CN103699551B - A kind of recommend method, server and system of information - Google Patents

A kind of recommend method, server and system of information Download PDF

Info

Publication number
CN103699551B
CN103699551B CN201210369954.0A CN201210369954A CN103699551B CN 103699551 B CN103699551 B CN 103699551B CN 201210369954 A CN201210369954 A CN 201210369954A CN 103699551 B CN103699551 B CN 103699551B
Authority
CN
China
Prior art keywords
information
reference table
user
table group
operated
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Active
Application number
CN201210369954.0A
Other languages
Chinese (zh)
Other versions
CN103699551A (en
Inventor
王翔
刘黎春
朱静涛
范成涛
周斌
徐东山
沈飞
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Tencent Cloud Computing Beijing Co Ltd
Original Assignee
Tencent Technology Shenzhen Co Ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Tencent Technology Shenzhen Co Ltd filed Critical Tencent Technology Shenzhen Co Ltd
Priority to CN201210369954.0A priority Critical patent/CN103699551B/en
Publication of CN103699551A publication Critical patent/CN103699551A/en
Application granted granted Critical
Publication of CN103699551B publication Critical patent/CN103699551B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/90Details of database functions independent of the retrieved data types
    • G06F16/95Retrieval from the web
    • G06F16/953Querying, e.g. by the use of web search engines
    • G06F16/9535Search customisation based on user profiles and personalisation

Landscapes

  • Engineering & Computer Science (AREA)
  • Databases & Information Systems (AREA)
  • Theoretical Computer Science (AREA)
  • Data Mining & Analysis (AREA)
  • Physics & Mathematics (AREA)
  • General Engineering & Computer Science (AREA)
  • General Physics & Mathematics (AREA)
  • Information Retrieval, Db Structures And Fs Structures Therefor (AREA)
  • Management, Administration, Business Operations System, And Electronic Commerce (AREA)

Abstract

The recommend method, server and the system that the invention discloses a kind of information, belong to computer realm. Method comprises: receive the request of recommendation information, request comprises user's ID; According to user's ID, obtain the information that user operated; The information operating according to user, the corresponding relation between the information and the reference table group that are pre-created, matches reference table group corresponding to information that user operated; In reference table group, obtain the reference table with the similar information of information that same user operated; Read from reference table the similar information of information that same user operated, and recommend corresponding information to user. Server comprises: receiver module, acquisition module, matching module, enquiry module and recommending module. System comprises: recommendation server and information recording server. The corresponding reference table group of information that the present invention operated from user, obtain the reference table with the similar information of information that same user operated, can quick obtaining reference table.

