CN106095867A - A kind of book recommendation method based on industry analysis and device - Google Patents
A kind of book recommendation method based on industry analysis and device Download PDFInfo
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Abstract
The invention provides a kind of book recommendation method based on industry analysis and device, the method includes: when receiving the Books Search the comprising search word request from search user, obtain the historical behavior data of search user；Analyze the historical behavior data of search user, and determine search industry belonging to user；In the user the pre-build corresponding relation with trade information, search and search for one or more coupling users that industry belonging to user is mated；Obtain the reading of one or more coupling user and/or buy books record；Reading and/or the purchase books record of one or more coupling users are combined in the search results pages that search word is corresponding, and recommend search user as Recommended Books.The method that the embodiment of the present invention provides can be that search user recommends more targeted books, has saved search user and has selected the time of suitable books in the books of magnanimity, has improve the experience of user.
Description
Technical field
The present invention relates to computer network field, particularly relate to a kind of book recommendation method based on industry analysis and dress
Put.
Background technology
Along with the development of Internet technology, the Internet have become as people's daily life, working and learning can not or
The part lacked.Particularly, the development of ecommerce in recent years is particularly rapid, makes people just can realize easily without going out
Shopping online, such as at online purchase books.Although net purchase books eliminate user go out into entity bookstore buy books time
Between, but, user can not facilitate, check intuitively the content of books on the net, and title also can not represent books completely
Content, the books that easily generation user has bought are not suitable for the problem oneself read, and therefore, the recommendation of books just seems the heaviest
Want.
At present, most of existing book recommendation modes all compare trend towards recommending some to be in great demand for user, popular or
The books of up-to-date publication, and these books are not necessarily suitable for user and read, so, in the face of a large amount of books recommended, user is still
So cannot find the books oneself needed.Therefore, how books targetedly are recommended according to being actually needed of user for user
Necessary.
Summary of the invention
In view of the above problems, it is proposed that the present invention in case provide one overcome the problems referred to above or at least in part solve on
State book recommendation method based on industry analysis and the device of problem.
According to one aspect of the present invention, it is provided that a kind of book recommendation method based on industry analysis, including:
When receiving the Books Search the comprising search word request from search user, obtain going through of described search user
History behavioral data；
Analyze the historical behavior data of described search user, and determine described search industry belonging to user；
In the corresponding relation of the user pre-build and trade information, search and search for industry belonging to user mate with described
One or more coupling users；
Obtain the reading of the one or more coupling user and/or buy books record；
By the reading of the one or more coupling user and/or buy books record to be combined to described search word corresponding
In search results pages, and recommend described search user as Recommended Books.
Alternatively, described historical behavior data include at least one following:
User's registration information, history input information, navigation patterns information, purchasing behavior information, collection behavioural information, evaluation
Information.
Alternatively, described method also includes: set up the corresponding relation of multiple user and the plurality of user's trade information.
Alternatively, the described corresponding relation setting up multiple user and the plurality of user's trade information, including:
Collect the multiple users on books platform, obtain the historical behavior data of each user in the plurality of user；
Analyze the historical behavior data of each user in the plurality of user, and determine industry and institute belonging to described each user
Belong to the trade information of industry；
According to the trade information of industry belonging to described each user and each user, set up user's trade information list, by described
The corresponding relation of the trade information of each user and each user is stored in described user's trade information list.
Alternatively, the described corresponding relation setting up multiple user and the plurality of user's trade information, including:
Collect the multiple users in the circle of friends of described search user, obtain the history row of each user in the plurality of user
For data；
Analyze the historical behavior data of each user in the plurality of user, and determine industry and institute belonging to described each user
Belong to the trade information of industry；
According to the trade information of industry belonging to described each user and each user, set up user's trade information list, by described
The corresponding relation of the trade information of each user and each user is stored in described user's trade information list.
Alternatively, the circle of friends of described search user includes: the various social activities registering use described search user are soft
Part there is individual or the group of mutual-action behavior with described search user.
Alternatively, described user's trade information list also includes: the reading of each user and/or purchase in the plurality of user
Buy books record.
Alternatively, the reading of the one or more coupling user of described acquisition and/or purchase books record, including:
From described user's trade information list, obtain the reading of the one or more coupling user and/or buy books
Record.
Alternatively, the reading of the one or more coupling user of described acquisition and/or purchase books record, also include:
Obtain the reading relevant to described search word of the one or more coupling user and/or buy books record.
Alternatively, reading and/or the purchase books record of the one or more coupling user are combined to described search
In the search results pages that word is corresponding, and recommend described search user as Recommended Books, including:
By the reading of the one or more coupling user and/or buy the books corresponding to books record and be divided into multiple
Grade；
By the reading of the one or more coupling user and/or buy books record, according to books divide multiple etc.
Level is combined in the search results pages that described search word is corresponding, and recommends described search user as Recommended Books.
Alternatively, books are divided into multiple grade to include: according to the title of each books described each books are divided into into
Gate leve books, promote level books and present briefly and succinctly grade books.
