, the each functional unit in each embodiment of the present invention can be integrated in a processing unit, can be also that the independent physics of unit exists, and also can be integrated in a unit two or more unit.Above-mentioned integrated unit both can adopt the form of hardware to realize, and the form that also can adopt hardware to add SFU software functional unit realizes.
The integrated unit that the above-mentioned form with SFU software functional unit realizes, can be stored in a computer read/write memory medium.Above-mentioned SFU software functional unit is stored in a storage medium, comprise that some instructions (can be personal computers in order to make a computer installation, server, or network equipment etc.) or processor (processor) carry out the part steps of method described in each embodiment of the present invention.And aforesaid storage medium comprises: USB flash disk, portable hard drive, ROM (read-only memory) (Read-Only Memory, ROM), the various media that can be program code stored such as random access memory (Random Access Memory, RAM), magnetic disc or CD.
Finally it should be noted that: above embodiment only, in order to technical scheme of the present invention to be described, is not intended to limit; Although the present invention is had been described in detail with reference to previous embodiment, those of ordinary skill in the art is to be understood that: its technical scheme that still can record aforementioned each embodiment is modified, or part technical characterictic is wherein equal to replacement; And these amendments or replacement do not make the essence of appropriate technical solution depart from the spirit and scope of various embodiments of the present invention technical scheme.
Claims (14)
1. a Search Results methods of exhibiting, is characterized in that, comprising:
Determine the affiliated targeted customer's classification of first user that current use the first search word is searched for;
For the historical search data of described the first search word, determine the current click weight corresponding to each object in the first Search Results of described the first search word according to each user under described targeted customer's classification;
According to the click weight of each object in described the first Search Results, each object in described the first Search Results is sorted;
Each object in described the first Search Results after sequence is represented to described first user.
2. method according to claim 1, is characterized in that, the described affiliated targeted customer's classification of first user of determining that current use the first search word is searched for, comprising:
The information of the end device using for attribute information and/or the described first user of the historical search data of search word classification under described the first search word, described first user according to described first user, determines targeted customer's classification that described first user is affiliated.
3. method according to claim 2, is characterized in that, described according to the historical search data of described first user, determines targeted customer's classification that described first user is affiliated, comprising:
Historical search data according to described first user for search word classification under described the first search word, determine the object clicking rate of described first user for described the first search word;
Described first user is expressed as to the conditional probability model relevant with class of subscriber for the object clicking rate of described the first search word;
Described conditional probability model is solved, obtain the conditional probability of described first user under each class of subscriber;
Conditional probability according to described first user under each class of subscriber, determines targeted customer's classification that described first user is affiliated.
4. method according to claim 3, is characterized in that, described according to described first user the conditional probability under each class of subscriber, determine the targeted customer's classification under described first user, comprising:
When maximal condition probability in conditional probability at described first user under each class of subscriber is greater than predetermined probabilities thresholding, determine that the class of subscriber that described maximal condition probability is corresponding is the targeted customer's classification under described first user.
5. according to the method described in claim 1-4 any one, it is characterized in that, described according to each user under described targeted customer's classification for the historical search data of described the first search word, determine the current click weight corresponding to each object in the first Search Results of described the first search word, comprising:
Each user under described targeted customer's classification is added up for the historical search data of described the first search word, determine under described targeted customer's classification that each user is for the weights of session number, afterbody number of clicks, total number of clicks and each session that in the Search Results of the historical search data of described the first search word, each object is corresponding;
Weights according to each user under described targeted customer's classification for session number that in the Search Results of the historical search data of described the first search word, each object is corresponding, afterbody number of clicks, total number of clicks and each session, calculate the click weight of corresponding objects in described the first Search Results.
6. method according to claim 5, is characterized in that, also comprises:
According to the historical search data for described the first search word apart from all users in the current preset time, determine the interim correction weights of each object in described the first Search Results;
Utilize the interim correction weights of each object in described the first Search Results, respectively the click weights of each object in described the first Search Results are revised.
