CN104731917A - Recommendation method and device - Google Patents

Recommendation method and device Download PDF

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Publication number
CN104731917A
CN104731917A CN201510133742.6A CN201510133742A CN104731917A CN 104731917 A CN104731917 A CN 104731917A CN 201510133742 A CN201510133742 A CN 201510133742A CN 104731917 A CN104731917 A CN 104731917A
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China
Prior art keywords
user
information
client
current
current scene
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CN201510133742.6A
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CN104731917B (en
Inventor
邢皖甲
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Baidu Online Network Technology Beijing Co Ltd
Beijing Baidu Netcom Science and Technology Co Ltd
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Beijing Baidu Netcom Science and Technology Co Ltd
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Priority to CN201510133742.6A priority Critical patent/CN104731917B/en
Publication of CN104731917A publication Critical patent/CN104731917A/en
Priority to PCT/CN2015/094397 priority patent/WO2016150170A1/en
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    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00Information retrieval; Database structures therefor; File system structures therefor
    • 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
    • G06F16/9537Spatial or temporal dependent retrieval, e.g. spatiotemporal queries

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

Abstract

The embodiment of the invention provides a recommendation method and device. On one hand, current scene information of a user using a client is determined, and attribute information of the user using the client is obtained; thus, recommendation content is obtained according to the current scene information of the user and the attribute information of the user; moreover, the recommendation content is output. Thus, effectiveness and accuracy of the recommendation content can be improved through the technical scheme.