According to another aspect of the present invention, additionally provide a kind of book recommendation device based on industry analysis, including:
First acquisition module, is suitable to, when receiving the Books Search the comprising search word request from search user, obtain
Take the historical behavior data of described search user；
Analyze module, be suitable to analyze the historical behavior data of described search user, and determine belonging to described search user
Industry；
Search module, be suitable in the user the pre-build corresponding relation with trade information, search and use with described search
One or more coupling users of industry coupling belonging to family；
Second acquisition module, is suitable to obtain the reading of the one or more coupling user and/or buy books record；
Recommending module, is suitable to reading and/or the purchase books record of the one or more coupling user are combined to institute
State in the search results pages that search word is corresponding, and recommend described search user as Recommended Books.
Alternatively, described historical behavior data include at least one following:
User's registration information, history input information, navigation patterns information, purchasing behavior information, collection behavioural information, evaluation
Information.
Alternatively, described device also includes:
Set up corresponding relation module, be adapted to set up the corresponding relation of multiple user and the plurality of user's trade information.
Alternatively, described corresponding relation module of setting up is further adapted for:
Collect the multiple users on books platform, obtain the historical behavior data of each user in the plurality of user；
Analyze the historical behavior data of each user in the plurality of user, and determine industry and institute belonging to described each user
Belong to the trade information of industry；
According to the trade information of industry belonging to described each user and each user, set up user's trade information list, by described
The corresponding relation of the trade information of each user and each user is stored in described user's trade information list.
Alternatively, described corresponding relation module of setting up is further adapted for:
Collect the multiple users in the circle of friends of described search user, obtain the history row of each user in the plurality of user
For data；
Analyze the historical behavior data of each user in the plurality of user, and determine industry and institute belonging to described each user
Belong to the trade information of industry；
According to the trade information of industry belonging to described each user and each user, set up user's trade information list, by described
The corresponding relation of the trade information of each user and each user is stored in described user's trade information list.
Alternatively, the circle of friends the described search user set up in corresponding relation module includes: use in described search
The various social software that family registration uses there is individual or the group of mutual-action behavior with described search user.
Alternatively, also include in the described described user's trade information list set up in corresponding relation module: described many
In individual user each user reading and/or buy books record.
Alternatively, described second acquisition module is further adapted for:
From described user's trade information list, obtain the reading of the one or more coupling user and/or buy books
Record.
Alternatively, described second acquisition module is further adapted for:
Obtain the reading relevant to described search word of the one or more coupling user and/or buy books record.
Alternatively, described recommending module is further adapted for:
By the reading of the one or more coupling user and/or buy the books corresponding to books record and be divided into multiple
Grade；
Multiple grades that reading and/or the purchase books record of the one or more coupling user are divided according to books
It is combined in the search results pages that described search word is corresponding, and recommends described search user as Recommended Books.
Alternatively, described recommending module is further adapted for:
Described each books are divided into entry level books according to the title of each books, promote level books and present briefly and succinctly grade books.
In embodiments of the present invention, when receiving the Books Search the comprising search word request from search user, first
First obtain the historical behavior data of search user, and the historical behavior data of the search user got are analyzed, with really
Make search industry belonging to user and the relevant information of affiliated industry.Then in the user pre-build and trade information
In corresponding relation, search and search for one or more coupling users that industry belonging to user is mated.And then obtain one or more
The reading of coupling user and/or purchase books record, and by one or more readings mating users and/or purchase books record
It is combined in the search results pages that search word is corresponding, recommends search user as Recommended Books.As can be seen here, search for as user
During books, the embodiment of the present invention can determine the industry belonging to user by the historical behavior data analyzing search user, enters
And search other users of the same trade with search user, and the book recommendation other users read and/or bought is to search
User, thus recommend to be more suitable for searching for the books that user reads for search user.Especially, when search user is the most clearly
In the case of reading or buying target, the method using the embodiment of the present invention to provide can be to search for user to recommend more targeted
Books, saved search user and selected time of suitable books, to improve the experience of user in the books of magnanimity.
Further, the embodiment of the present invention, when for search user's Recommended Books, can first be used recommending search
The books at family are divided into different grades, and then are search user's Recommended Books according to different brackets.Such as, according to the difficulty of books
Easily Recommended Books are divided into entry level books, promote level books and present briefly and succinctly grade books by degree, it is possible to use family is quickly and easily
Select the applicable books oneself read, effectively save user's selection time to Recommended Books.
Described above is only the general introduction of technical solution of the present invention, in order to better understand the technological means of the present invention,
And can be practiced according to the content of description, and in order to allow above and other objects of the present invention, the feature and advantage can
Become apparent, below especially exemplified by the detailed description of the invention of the present invention.
According to below in conjunction with the accompanying drawing detailed description to the specific embodiment of the invention, those skilled in the art will be brighter
Above-mentioned and other purposes, advantage and the feature of the present invention.