Description

A kind of recommend method, server and system of information
Technical field
The present invention relates to computer realm, particularly a kind of recommend method of information, server and system.
Background technology
Personalized recommendation is the Characteristic of Interest according to user, recommends the interested information of user to user. Current many internet industrysBusiness, has all introduced personalized recommendation, such as Online Music application and online reading application etc.
Wherein, be applied as example with Online Music, the flow process of the personalized recommendation of Online Music application comprises, first believes from magnanimity musicIn breath, inquire about some music, then the some music that inquire are selected, choose the music recommend of predetermined quantityGive user. Particularly, the existing way of recommendation is: recommendation server in advance in database for each music arranges a fixed numberThe similar music of amount, for music of each music storage-similar music reference table. In the time that user asks to recommend music, push awayRecommend the ID (Identity, mark) that server obtains user, and ask music to record server and return to this user operated mistake in the pastMusic, for example user listened to, collected, shared or be made as in the past the music of background music; Secondly, recommendation server traversalEach music-similar music reference table of storing in database, for the music that each this user operated is inquired about similar sound in the pastHappy; Finally, recommendation server obtains all similar music, and therefrom selects the music recommend of predetermined quantity to user.
Realizing in process of the present invention, inventor finds that prior art at least exists following problem:
Data server is often similar music corresponding to music inquiry that a user operated, and all needs to travel through in a database and depositsAll music-similar music the reference table of storage; To cause like this query time long, and recommend the efficiency of music lower.
Summary of the invention
In order to solve the problem of prior art, the embodiment of the present invention provides a kind of recommend method, server and system of information.Described technical scheme is as follows:
A recommend method for information, described method comprises:
Obtain each preset information and reference table with the similar information of described information;
Determine the quantity that needs the reference table group obtaining after whole described reference tables are divided into groups;
The operation values of the mark of obtaining each information to described quantity delivery;
By reference table corresponding information equal described operation values, be assigned in same reference table group, to create each informationAnd the corresponding relation between corresponding described reference table group;
Receive the request of recommendation information, described request comprises user's ID;
According to described user's ID, obtain the information that described user operated;
The information operating according to described user, the corresponding relation between the information and the reference table group that are pre-created, matchesReference table group corresponding to information that described user operated;
In described reference table group, inquiry has the reference table of the similar information of the information that operated with described user;
Read the similar information of information operating with described user from described reference table, and recommend corresponding information to described user;
Wherein, the information operating according to described user, the corresponding relation between the information and the reference table group that are pre-created,Match reference table group corresponding to information that described user operated, comprising:
Obtain the quantity of the described reference table group obtaining after whole described reference tables are divided into groups;
The operation values of the mark of calculating the information that described user operated to the quantity delivery obtaining;
The reference table group of the operation values instruction that query count goes out, obtains reference table group corresponding to information that described user operated.
Wherein, the corresponding information of described recommendation is given described user, comprising:
Obtain associated between the information that the similar information of information that default same described user operated and described user operatedDegree;
By the size of the described degree of association, choose the similar information recommendation of information that the same described user of some operated to user.
A kind of server, described server comprises:
Creation module, described creation module comprises the first acquiring unit, determining unit, second acquisition unit and allocation units: instituteState the first acquiring unit, for obtaining each preset information and reference table with the similar information of described information; Described definiteUnit, for determining the quantity that needs the reference table group obtaining after whole described reference tables are divided into groups; Described second acquisition unit,Operation values for the mark of obtaining each information to described quantity delivery; Described allocation units, for by described operation values phaseDeng reference table corresponding to information, be assigned in same reference table group, to create each information and corresponding described referenceCorresponding relation between table group;
Receiver module, for receiving the request of recommendation information, described request comprises user's ID;
Acquisition module, for according to described user's ID, obtains the information that described user operated;
Matching module, for the information operating according to described user, corresponding between the information that is pre-created and reference table groupIn relation, match reference table group corresponding to information that described user operated;
Enquiry module, in described reference table group, inquiry has the ginseng of the similar information of the information that operated with described userAccording to table;
Recommending module, for read the similar information of information operating with described user from described reference table, and recommends correspondingInformation is given described user;
Described matching module comprises:
The 3rd acquiring unit, for obtaining the quantity of the described reference table group obtaining after whole described reference tables are divided into groups;
Computing unit, the operation values for the mark of calculating the information that described user operated to the quantity delivery obtaining;
Query unit, the reference table group of the operation values going out for query count instruction, obtains the information correspondence that described user operatedReference table group.