7. according to the method described in claim 1-4 any one, it is characterized in that, described according to each user under described targeted customer's classification for the historical search data of described the first search word, before determining the current click weight corresponding to each object in the first Search Results of described the first search word, comprising:
For the historical search data of described the first search word, obtain under described targeted customer's classification the distributed intelligence entropy of clicked object, the click accounting of front three object and the click accounting of types of objects in the Search Results of each user for the historical search data of described the first search word according to each user under described targeted customer's classification;
According at least one in the distributed intelligence entropy of object clicked in the Search Results of each user for the historical search data of described the first search word under described targeted customer's classification, the click accounting of front three object and the click accounting of types of objects, determine that described the first search word is the search word that need to sort to Search Results.
8. a Search Results exhibiting device, is characterized in that, comprising:
Class of subscriber determination module, the targeted customer's classification under the first user of searching for for definite current use the first search word;
Click weight determination module, for according to each user under described targeted customer's classification for the historical search data of described the first search word, determine the current click weight corresponding to each object in the first Search Results of described the first search word;
Order module, for according to the click weight of the each object of described the first Search Results, sorts to each object in described the first Search Results;
Display module, for representing the each object of described the first Search Results after sequence to described first user.
9. device according to claim 8, it is characterized in that, described class of subscriber determination module, specifically for the information for the attribute information of the historical search data of search word classification under described the first search word, described first user and/or the end device of described first user use according to described first user, is determined targeted customer's classification that described first user is affiliated.
10. device according to claim 8, is characterized in that, described class of subscriber determination module comprises:
Clicking rate determining unit, for the historical search data for search word classification under described the first search word according to described first user, determines the object clicking rate of described first user for described the first search word;
Probability obtains unit, for described first user is expressed as to the conditional probability model relevant with class of subscriber for the object clicking rate of described the first search word, and described conditional probability model is solved, obtain the conditional probability of described first user under each class of subscriber;
Class of subscriber determining unit, for the conditional probability under each class of subscriber according to described first user, determines targeted customer's classification that described first user is affiliated.
11. devices according to claim 10, it is characterized in that, when described class of subscriber determining unit is greater than predetermined probabilities thresholding specifically for the maximal condition probability in the conditional probability under each class of subscriber at described first user, determine that the class of subscriber that described maximal condition probability is corresponding is the targeted customer's classification under described first user.
Device described in 12. according to Claim 8-11 any one, is characterized in that, described click weight determination module comprises:
Parameter determining unit, for each user under described targeted customer's classification is added up for the historical search data of described the first search word, determine under described targeted customer's classification that each user is for the weights of session number, afterbody number of clicks, total number of clicks and each session that in the Search Results of the historical search data of described the first search word, each object is corresponding;
Computing unit, for the weights for session number corresponding to the each object of Search Results of the historical search data of described the first search word, afterbody number of clicks, total number of clicks and each session according to each user under described targeted customer's classification, calculate the click weight of corresponding objects in described the first Search Results.
13. devices according to claim 12, is characterized in that, also comprise:
Revise weights determination module, for according to the historical search data for described the first search word apart from all users in the current preset time, determine the interim correction weights of each object in described the first Search Results;
Correcting module, for utilizing the interim correction weights of the each object of described the first Search Results, revises the click weights of each object in described the first Search Results respectively.
Device described in 14. according to Claim 8-11 any one, is characterized in that, also comprises:
Gain of parameter module, for according to each user under described targeted customer's classification for the historical search data of described the first search word, obtain under described targeted customer's classification the distributed intelligence entropy of clicked object, the click accounting of front three object and the click accounting of types of objects in the Search Results of each user for the historical search data of described the first search word;
Search word determination module, for according to each user under described targeted customer's classification at least one in distributed intelligence entropy, the click accounting of front three object and the click accounting of types of objects of the clicked object of the Search Results of the historical search data of described the first search word, determine that described the first search word is the search word that need to sort to Search Results.
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