Accompanying drawing explanation
By reading the detailed description of hereafter preferred implementation, various other advantage and benefit common for this area
Technical staff will be clear from understanding.Accompanying drawing is only used for illustrating the purpose of preferred implementation, and is not considered as the present invention
Restriction.And in whole accompanying drawing, it is denoted by the same reference numerals identical parts.In the accompanying drawings:
Fig. 1 is the schematic flow sheet of based on industry analysis according to an embodiment of the invention book recommendation method；
Fig. 2 is the schematic flow sheet of based on industry analysis in accordance with another embodiment of the present invention book recommendation method；
Fig. 3 is the signal of the searched page of based on industry analysis according to an embodiment of the invention book recommendation method
Figure；
Fig. 4 is the structural representation of based on industry analysis according to an embodiment of the invention book recommendation device；With
And
Fig. 5 is the structural representation of based on industry analysis in accordance with another embodiment of the present invention book recommendation device.
Detailed description of the invention
It is more fully described the exemplary embodiment of the disclosure below with reference to accompanying drawings.Although accompanying drawing shows the disclosure
Exemplary embodiment, it being understood, however, that may be realized in various forms the disclosure and should be by embodiments set forth here
Limited.On the contrary, it is provided that 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.
For solving above-mentioned technical problem, the invention provides a kind of book recommendation method based on industry analysis, the method
Can apply to books buy in platform, books reading platform or various search browser.Fig. 1 is according to one reality of the present invention
Execute the schematic flow sheet of the book recommendation method based on industry analysis of example.Seeing Fig. 1, the method at least can include step
S102 is to step S110.
Step S102, when receiving the Books Search the comprising search word request from search user, obtains search and uses
The historical behavior data at family.
In this step, the historical behavior data of search user can include user's registration information, history input information, clear
Look at behavioural information, purchasing behavior information, collection behavioural information, evaluation information etc., the invention is not restricted to this.
Step S104, analyzes the historical behavior data of search user, and determines search industry belonging to user.
Step S106, in the user the pre-build corresponding relation with trade information, searches and searches for row belonging to user
One or more coupling users of industry coupling.
Step S108, obtains the reading of one or more coupling user and/or buys books record.
Step S110, is combined to search word correspondence by reading and/or the purchase books record of one or more coupling users
Search results pages in, and as Recommended Books recommend search user.
In this step, possesses certain ginseng due to reading and/or the purchase books record of one or more coupling users
The property examined, is recommended search user and is had more specific aim so that search user can be got the books of oneself demand.
In embodiments of the present invention, when receiving the Books Search the comprising search word request from search user, first
First obtain the historical behavior data of search user, and the historical behavior data of the search user got are analyzed, with really
Make search industry belonging to user and the relevant information of affiliated industry.Then in the user pre-build and trade information
In corresponding relation, search and search for one or more coupling users that industry belonging to user is mated.And then obtain one or more
The reading of coupling user and/or purchase books record, and by one or more readings mating users and/or purchase books record
It is combined in the search results pages that search word is corresponding, recommends search user as Recommended Books.As can be seen here, search for as user
During books, the embodiment of the present invention can determine the industry belonging to user by the historical behavior data analyzing search user, enters
And search other users of the same trade with search user, and the book recommendation other users read and/or bought is to search
User, thus recommend to be more suitable for searching for the books that user reads for search user.Especially, when search user is the most clearly
In the case of reading or buying target, the method using the embodiment of the present invention to provide can be to search for user to recommend more targeted
Books, saved search user and selected time of suitable books, to improve the experience of user in the books of magnanimity.
Above step S106 is mentioned, in the corresponding relation of the user pre-build and trade information, search with
One or more coupling users of industry coupling belonging to search user, here it is possible to first set up multiple user with the plurality of in advance
The corresponding relation of user's trade information, in order to search user searches and search for that industry belonging to user is mated one or more
Adapted family.
In an alternate embodiment of the present invention, by collecting the multiple users on books platform, obtain in multiple user each
The historical behavior data of user.And then, analyze the historical behavior data of each user in multiple user, and determine row belonging to each user
Industry and the trade information of affiliated industry.Finally, according to the trade information of industry belonging to each user and each user, user's row is set up
Industry information list, is stored in the corresponding relation of each user and the trade information of each user in user's trade information list.It addition,
The reading of user each in multiple users and/or purchase books record can also be stored in the trade information list of user, with
Facilitate follow-up for search user's Recommended Books.
Books platform mentioned above can be that books buy platform, such as Amazon, Dangdang.com, Taobao, Jingdone district business
City etc.；Can also be books reading platform, such as digital library's mobile reading platform etc..Collect the multiple use on books platform
Family, can collect multiple user by collecting the ID (mark) of the login user on each books platform, and then according to receiving
Collect to the ID of each login user obtain the historical behavior data of each user, and according to the historical behavior number of each user
According to determining industry belonging to user and the trade information of affiliated industry.Historical behavior data can include, user's registration information,
History input information, navigation patterns information, purchasing behavior information, collection behavioural information, evaluation information etc..Certainly, if permissible
Determine that the historical behavior data of the trade information of the industry belonging to user and affiliated industry broadly fall into scope
Within, it is not specifically limited at this.Additionally, use right by user and user's trade information of the mode of user's trade information list
Should be related to and store, can make search with search user belonging to industry mate one or more mate user time more accelerate
Prompt.