Wherein, described recommending module comprises:
Reading unit, for reading the similar information of information operating with described user from described reference table;
Degree of association unit, for obtaining, the similar information of information that default same described user operated and described user operatedThe degree of association between information;
Choose recommendation unit, for by the size of the described degree of association, choose the information phase that the same described user of some operatedLike information recommendation to user.
A commending system for information, described system comprises recommendation server and information recording server:
Described recommendation server, for obtaining each preset information and reference table with the similar information of described information; DetermineAfter being divided into groups, whole described reference tables need the quantity of the reference table group obtaining; Obtain the mark of each information to described quantityThe operation values of delivery; By reference table corresponding information equal described operation values, be assigned in same reference table group, to createCorresponding relation between each information and corresponding described reference table group;
Receive the request of recommendation information, described request comprises user's ID;
Described user's ID is sent to described information recording server, to user's operation described in described information recording server requestThe information of crossing; Obtain the information that described user that described information recording server returns operated;
Obtain the quantity of the described reference table group obtaining after whole described reference tables are divided into groups; Calculate that described user operatedThe operation values of the mark of information to the quantity delivery obtaining; The reference table group of the operation values instruction that query count goes out, obtains described useReference table group corresponding to information that family operated; In described reference table group, inquiry has the information phase operating with described userLike the reference table of information; Read the similar information of information operating with described user from described reference table, and recommend correspondingInformation is given described user;
Described information recording server, for receiving the described user's that described recommendation server sends ID, and will with described userThe information that operated of described user corresponding to ID return to described recommendation server.
The beneficial effect that the technical scheme that the embodiment of the present invention provides is brought is: by receiving the request of recommendation information, described requestComprise user's ID; According to described user's ID, obtain the information that described user operated; The letter operating according to described userBreath, the corresponding relation between the information and the reference table group that are pre-created, matches the information that described user operated correspondingReference table group; In described reference table group, inquiry has the reference table of the similar information of the information that operated with described user; FromAnd can be according to the corresponding relation quick obtaining reference table between described information and reference table group, avoid ergodic data storehouse, reduceQuery time; Read the similar information of information operating with described user from described reference table, and recommend corresponding information to instituteState user; Make to improve the efficiency of recommendation information, saved the time.
Brief description of the drawings
In order to be illustrated more clearly in the technical scheme in the embodiment of the present invention, attached by required use during embodiment is described belowFigure is briefly described, and apparently, the accompanying drawing in the following describes is only some embodiments of the present invention, for this areaThose of ordinary skill, is not paying under the prerequisite of creative work, can also obtain according to these accompanying drawings other accompanying drawing.
Fig. 1 is the flow chart of the recommend method of a kind of information of providing of the embodiment of the present invention one;
Fig. 2 is the flow chart of the recommend method of a kind of information of providing of the embodiment of the present invention two;
Fig. 3 is the schematic diagram of the corresponding relation between the embodiment of the present invention two information and the reference table group that provide;
Fig. 4 is the schematic diagram of a kind of server of providing of the embodiment of the present invention three;
Fig. 5 is the schematic diagram of a kind of server of providing of the embodiment of the present invention four;
Fig. 6 is the schematic diagram of the commending system of a kind of information of providing of the embodiment of the present invention five.
Detailed description of the invention
For making the object, technical solutions and advantages of the present invention clearer, below in conjunction with accompanying drawing to embodiment of the present invention do intoOne step ground is described in detail.
Embodiment mono-
The embodiment of the present invention one provides a kind of recommend method of information, and referring to Fig. 1, method flow comprises:
101: receive the request of recommendation information.
Wherein, this request comprises user's ID.
102: according to user's ID, obtain the information that user operated.
Particularly, the information in the present embodiment can be music information, video information, books and article information or merchandise news etc.The information that user operated is that user carried out the information of single operation. This single operation comprises to be listened to, play, reads, dividesEnjoy, recommend, collect and buy. For example, the information that user operated can be, user listens to/shares/and the sound recommend/collectedBooks and article information or the pass of the video information of happy information, broadcasting/sharing/recommendation/collected, reading/sharing/recommendation/collectedThe merchandise news of note/buy/collecting etc.
103: the information operating according to user, the corresponding relation between the information and the reference table group that are pre-created, matchesReference table group corresponding to information that user operated.
104: in this reference table group, inquiry has the reference table of the similar information of the information that operated with this user.
Wherein, the reference table with the similar information of the information that operated with this user is, information that user operated-and with this userThe reference table of the similar information of the information that operated.