In another alternative embodiment of the present invention, by collecting the multiple users in the circle of friends searching for user, acquisition is many
The historical behavior data of each user in individual user.And then, analyze the historical behavior data of each user in multiple user, and determine each
Industry belonging to user and the trade information of affiliated industry.Finally, according to the trade information of industry belonging to each user and each user,
Set up user's trade information list, the corresponding relation of each user and the trade information of each user is stored in user's trade information row
In table.The circle of friends of search user includes, has with search user in search user registers the various social software of use
The individual of mutual-action behavior or group, such as, the search QQ good friend of user, wechat good friend, microblogging vermicelli, microblogging are paid close attention to and search
The QQ group of rope user addition, QQ discussion group, wechat group etc..Furthermore it is also possible to by the reading of user each in multiple users and/
Or purchase books record is stored in the trade information list of user, follow-up for search user's Recommended Books to facilitate.
See above step S108 and step S110, if the user of storage is search user in user's trade information list
User in circle of friends, when find from user's trade information list with search for one or more users that user mates it
After.Obtain the reading of one or more coupling user and/or buy books record, and by the reading of one or more coupling users
And/or purchase books record is combined in the search results pages that search word is corresponding, and recommend search user as Recommended Books.
Due to the user in the circle of friends of search user, great majority are relatively intimate with the relations of search user, have common emerging
Interest hobby.Therefore, the multiple users from the circle of friends of search user find mate with the industry searched for belonging to user
User, and the reading of the user of the same trade mutually with search user coupling obtained and/or purchaser record be supplied to search for user,
The books recommending search user can be made to be more suitable for searching for user read, more meet hobby and the reading of search user
Custom.
With continued reference to above step S108, in an alternate embodiment of the present invention, if user's trade information list is also wrapped
Include each user in multiple user reading and/or buy books record, obtain one or more coupling user reading and/
Or when buying books record, the reading of one or more coupling user can be obtained from user's trade information list and/or purchase
Buy books record.
Present invention also offers another kind of book recommendation method based on industry analysis, the method can according to books etc.
Level is user's Recommended Books, and the method can apply to books purchase platform, books reading platform or various search and browses
In device.Fig. 2 is the schematic flow sheet of based on industry analysis in accordance with another embodiment of the present invention book recommendation method.See
Fig. 2, the method at least can include that step S202 is to step S212.
Step S202, when receiving the Books Search the comprising search word request from search user, obtains search and uses
The historical behavior data at family.
In this step, the historical behavior data of search user can include user's registration information, history input information, clear
Look at behavioural information, purchasing behavior information, collection behavioural information, evaluation information etc., the invention is not restricted to this.
Step S204, analyzes the historical behavior data of search user, and determines search industry belonging to user.
Step S206, in the user the pre-build corresponding relation with trade information, searches and searches for row belonging to user
One or more coupling users of industry coupling.
In this step, the industry such as searching for user is IT industry, then from by the user pre-build and trade information
Corresponding relation in, search and belong to one or more user of IT industry.
Step S208, obtains the reading of one or more coupling user and/or buys books record.
In this step, obtain the reading of one or more coupling user and/or buy books record, acquired reading
And/or purchaser record can be relevant to the search word of search user's input, it is also possible to unrelated with the search word of search user's input.
When search word of the user's reading got and/or this input of purchaser record and search user is relevant, such as, search user belongs to
In IT industry, and the search word of search user's input is " C language explanation ", then can obtain and belong to other users of IT industry and read
The books about " C language explanation " read and/or bought.
Step S210, by the books division corresponding to one or more readings mating users and/or purchase books record
Become multiple grade.
In this step, books are divided into multiple grade can be according to the complexity of books, according to the name of each books
Claim each books to be divided into entry level books, promotes level books and present briefly and succinctly grade books.Can also be according to the title of books, by books
It is divided into theoretical class books, mode of operation class books, the books of theory and combining practical manner class.
Step S212, by reading and/or the purchase books record of one or more coupling users, divides many according to books
Individual grade is combined in the search results pages that search word is corresponding, and recommends search user as Recommended Books.
In this step, the books recommended can be shown in Search Results downside also, or search results pages
Left side or right side, the present invention shows that to Recommended Books concrete restriction is not done in position.
In embodiments of the present invention, by first the books that will recommend search user being divided into different grades, enter
And be search user's Recommended Books according to different brackets.User can be made to select the applicable figure oneself read quickly and easily
Book, has saved user's selection time to Recommended Books effectively.
In order to more clearly embody the embodiment of the present invention, now with a specific embodiment, the present invention is realized process and enter
Row is discussed in detail.
The embodiment of the present invention belongs to IT industry with search user, and search user buys search graph on platform at books
As a example by book.See Fig. 3, when searching for user and inputting " books of software test class " in the search box of platform bought by books, be
First system obtains the historical behavior data of search user, determines search user by the historical behavior data analyzing search user
Belong to IT industry, then in the user the pre-build corresponding relation with trade information, find the user belonging to IT industry
A, user B and user C, respectively according to historical behavior data acquisition user A, the user B and user C of user A, user B and user C
The reading closed with " books of software test class " and/or buy books record, such as, the browing record getting user A is
" study course of software test basis ", " software testing technology: test based on case " and " software test is from here on ", user B
Purchaser record be " software test under battle conditions test Web MSN " and " software engineer's interview guide ", the purchase of user C
It is recorded as " being proficient in mobile App test under battle conditions: technology, instrument and case " and " is proficient in software performance test and LoadRunner
Good actual combat ", by the complexity according to books, according to the title of each books, each books are divided into: entry level books, including
" study course of software test basis ", " software test is from here on " and " software engineer's interview guide "；Promote level books,
Including " software test under battle conditions test Web MSN ", " software testing technology: test based on case " with " software testing technology is big
Complete: test basis, popular tool, project are under battle conditions "；Present briefly and succinctly grade books, including " being proficient in mobile App test under battle conditions: technology, instrument
And case " and " being proficient in software performance test and the optimal actual combat of LoadRunner ".By according to the Recommended Books after grade classification with
The Search Results of books combines in current search results pages, in this embodiment, it is recommended that books show at Search Results
In the display window of page lower end, and the books of same levels are positioned in identical display window, and different grades of books are positioned at not
In same display window, and then it is shown to the books of recommendation search for user.In actual applications, it is recommended that books can also show
Show in the positions such as the right side of search results pages or left side, the invention is not limited in this regard.
Based on same inventive concept, present invention also offers a kind of book recommendation device based on industry analysis, this device
Can apply to books buy in platform, books reading platform or various search browser.Fig. 4 is according to one reality of the present invention
Execute the structural representation of the book recommendation device based on industry analysis of example.Seeing Fig. 4, book recommendation based on industry analysis fills
Put 400 at least can include the first acquisition module 410, analyze module 420, search module the 430, second acquisition module 440 and
Recommending module 450.
Now introduce each composition or the function of device of the book recommendation device 400 based on industry analysis of the embodiment of the present invention
And the annexation between each several part:
First acquisition module 410, is suitable to when receiving the Books Search the comprising search word request from search user,
Obtain the historical behavior data of search user；
Analyze module 420, couple with the first acquisition module 410, be suitable to analyze the historical behavior data of search user, and really
Surely search industry belonging to user；
Search module 430, couple with analyzing module 420, be suitable in the user pre-build pass corresponding with trade information
In system, search and search for one or more coupling users that industry belonging to user is mated；
Second acquisition module 440, couples with searching module 430, be suitable to obtain one or more coupling user reading and/
Or buy books record；
Recommending module 450, couples with the second acquisition module 440, be suitable to by one or more coupling users readings and/or
Buy books record to be combined in the search results pages that search word is corresponding, and recommend search user as Recommended Books.
In an embodiment of the present invention, historical behavior data include at least one following, and user's registration information, history input
Information, navigation patterns information, purchasing behavior information, collection behavioural information, evaluation information.
In an embodiment of the present invention, the second acquisition module 440 is further adapted for, obtain one or more coupling user with search
Reading that rope word is relevant and/or buy books record.
In an embodiment of the present invention, it is recommended that module 450 is further adapted for, first, by the reading of one or more coupling users
And/or the books that purchase is corresponding to books record are divided into multiple grade.Then, by the reading of one or more coupling users
And/or multiple grades that purchase books record divides according to books are combined in the search results pages that search word is corresponding, and conduct
Recommended Books recommend search user.
In an embodiment of the present invention, it is recommended that module 450 is further adapted for, according to the title of each books each books are divided into into
Gate leve books, promote level books and present briefly and succinctly grade books.
Present invention also offers another kind of book recommendation device based on industry analysis, this device can apply to books and purchases
Buy in platform, books reading platform and various search browser.Fig. 5 is in accordance with another embodiment of the present invention based on industry
The structural representation of the book recommendation device analyzed.Seeing Fig. 5, book recommendation device of based on industry analysis 400 is except including
The first acquisition module 410, analysis module 420, lookup module the 430, second acquisition module 440 and recommendation in above-described embodiment
Outside module 450, also include setting up corresponding relation module 460.
Set up corresponding relation module 460, couple with searching module 430, be adapted to set up multiple user and multiple user's industries
The corresponding relation of information.
In an embodiment of the present invention, set up corresponding relation module 460 and be further adapted for, first, collect on books platform many
Individual user, obtains the historical behavior data of each user in multiple user.Then, the historical behavior of each user in multiple user is analyzed
Data, and determine industry belonging to each user and the trade information of affiliated industry.Finally, according to row belonging to each user and each user
The trade information of industry, sets up user's trade information list, is stored in by the corresponding relation of each user and the trade information of each user
In user's trade information list.
In an alternative embodiment of the invention, set up corresponding relation module 460 and be further adapted for, first, collect the friend of search user
Multiple users in friend's circle, obtain the historical behavior data of each user in multiple user.Then, each user in multiple user is analyzed
Historical behavior data, and determine industry belonging to each user and the trade information of affiliated industry.Finally, according to each user with each
The trade information of industry belonging to user, sets up user's trade information list, by each user and the correspondence of the trade information of each user
Relation is stored in user's trade information list.
In an embodiment of the present invention, the circle of friends of the search user in setting up corresponding relation module 460 includes,
Search user registers individual or the group having mutual-action behavior in the various social softwares of use with search user.