105: read the information similar with this information from this reference table, and recommend corresponding information to user.
The beneficial effect that the said method that the present embodiment provides brings is: by receiving the request of recommendation information, this request comprises useThe ID at family; According to user's ID, obtain the information that user operated; The information operating according to user, from the letter being pre-createdIn corresponding relation between breath and reference table group, match reference table group corresponding to information that user operated; In this reference table groupIn, inquiry has the reference table of the similar information of information that same user operated; Thereby can be according between information and reference table groupCorresponding relation quick obtaining reference table, avoid ergodic data storehouse, reduced query time; Read same user's operation from reference tableThe similar information of information of crossing, and recommend corresponding information to user; Make to improve the efficiency of recommendation information, saved the time.
Embodiment bis-
For ease of understanding, the embodiment of the present invention two recommends the flow process of music as example taking Online Music application, and a kind of information is providedRecommend method. Obviously, the embodiment of the present invention two is not limited to music recommend, other any information recommendations, for example article recommendation,Video recommendation etc. can be applied. Referring to Fig. 2, the method flow process comprises:
201: be pre-created the corresponding relation between each information and corresponding reference table group.
Wherein, this step can be carried out by recommendation server, specifically comprises:
2011: obtain each preset information-with the reference table of the similar information of this information.
Wherein, in recommendation server, set in advance music-with the similar music reference table of this music. Particularly, one of them music-with in the similar music reference table of this music, store similar music that the ID of a music and the ID of this music are correspondingID. Obviously, the ID of a music is to there being the ID of several similar music. In addition, the storage organization of this reference table can be adoptedWith the realization of key-value (key assignments) table. Particularly, key gets the ID of music, and value gets the music similar with this musicID. Further, in reference table, also comprise this music and the degree of association with between the similar music of this music. This degree of association embodiesBoth similarity degrees. This is well known technology, is not described in detail in this.
2012: whole reference tables are divided into groups, obtain multiple reference table groups; Create each information and corresponding reference tableCorresponding relation between group.
Further, this step comprises:
2012a: determine the quantity that needs the reference table group obtaining after whole reference tables are divided into groups.
Wherein, in order to reduce the scope of inquiry, by all above-mentioned preset music-divide with the similar music reference table of this musicGroup, obtains the reference table group of predetermined quantity. This predetermined quantity is the definite value arranging. Suppose the quantity of definite reference table groupFor P.
2012b: the operation values of the ID that obtains each information to this quantity delivery; By reference corresponding information equal operation valuesTable, is assigned in same reference table group, to create the corresponding relation between each information and corresponding reference table group.
Particularly, can be by hash (Hash) function to whole music-carry out cutting with the similar music reference table of this music,To multiple hash reference table groups. The ID of each music is the hash function of structure to this quantity delivery. The embodiment of the present inventionIn two, the ID that gets music is keyword, and the hash function of foundation is, hash (keyword)=(ID of music) %P.
Particularly, the operation values of this hash function is hash value, is presented as the index of hash reference table group. Identical hash valueThe corresponding reference table of music, is placed in same hash reference table group. Further, by a hash reference table groupEach reference table memory address form single-track link table. Wherein, the meter pointer of this single-track link table is made as hash value corresponding theThe memory address of a reference table. For example, referring to Fig. 3, suppose that music ID is that S_1 is 1 to the operation values of P delivery, musicID is that S_2 is also 1 to the operation values of P delivery; And the memory address of operation values 1 corresponding reference table is ad_1; S_1-is sameThe reference table of the similar music of S_1 and S_2-are positioned at gauge outfit with the reference table of the similar music of S_2 memory address separately and refer toPin is in the single-track link table of ad_1. This is well known technology, is not described in detail in this.
202: the request of obtaining recommendation information.
Wherein, this request comprises user's ID.
Wherein, user's ID is the identity ID that user uses Online Music application, comprises user UIN (UniqueIdentificationNumber, unduplicated Verification Number), the account number that for example user uses music application to adopt. Particularly, Online Music applicationTerminal to recommendation server send recommend request for music, this recommendation request for music comprises user's ID.
Wherein, recommendation server receives after this request, obtains this user's ID.
203: according to user's ID, obtain the information that user operated.
Wherein, recommendation server receives after this request, and this user's the ID that asks for some to information recording server is correspondingThe music information that user operated. In music recommend, the information that user operated is: user carries out in Online Music applicationCross the music of single operation. The personalized recommendation of Online Music application is that the music that operated based on user is estimated user and likedThe music of liking. Particularly, the music that user operated can be, user carried out and listens song, shares, likes, is set to backgroundThe music that music or no longer play etc. operates. At present, the music that user operated is recorded and is stored by information recording server.
Information recording server is in server this locality, and the music that reads the operation of the some that this user's ID is corresponding returns toRecommendation server. What deserves to be explained is, information recording server reads after the music that the user of some operated, all rightMusic user being operated according to the type of operation is screened. For example, if user carried out no longer and play certain music, that, will filter out this music, no longer assess based on this music the music that user likes.