In an embodiment of the present invention, the user's trade information list in setting up corresponding relation module 460 also includes,
In multiple users each user reading and/or buy books record.
In an embodiment of the present invention, the second acquisition module 440 is further adapted for, and obtains one from user's trade information list
Or multiple coupling user reading and/or buy books record.
According to any one preferred embodiment above-mentioned or the combination of multiple preferred embodiment, the embodiment of the present invention can reach
Following beneficial effect:
In embodiments of the present invention, when receiving the Books Search the comprising search word request from search user, first
First obtain the historical behavior data of search user, and the historical behavior data of the search user got are analyzed, with really
Make search industry belonging to user and the relevant information of affiliated industry.Then in the user pre-build and trade information
In corresponding relation, search and search for one or more coupling users that industry belonging to user is mated.And then obtain one or more
The reading of coupling user and/or purchase books record, and by one or more readings mating users and/or purchase books record
It is combined in the search results pages that search word is corresponding, recommends search user as Recommended Books.As can be seen here, search for as user
During books, the embodiment of the present invention can determine the industry belonging to user by the historical behavior data analyzing search user, enters
And search other users of the same trade with search user, and the book recommendation other users read and/or bought is to search
User, thus recommend to be more suitable for searching for the books that user reads for search user.Especially, when search user is the most clearly
In the case of reading or buying target, the method using the embodiment of the present invention to provide can be to search for user to recommend more targeted
Books, saved search user and selected time of suitable books, to improve the experience of user in the books of magnanimity.
Further, the embodiment of the present invention, when for search user's Recommended Books, can first be used recommending search
The books at family are divided into different grades, and then are search user's Recommended Books according to different brackets.Such as, according to the difficulty of books
Easily Recommended Books are divided into entry level books, promote level books and present briefly and succinctly grade books by degree, it is possible to use family is quickly and easily
Select the applicable books oneself read, effectively save user's selection time to Recommended Books.
In description mentioned herein, illustrate a large amount of detail.It is to be appreciated, however, that the enforcement of the present invention
Example can be put into practice in the case of not having these details.In some instances, it is not shown specifically known method, structure
And technology, in order to do not obscure the understanding of this description.
Similarly, it will be appreciated that one or more in order to simplify that the disclosure helping understands in each inventive aspect, exist
Above in the description of the exemplary embodiment of the present invention, each feature of the present invention is grouped together into single enforcement sometimes
In example, figure or descriptions thereof.But, the method for the disclosure should not be construed to reflect an intention that i.e. required guarantor
The application claims feature more more than the feature being expressly recited in each claim protected.More precisely, as following
Claims reflected as, inventive aspect is all features less than single embodiment disclosed above.Therefore,
The claims following detailed description of the invention are thus expressly incorporated in this detailed description of the invention, the most each claim itself
All as the independent embodiment of the present invention.
Those skilled in the art are appreciated that and can carry out the module in the equipment in embodiment adaptively
Change and they are arranged in one or more equipment different from this embodiment.Can be the module in embodiment or list
Unit or assembly are combined into a module or unit or assembly, and can put them in addition multiple submodule or subelement or
Sub-component.In addition at least some in such feature and/or process or unit excludes each other, can use any
Combine all features disclosed in this specification (including adjoint claim, summary and accompanying drawing) and so disclosed appoint
Where method or all processes of equipment or unit are combined.Unless expressly stated otherwise, this specification (includes adjoint power
Profit requires, summary and accompanying drawing) disclosed in each feature can be carried out generation by providing identical, equivalent or the alternative features of similar purpose
Replace.
Although additionally, it will be appreciated by those of skill in the art that embodiments more described herein include other embodiments
Some feature included by rather than further feature, but the combination of the feature of different embodiment means to be in the present invention's
Within the scope of and form different embodiments.Such as, in detail in the claims, embodiment required for protection one of arbitrarily
Can mode use in any combination.
The all parts embodiment of the present invention can realize with hardware, or to run on one or more processor
Software module realize, or with combinations thereof realize.It will be understood by those of skill in the art that and can use in practice
Microprocessor or digital signal processor (DSP) realize book recommendation based on industry analysis according to embodiments of the present invention
The some or all functions of the some or all parts in device.The present invention is also implemented as being retouched here for execution
Part or all equipment of the method stated or device program (such as, computer program and computer program).
The program of such present invention of realization can store on a computer-readable medium, or can have one or more signal
Form.Such signal can be downloaded from internet website and obtain, or on carrier signal provide, or with any its
He provides form.
The present invention will be described rather than limits the invention to it should be noted above-described embodiment, and ability
Field technique personnel can design alternative embodiment without departing from the scope of the appended claims.In the claims,
Any reference marks that should not will be located between bracket is configured to limitations on claims.Word " comprises " and does not excludes the presence of not
Arrange element in the claims or step.Word "a" or "an" before being positioned at element does not excludes the presence of multiple such
Element.The present invention and can come real by means of including the hardware of some different elements by means of properly programmed computer
Existing.If in the unit claim listing equipment for drying, several in these devices can be by same hardware branch
Specifically embody.Word first, second and third use do not indicate that any order.These word explanations can be run after fame
Claim.