204: the information operating according to user, the corresponding relation between the information and the reference table group that are pre-created, matchesReference table group corresponding to information that user operated.
Wherein, first, obtain the quantity of the reference table group obtaining after whole reference tables are divided into groups; Secondly, calculate and useThe operation values of the ID of the music that family operated to this quantity delivery obtaining; The reference of the operation values instruction that then, query count goes outTable group, obtains reference table group corresponding to information that this user operated.
Particularly, read the meter pointer of the single-track link table of the memory address formation of the reference table group of this operation values coupling calculating;Obtain reference table group corresponding to music that this user operated.
205: in this reference table group, inquiry has the reference table of the similar information of the information that operated with this user.
Wherein, the reference table with the similar information of the information that operated with this user is, information that user operated-and with this userThe reference table of the similar information of the information that operated. Particularly, obtain after the meter pointer of this single-track link table, also need be at unidirectional chainMusic that in table, sequential query user operated-with the reference table of the similar music of music.
206: read the similar information of information operating with this user from this reference table, and recommend corresponding information to user.
Wherein, this step can be carried out by recommendation server. This step specifically comprises:
2061: read the similar information of information operating with this user from this reference table.
Particularly, inquire after reference table, obtain the music similar with this music from this reference table.
2062: obtain the degree of association between the information that the similar information of information that default same user operated and user operated.
Wherein, this degree of association is a concrete numerical value, can be used as value and is placed on music (key)-with the similar music of this music(value) in reference table. Particularly, this degree of association is singer, style, age and the audience's group character according to two songsEtc. information, calculate by related algorithm in advance. This is prior art, is not described in detail in this.
2063: by the size of the degree of association, choose the similar information recommendation of information that the same user of some operated to user.
Particularly, the degree of association obtaining is sorted, choose the similar music recommend of the same music of numerical value maximum to user. ThisFor prior art, be not described in detail in this.
The beneficial effect that the said method that the present embodiment provides brings is: by receiving the request of recommendation information, this request comprises useThe ID at family; According to user's ID, obtain the information that user operated; The information operating according to user, from the letter being pre-createdIn corresponding relation between breath and reference table group, match reference table group corresponding to information that user operated; In this reference table groupIn, inquiry has the reference table of the similar information of information that same user operated; Thereby can be according between information and reference table groupCorresponding relation quick obtaining reference table, avoid ergodic data storehouse, reduced query time; Read same user's operation from reference tableThe similar information of information of crossing, and recommend corresponding information to user; Make to improve the efficiency of recommendation information, saved the time.
Embodiment tri-
Referring to Fig. 4, the embodiment of the present invention three provides a kind of server, and this server comprises:
Receiver module 301, for receiving the request of recommendation information.
Wherein, this request comprises user's ID.
Acquisition module 302, for according to user's ID, obtains the information that user operated.
Matching module 303, for the information operating according to user, corresponding between the information that is pre-created and reference table groupIn relation, match reference table group corresponding to information that user operated.
Enquiry module 304, in reference table group, inquiry has the reference of the similar information of the information that operated with this userTable.
Recommending module 305, for read the similar information of information operating with this user from this reference table, and recommends correspondingInformation is to user.
The beneficial effect that the above-mentioned server that the present embodiment provides brings is: receive the request of recommendation information by receiver module, and shouldRequest comprises user's ID; Acquisition module, according to user's ID, obtains the information that user operated; Matching module is grasped according to userThe information of doing, the corresponding relation between the information and the reference table group that are pre-created, matches the information pair that user operatedThe reference table group of answering; Enquiry module is in this reference table group, and inquiry has the reference of the similar information of information that same user operatedTable; Thereby can, according to the corresponding relation quick obtaining reference table between information and reference table group, avoid ergodic data storehouse, reduceQuery time; Read from reference table the similar information of information that same user operated by recommending module, and recommend corresponding letterBreath is to user; Make to improve the efficiency of recommendation information, saved the time.
Embodiment tetra-
Referring to Fig. 5, the embodiment of the present invention four provides a kind of server, and this server comprises:
Receiver module 401, for receiving the request of recommendation information. Wherein, this request comprises user's ID.
Acquisition module 402, for according to user's ID, obtains the information that user operated.
Matching module 403, for the information operating according to user, corresponding between the information that is pre-created and reference table groupIn relation, match reference table group corresponding to information that user operated.
Enquiry module 404, in reference table group, inquiry has the reference of the similar information of the information that operated with this userTable.
Recommending module 405, for reading with this user and operated the similar information of information from this reference table, and recommends corresponding letterBreath is to user.
Wherein, recommending module 405 comprises:
Reading unit, the similar information of information operating for read same user from reference table.
Degree of association unit, for obtaining between the information that the similar information of information that default same user operated and user operatedThe degree of association.
Choose recommendation unit, for by the size of the degree of association, choose the similar information of information that the same user of some operatedRecommend user.
Wherein, this server also comprises:
Creation module 406, for obtaining each preset information-with the reference table of the similar information of this information; By whole referencesTable divides into groups, and obtains multiple reference table groups; Create the corresponding relation between each information and corresponding reference table group.
Wherein, creation module 406 comprises:
The first acquiring unit 4061, for obtaining each preset information-with the reference table of the similar information of this information.
Determining unit 4062, for determining the quantity that needs the reference table group obtaining after whole reference tables are divided into groups.
Second acquisition unit 4063, the operation values for the ID that obtains each information to this quantity delivery.
Allocation units 4064, for by information corresponding information equal institute's operation values-with the ginseng of the reference table of the similar information of informationAccording to table, be assigned in same reference table group, to create the corresponding relation between each information and corresponding reference table group.
Correspondingly, matching module 403 comprises:
The 3rd acquiring unit, for obtaining the quantity of the reference table group obtaining after whole reference tables are divided into groups.
Computing unit, the operation values for the ID that calculates the information that user operated to the quantity delivery obtaining.
Query unit, the reference table group of the operation values going out for query count instruction, obtains ginseng corresponding to information that user operatedAccording to table group.
The beneficial effect that the above-mentioned server that the present embodiment provides brings is: receive the request of recommendation information by receiver module, and shouldRequest comprises user's ID; Acquisition module, according to user's ID, obtains the information that user operated; Matching module is grasped according to userThe information of doing, the corresponding relation between the information and the reference table group that are pre-created, matches the information pair that user operatedThe reference table group of answering; Enquiry module is in this reference table group, and inquiry has the reference of the similar information of information that same user operatedTable; Thereby can, according to the corresponding relation quick obtaining reference table between information and reference table group, avoid ergodic data storehouse, reduceQuery time; Read from reference table the similar information of information that same user operated by recommending module, and recommend corresponding letterBreath is to user; Make to improve the efficiency of recommendation information, saved the time.
Embodiment five
Referring to Fig. 6, the embodiment of the present invention five provides a kind of commending system of information, and this system comprises: recommendation server 501With information recording server 502.
Recommendation server 501, for receiving the request of recommendation information, this request comprises user's ID; User's ID is sent toInformation recording server 502, the information of asking user to operate to information recording server 502; Obtaining information records serverThe information that 502 users that return operated; The information operating according to user, between the information and reference table group that are pre-createdCorresponding relation in, match reference table group corresponding to information that described user operated; In described reference table group, inquiry toolThe reference table of the similar information of the information that has same user to operate; Read from reference table the similar information of information that same user operated,And recommend corresponding information to user.
Information recording server 502, for receiving the user's that recommendation server 501 sends ID, and by corresponding with user's IDThe information that operated of user return to recommendation server 501.
The beneficial effect that the said system that the present embodiment provides is brought is: receive the request of recommendation information by recommendation server, and shouldRequest comprises user's ID; According to user's ID, obtain the information that user operated; The information operating according to user, from advanceIn corresponding relation between information and the reference table group first creating, match reference table group corresponding to information that user operated; ?In this reference table group, inquiry has the reference table of the similar information of information that same user operated; Thereby can be according to information and ginsengAccording to the corresponding relation quick obtaining reference table between table group, avoid ergodic data storehouse, reduce query time; By recommendation serviceDevice reads from reference table the similar information of information that same user operated, and recommends corresponding information to user; Make to have improved and push awayRecommend the efficiency of information, saved the time.
It should be noted that: the server that above-described embodiment provides, in the time of recommendation information, only enters with the division of above-mentioned each functional moduleRow illustrates, and in practical application, can above-mentioned functions be distributed and completed by different functional modules as required, is about to establishStandby internal structure is divided into different functional modules, to complete all or part of function described above. In addition, above-mentioned realityExecute server that example provides and the recommend method embodiment of information and belong to same design, its specific implementation process refers to embodiment of the method,Here repeat no more.
The invention described above embodiment sequence number, just to describing, does not represent the quality of embodiment.
One of ordinary skill in the art will appreciate that all or part of step that realizes above-described embodiment can complete by hardware,Also can carry out the hardware that instruction is relevant by program and complete, described program can be stored in a kind of computer-readable recording medium,The above-mentioned storage medium of mentioning can be read-only storage, disk or CD etc.
The foregoing is only preferred embodiment of the present invention, not in order to limit the present invention, all the spirit and principles in the present invention itIn, any amendment of doing, be equal to replacement, improvement etc., within all should being included in protection scope of the present invention.