So far, although those skilled in the art will appreciate that the multiple of the most detailed present invention of illustrate and describing show
Example embodiment, but, without departing from the spirit and scope of the present invention, still can be direct according to present disclosure
Determine or derive other variations or modifications of many meeting the principle of the invention.Therefore, the scope of the present invention is it is understood that and recognize
It is set to and covers other variations or modifications all these.
The embodiment of the present invention additionally provides A1, a kind of book recommendation method based on industry analysis, including:
When receiving the Books Search the comprising search word request from search user, obtain going through of described search user
History behavioral data；
Analyze the historical behavior data of described search user, and determine described search industry belonging to user；
In the corresponding relation of the user pre-build and trade information, search and search for industry belonging to user mate with described
One or more coupling users；
Obtain the reading of the one or more coupling user and/or buy books record；
By the reading of the one or more coupling user and/or buy books record to be combined to described search word corresponding
In search results pages, and recommend described search user as Recommended Books.
A2, according to the method described in A1, wherein, described historical behavior data include at least one following:
User's registration information, history input information, navigation patterns information, purchasing behavior information, collection behavioural information, evaluation
Information.
A3, according to the method described in A1 or A2, wherein, also include: set up multiple user and the plurality of user's industry and believe
The corresponding relation of breath.
A4, according to the method described in A3, wherein, described to set up multiple user corresponding with the plurality of user's trade information
Relation, including:
Collect the multiple users on books platform, obtain the historical behavior data of each user in the plurality of user；
Analyze the historical behavior data of each user in the plurality of user, and determine industry and institute belonging to described each user
Belong to the trade information of industry；
According to the trade information of industry belonging to described each user and each user, set up user's trade information list, by described
The corresponding relation of the trade information of each user and each user is stored in described user's trade information list.
A5, according to the method described in A3 or A4, wherein, described multiple user and the plurality of user's trade information set up
Corresponding relation, including:
Collect the multiple users in the circle of friends of described search user, obtain the history row of each user in the plurality of user
For data；
Analyze the historical behavior data of each user in the plurality of user, and determine industry and institute belonging to described each user
Belong to the trade information of industry；
According to the trade information of industry belonging to described each user and each user, set up user's trade information list, by described
The corresponding relation of the trade information of each user and each user is stored in described user's trade information list.
A6, according to the method described in A5, wherein, described search user circle of friends include: described search user note
The various social software that volume uses there is individual or the group of mutual-action behavior with described search user.
A7, according to the method according to any one of A4-A6, wherein, described user's trade information list also includes: described
In multiple users each user reading and/or buy books record.
A8, according to the method described in A7, wherein, the one or more coupling reading of user of described acquisition and/or purchase
Buy books record, including:
From described user's trade information list, obtain the reading of the one or more coupling user and/or buy books
Record.
A9, according to the method according to any one of A1-A8, wherein, the one or more coupling user of described acquisition
Read and/or buy books record, also including:
Obtain the reading relevant to described search word of the one or more coupling user and/or buy books record.
A10, according to the method according to any one of A1-A9, wherein, by the one or more coupling user reading
And/or purchase books record is combined in the search results pages that described search word is corresponding, and recommend described as Recommended Books
Search user, including:
By the reading of the one or more coupling user and/or buy the books corresponding to books record and be divided into multiple
Grade；
By the reading of the one or more coupling user and/or buy books record, according to books divide multiple etc.
Level is combined in the search results pages that described search word is corresponding, and recommends described search user as Recommended Books.
A11, according to the method described in A10, wherein, books are divided into multiple grade and include: according to the title of each books
Described each books are divided into entry level books, promote level books and present briefly and succinctly grade books.
B12, a kind of book recommendation device based on industry analysis, including:
First acquisition module, is suitable to, when receiving the Books Search the comprising search word request from search user, obtain
Take the historical behavior data of described search user；
Analyze module, be suitable to analyze the historical behavior data of described search user, and determine belonging to described search user
Industry；
Search module, be suitable in the user the pre-build corresponding relation with trade information, search and use with described search
One or more coupling users of industry coupling belonging to family；
Second acquisition module, is suitable to obtain the reading of the one or more coupling user and/or buy books record；
Recommending module, is suitable to reading and/or the purchase books record of the one or more coupling user are combined to institute
State in the search results pages that search word is corresponding, and recommend described search user as Recommended Books.
B13, according to the device described in B12, wherein, described historical behavior data include at least one following:
User's registration information, history input information, navigation patterns information, purchasing behavior information, collection behavioural information, evaluation
Information.
B14, according to the device described in B12 or B13, wherein, also include:
Set up corresponding relation module, be adapted to set up the corresponding relation of multiple user and the plurality of user's trade information.
B15, according to the device described in B14, wherein, described corresponding relation module of setting up is further adapted for:
Collect the multiple users on books platform, obtain the historical behavior data of each user in the plurality of user；
Analyze the historical behavior data of each user in the plurality of user, and determine industry and institute belonging to described each user
Belong to the trade information of industry；
According to the trade information of industry belonging to described each user and each user, set up user's trade information list, by described
The corresponding relation of the trade information of each user and each user is stored in described user's trade information list.
B16, according to the device described in B14 or B15, wherein, described corresponding relation module of setting up is further adapted for:
Collect the multiple users in the circle of friends of described search user, obtain the history row of each user in the plurality of user
For data；
Analyze the historical behavior data of each user in the plurality of user, and determine industry and institute belonging to described each user
Belong to the trade information of industry；
According to the trade information of industry belonging to described each user and each user, set up user's trade information list, by described
The corresponding relation of the trade information of each user and each user is stored in described user's trade information list.
B17, according to the device described in B16, wherein, described set up in corresponding relation module search user circle of friends
Include: have with described search user in described search user registers the various social softwares of use mutual-action behavior individual or
Person group.
B18, according to the device according to any one of B15-B17, wherein, described in described foundation in corresponding relation module
User's trade information list also includes: in the plurality of user each user reading and/or buy books record.
B19, according to the device described in B18, wherein, described second acquisition module is further adapted for:
From described user's trade information list, obtain the reading of the one or more coupling user and/or buy books
Record.
B20, according to the device according to any one of B12-B19, wherein, described second acquisition module is further adapted for:
Obtain the reading relevant to described search word of the one or more coupling user and/or buy books record.
B21, according to the device described in B12-B20, wherein, described recommending module is further adapted for:
By the reading of the one or more coupling user and/or buy the books corresponding to books record and be divided into multiple
Grade；
Multiple grades that reading and/or the purchase books record of the one or more coupling user are divided according to books
It is combined in the search results pages that described search word is corresponding, and recommends described search user as Recommended Books.
B22, according to the device described in B21, wherein, described recommending module is further adapted for:
Described each books are divided into entry level books according to the title of each books, promote level books and present briefly and succinctly grade books.
Claims (10)
1. a book recommendation method based on industry analysis, including:
When receiving the Books Search the comprising search word request from search user, obtain the history row of described search user
For data；
Analyze the historical behavior data of described search user, and determine described search industry belonging to user；
In the corresponding relation of the user pre-build and trade information, search with described search for that industry belonging to user is mated one
Individual or multiple coupling users；
Obtain the reading of the one or more coupling user and/or buy books record；
Reading and/or the purchase books record of the one or more coupling user are combined to the search that described search word is corresponding
In result page, and recommend described search user as Recommended Books.
Method the most according to claim 1, wherein, described historical behavior data include at least one following:
User's registration information, history input information, navigation patterns information, purchasing behavior information, collection behavioural information, evaluation letter
Breath.
Method the most according to claim 1 and 2, wherein, also includes: sets up multiple user and believes with the plurality of user's industry
The corresponding relation of breath.
Method the most according to claim 3, wherein, described sets up the right of multiple user and the plurality of user's trade information
Should be related to, including:
Collect the multiple users on books platform, obtain the historical behavior data of each user in the plurality of user；
Analyze the historical behavior data of each user in the plurality of user, and determine industry and affiliated row belonging to described each user
The trade information of industry；
According to the trade information of industry belonging to described each user and each user, set up user's trade information list, by described each use
The corresponding relation of the trade information of family and each user is stored in described user's trade information list.
5. according to the method described in claim 3 or 4, wherein, described multiple user and the plurality of user's trade information set up
Corresponding relation, including:
Collect the multiple users in the circle of friends of described search user, obtain the historical behavior number of each user in the plurality of user
According to；
Analyze the historical behavior data of each user in the plurality of user, and determine industry and affiliated row belonging to described each user
The trade information of industry；
According to the trade information of industry belonging to described each user and each user, set up user's trade information list, by described each use
The corresponding relation of the trade information of family and each user is stored in described user's trade information list.
Method the most according to claim 5, wherein, the circle of friends of described search user includes: described search user
The various social software that registration uses there is individual or the group of mutual-action behavior with described search user.
7. according to the method according to any one of claim 4-6, wherein, described user's trade information list also includes: institute
State the reading of each user in multiple user and/or buy books record.
Method the most according to claim 7, wherein, described acquisition the one or more coupling user reading and/or
Buy books record, including:
Reading and/or the purchase figure secretary of the one or more coupling user is obtained from described user's trade information list
Record.
9. according to the method according to any one of claim 1-8, wherein, the one or more coupling user of described acquisition
Read and/or buy books record, also including:
Obtain the reading relevant to described search word of the one or more coupling user and/or buy books record.
10. a book recommendation device based on industry analysis, including:
First acquisition module, is suitable to, when receiving the Books Search the comprising search word request from search user, obtain institute
State the historical behavior data of search user；
Analyze module, be suitable to analyze the historical behavior data of described search user, and determine described search industry belonging to user；
Search module, be suitable in the user the pre-build corresponding relation with trade information, search and described search user institute
Belong to one or more coupling users of industry coupling；
Second acquisition module, is suitable to obtain the reading of the one or more coupling user and/or buy books record；
Recommending module, be suitable to by the one or more coupling user reading and/or buy books record be combined to described in search
In the search results pages that rope word is corresponding, and recommend described search user as Recommended Books.
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