Claims (5)

1. a recommend method for information, is characterized in that, described method comprises:
Obtain each preset information and reference table with the similar information of described information;
Determine the quantity that needs the reference table group obtaining after whole described reference tables are divided into groups;
The operation values of the mark of obtaining each information to described quantity delivery;
By reference table corresponding information equal described operation values, be assigned in same reference table group, to create each informationAnd the corresponding relation between corresponding described reference table group;
Receive the request of recommendation information, described request comprises user's mark;
According to described user's mark, obtain the information that described user operated;
The information operating according to described user, the corresponding relation between the information and the reference table group that are pre-created, matchesReference table group corresponding to information that described user operated;
In described reference table group, inquiry has the reference table of the similar information of the information that operated with described user;
Read the similar information of information operating with described user from described reference table, and recommend corresponding information to described user;
Wherein, the information operating according to described user, the corresponding relation between the information and the reference table group that are pre-created,Match reference table group corresponding to information that described user operated, comprising:
Obtain the quantity of the described reference table group obtaining after whole described reference tables are divided into groups;
The operation values of the mark of calculating the information that described user operated to the quantity delivery obtaining;
The reference table group of the operation values instruction that query count goes out, obtains reference table group corresponding to information that described user operated.
2. method according to claim 1, is characterized in that, the corresponding information of described recommendation is given described user, comprising:
Obtain associated between the information that the similar information of information that default same described user operated and described user operatedDegree;
By the size of the described degree of association, choose the similar information recommendation of information that the same described user of some operated to user.
3. a server, is characterized in that, described server comprises:
Creation module, described creation module comprises the first acquiring unit, determining unit, second acquisition unit and allocation units: instituteState the first acquiring unit, for obtaining each preset information and reference table with the similar information of described information; Described definiteUnit, for determining the quantity that needs the reference table group obtaining after whole described reference tables are divided into groups; Described second acquisition unit,Operation values for the mark of obtaining each information to described quantity delivery; Described allocation units, for by described operation values phaseDeng reference table corresponding to information, be assigned in same reference table group, to create each information and corresponding described referenceCorresponding relation between table group;
Receiver module, for receiving the request of recommendation information, described request comprises user's mark;
Acquisition module, for according to described user's mark, obtains the information that described user operated;
Matching module, for the information operating according to described user, corresponding between the information that is pre-created and reference table groupIn relation, match reference table group corresponding to information that described user operated;
Enquiry module, in described reference table group, inquiry has the ginseng of the similar information of the information that operated with described userAccording to table;
Recommending module, for read the similar information of information operating with described user from described reference table, and recommends correspondingInformation is given described user;
Described matching module comprises:
The 3rd acquiring unit, for obtaining the quantity of the described reference table group obtaining after whole described reference tables are divided into groups;
Computing unit, the operation values for the mark of calculating the information that described user operated to the quantity delivery obtaining;
Query unit, the reference table group of the operation values going out for query count instruction, obtains the information correspondence that described user operatedReference table group.
4. server according to claim 3, is characterized in that, described recommending module comprises:
Reading unit, for reading the similar information of information operating with described user from described reference table;
Degree of association unit, for obtaining, the similar information of information that default same described user operated and described user operatedThe degree of association between information;
Choose recommendation unit, for by the size of the described degree of association, choose the information phase that the same described user of some operatedLike information recommendation to user.
5. a commending system for information, is characterized in that, described system comprises recommendation server and information recording server:
Described recommendation server, for obtaining each preset information and reference table with the similar information of described information; DetermineAfter being divided into groups, whole described reference tables need the quantity of the reference table group obtaining; Obtain the mark of each information to described quantityThe operation values of delivery; By reference table corresponding information equal described operation values, be assigned in same reference table group, to createCorresponding relation between each information and corresponding described reference table group;
Receive the request of recommendation information, described request comprises user's mark;
Described user's mark is sent to described information recording server, to user behaviour described in described information recording server requestThe information of doing; Obtain the information that described user that described information recording server returns operated;
Obtain the quantity of the described reference table group obtaining after whole described reference tables are divided into groups; Calculate that described user operatedThe operation values of the mark of information to the quantity delivery obtaining; The reference table group of the operation values instruction that query count goes out, obtains described useReference table group corresponding to information that family operated; In described reference table group, inquiry has the information phase operating with described userLike the reference table of information; Read the similar information of information operating with described user from described reference table, and recommend correspondingInformation is given described user;
Described information recording server, for receiving the described user's that described recommendation server sends mark, and will with described useThe information that the described user of the mark correspondence at family operated returns to described recommendation server.
CN201210369954.0A 2012-09-27 2012-09-27 A kind of recommend method, server and system of information Active CN103699551B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201210369954.0A CN103699551B (en) 2012-09-27 2012-09-27 A kind of recommend method, server and system of information

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201210369954.0A CN103699551B (en) 2012-09-27 2012-09-27 A kind of recommend method, server and system of information

Publications (2)

Publication Number Publication Date
CN103699551A CN103699551A (en) 2014-04-02
CN103699551B true CN103699551B (en) 2016-05-04

Family

ID=50361081

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201210369954.0A Active CN103699551B (en) 2012-09-27 2012-09-27 A kind of recommend method, server and system of information

Country Status (1)

Country Link
CN (1) CN103699551B (en)

Families Citing this family (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN106021443A (en) * 2016-05-16 2016-10-12 北京奇虎科技有限公司 Post display method and apparatus
CN109741646A (en) * 2018-12-18 2019-05-10 广雅传媒(武汉)有限公司 A kind of psychological health education books read recommender system and method

Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN1739289A (en) * 2002-12-12 2006-02-22 索尼株式会社 Information processing device and information processing method, recording medium, and computer program
WO2010140504A1 (en) * 2009-06-02 2010-12-09 日本電気株式会社 System, device, method, and program for providing recommendation information
CN102054004A (en) * 2009-11-04 2011-05-11 清华大学 Webpage recommendation method and device adopting same

Patent Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN1739289A (en) * 2002-12-12 2006-02-22 索尼株式会社 Information processing device and information processing method, recording medium, and computer program
WO2010140504A1 (en) * 2009-06-02 2010-12-09 日本電気株式会社 System, device, method, and program for providing recommendation information
CN102054004A (en) * 2009-11-04 2011-05-11 清华大学 Webpage recommendation method and device adopting same

Also Published As

Publication number Publication date
CN103699551A (en) 2014-04-02

Similar Documents

Publication Publication Date Title
US20230418872A1 (en) Media content item recommendation system
CN100437583C (en) User terminal and content searching and presentation method
CN101821735B (en) Generating metadata for association with collection of content items
US20170139912A1 (en) Cross media recommendation
KR101538873B1 (en) Syndication including melody recognition and opt out
US10891679B2 (en) Generating media recommendations based upon beats per minute
US8122072B2 (en) Content provision system and content provision method
CN106970958B (en) A kind of inquiry of stream file and storage method and device
US20150242750A1 (en) Asymmetric Rankers for Vector-Based Recommendation
CN101755283A (en) Method and apparatus for recommending information using hybrid algorithm
CN107885745A (en) A kind of song recommendations method and device
CN104104999B (en) Audio/video information recommends method and apparatus
WO2014176192A2 (en) Live recommendation generation
US9773058B2 (en) Methods and systems for arranging and searching a database of media content recordings
AU2011210597A1 (en) System and method for aggregation and association of professional affiliation data with commercial data content
CN102857471A (en) Multimedia interacting method and system
CN104636448A (en) Music recommendation method and device
CN108574850A (en) A kind of live streaming resource allocation methods, device, electronic equipment and storage medium
CN109934684A (en) A kind of Method of Commodity Recommendation, device, terminal and storage medium
CN109976669A (en) A kind of edge storage method, device and storage medium
US20100082663A1 (en) Method and System for Identifying Equivalent Digital Media Assets
CN103699551B (en) A kind of recommend method, server and system of information
CN115062027A (en) Hash connection method, computing node, storage medium, and program product
CN102193988A (en) Method and system for retrieving node data in graphic database
CN109426998A (en) Information-pushing method and device

Legal Events

Date Code Title Description
C06 Publication
PB01 Publication
C10 Entry into substantive examination
SE01 Entry into force of request for substantive examination
C14 Grant of patent or utility model
GR01 Patent grant
EE01 Entry into force of recordation of patent licensing contract

Application publication date: 20140402

Assignee: Ocean interactive (Beijing) Information Technology Co., Ltd.

Assignor: Tencent Technology (Shenzhen) Co., Ltd.

Contract record no.: 2016990000422

Denomination of invention: Information recommendation method, server and system

Granted publication date: 20160504

License type: Common License

Record date: 20161009

LICC Enforcement, change and cancellation of record of contracts on the licence for exploitation of a patent or utility model
TR01 Transfer of patent right
TR01 Transfer of patent right

Effective date of registration: 20180906

Address after: 100191 Beijing Haidian District Zhichun Road 49 No. 3 West 309

Patentee after: Tencent cloud computing (Beijing) limited liability company

Address before: 518000 East 403 room, Sai Ge science and Technology Park, Futian District, Shenzhen, Guangdong, 403

Patentee before: Tencent Technology (Shenzhen) Co., Ltd.