Description

A kind of recommend method and device
[technical field]
The present invention relates to technical field of internet application, particularly relate to a kind of recommend method and device.
[background technology]
Along with intellectuality and the Internet technology develop rapidly of universal, the terminal of terminal, terminal is integrated with more functions, thus makes to contain various application in the operating system of terminal.The free time of current most of user is all taken by these application, the various information that increasing user is provided by application acquisition internet in terminal.
At present, client can provide some content recommendations to user, as film, tourist attractions or cuisines etc.In prior art, when providing content recommendation to user, it is generally the historical record according to user, associate between user with other users, this user is given by interested for other users commending contents, or, according to the historical record of user, interested for user content is associated with other guide, other guide is recommended this user.
But, only according to the historical record of user, realize providing content recommendation to user by the mode of user-association or relevance, scene not in conjunction with user's reality is recommended, cause content recommendation cannot meet the real demand of user, therefore, the validity of current content recommendation and accuracy lower.
[summary of the invention]
In view of this, embodiments provide a kind of recommend method and device, the validity and the accuracy that improve content recommendation can be realized.
The one side of the embodiment of the present invention, provides a kind of recommend method, comprising:
Determine the current scene information of the user using client;
Obtain the attribute information of the user using described client;
According to the current scene information of described user and the attribute information of described user, obtain content recommendation;
Export described content recommendation.
Aspect as above and arbitrary possible implementation, provide a kind of implementation further, and the described current scene information determining the user using client, comprising:
Positioning action is performed, to obtain the current location of described client place terminal to described client place terminal;
According to current location and the current time of described client place terminal, determine the current scene information of the user using client.
Aspect as above and arbitrary possible implementation, provide a kind of implementation further, the described current location according to described client place terminal and current time, determines the current scene information of the user using client, comprising:
Obtain the operation behavior information of user in the terminal of described client place;
According to the current location of described client place terminal, described current time and described operation behavior information, determine the current scene information of the user of described use client.
Aspect as above and arbitrary possible implementation, provide a kind of implementation further, and described customer attribute information comprises at least one in age, sex, permanent residence information and interest information.
Aspect as above and arbitrary possible implementation, provide a kind of implementation further, the attribute information of the described current scene information according to described user and described user, obtains content recommendation, comprising:
The alternating content matched with the current scene information of described user is obtained from the database preset; Wherein, alternating content is comprised in described database;
From the alternating content that the current scene information with described user matches, obtain the alternating content matched with the attribute information of described user, using as described content recommendation.
The one side of the embodiment of the present invention, provides a kind of recommendation apparatus, comprising:
Scene acquiring unit, for determining the current scene information of the user using client;
Attribute acquiring unit, for obtaining the attribute information of the user using described client;
Contents acquiring unit, for according to the current scene information of described user and the attribute information of described user, obtains content recommendation;
Content output unit, for exporting described content recommendation.
Aspect as above and arbitrary possible implementation, provide a kind of implementation further, described scene acquiring unit, specifically for:
Positioning action is performed, to obtain the current location of described client place terminal to described client place terminal;
According to current location and the current time of described client place terminal, determine the current scene information of the user using client.
Aspect as above and arbitrary possible implementation, a kind of implementation is provided further, described scene acquiring unit is used for according to the current location of described client place terminal and current time, when determining the current scene information of the user using client, specifically for:
Obtain the operation behavior information of user in the terminal of described client place;
According to the current location of described client place terminal, described current time and described operation behavior information, determine the current scene information of the user of described use client.
Aspect as above and arbitrary possible implementation, provide a kind of implementation further, and described customer attribute information comprises at least one in age, sex, permanent residence information and interest information.
Aspect as above and arbitrary possible implementation, provide a kind of implementation, described contents acquiring unit further, specifically for:
The alternating content matched with the current scene information of described user is obtained from the database preset; Wherein, alternating content is comprised in described database;
From the alternating content that the current scene information with described user matches, obtain the alternating content matched with the attribute information of described user, using as described content recommendation.
As can be seen from the above technical solutions, the embodiment of the present invention has following beneficial effect:
Compared with prior art, the technical scheme that the embodiment of the present invention provides, when content recommendation, the attribute information of the current scene and user that combine user realizes determination and the output of content recommendation, thus the content meeting user's recommended requirements can be exported, improve validity and the accuracy of content recommendation.
[accompanying drawing explanation]
In order to be illustrated more clearly in the technical scheme of the embodiment of the present invention, be briefly described to the accompanying drawing used required in embodiment below, apparently, accompanying drawing in the following describes is only some embodiments of the present invention, for those of ordinary skill in the art, under the prerequisite not paying creative work, other accompanying drawing can also be obtained according to these accompanying drawings.
Fig. 1 is the schematic flow sheet of the recommend method that the embodiment of the present invention provides;
Fig. 2 is the functional block diagram of the recommendation apparatus that the embodiment of the present invention provides.
[embodiment]
Technical scheme for a better understanding of the present invention, is described in detail the embodiment of the present invention below in conjunction with accompanying drawing.
Should be clear and definite, described embodiment is only the present invention's part embodiment, instead of whole embodiments.Based on the embodiment in the present invention, those of ordinary skill in the art, not making other embodiments all obtained under creative work prerequisite, belong to the scope of protection of the invention.
The term used in embodiments of the present invention is only for the object describing specific embodiment, and not intended to be limiting the present invention." one ", " described " and " being somebody's turn to do " of the singulative used in the embodiment of the present invention and appended claims is also intended to comprise most form, unless context clearly represents other implications.
Should be appreciated that term "and/or" used herein is only a kind of incidence relation describing affiliated partner, can there are three kinds of relations in expression, and such as, A and/or B, can represent: individualism A, exists A and B simultaneously, these three kinds of situations of individualism B.In addition, character "/" herein, general expression forward-backward correlation is to the relation liking a kind of "or".
Depend on linguistic context, word as used in this " if " can be construed as into " ... time " or " when ... time " or " in response to determining " or " in response to detection ".Similarly, depend on linguistic context, phrase " if determination " or " if detecting (the conditioned disjunction event of statement) " can be construed as " when determining " or " in response to determining " or " when detecting (the conditioned disjunction event of statement) " or " in response to detection (the conditioned disjunction event of statement) ".
Embodiment one
The embodiment of the present invention provides a kind of recommend method, please refer to Fig. 1, the schematic flow sheet of its recommend method provided for the embodiment of the present invention, and as shown in the figure, the method comprises the following steps:
S101, determines the current scene information of the user using client.
S102, obtains the attribute information of the user using described client.
S103, according to the current scene information of described user and the attribute information of described user, obtains content recommendation.
S104, exports described content recommendation.
It should be noted that, terminal involved in the embodiment of the present invention can include but not limited to personal computer (Personal Computer, PC), personal digital assistant (Personal Digital Assistant, PDA), radio hand-held equipment, panel computer (Tablet Computer), mobile phone, MP3 player, MP4 player etc.
It should be noted that, the executive agent of S101 ~ S104 can be recommendation apparatus, this device can be positioned at the application of local terminal, or can also for being arranged in plug-in unit or SDK (Software Development Kit) (the Software Development Kit of the application of local terminal, the functional unit such as SDK), or can also be positioned at server end, the embodiment of the present invention is not particularly limited this.
Be understandable that, described application can be mounted in the application program (nativeApp) in terminal, or can also be a web page program (webApp) of browser in terminal, and the embodiment of the present invention does not limit this.
Embodiment two
Based on the recommend method that above-described embodiment one provides, the embodiment of the present invention, in S101, is determined to use the method for the current scene information of the user of client to be specifically described.This step specifically can comprise:
When using the recommendation function in client as user, need to export to user the content recommendation that can as far as possible meet consumers' demand, in order to obtain the content recommendation needing to export, in the embodiment of the present invention, first need the current scene information determining the user using client.
Illustrate, in the embodiment of the present invention, determine to use the method for the current scene information of the user of client to include but not limited to:
First, positioning action is performed, to obtain the current location of described client place terminal to described client place terminal.Then, according to current location and the current time of described client place terminal, determine the current scene information of the user using client.
Preferably, the current scene information of user of client is used to include but not limited to: before geographic position+lunch break, geographic position+sleep, geographic position+during the journey, geographic position+on the way to office, in geographic position+way of coming off duty or geographic position+leisure at weekend etc.
Preferably, location technology can be utilized to perform positioning action to described client place terminal.
Such as, described location technology can include but not limited at least one in following three kinds of location technologies:
GPS (Global Positioning System, GPS) location technology;
Architecture technology;
Wireless Fidelity (Wireless-Fidelity, Wi-Fi) location technology.
Preferably, according to current location and the current time of described client place terminal, determine to use the method for the current scene information of the user of client to include but not limited to: first, obtain the operation behavior information of user in the terminal of described client place.Then, according to the current location of described client place terminal, described current time and described operation behavior information, the current scene information of the user of described use client is determined.
Preferably, the operation behavior information of described user in the terminal of client place can include but not limited to: the application that user uses in the terminal of client place and/or the query word that user inputs on the client.
Such as, the current location of client place terminal is certain office building, current time is 11: 30, and the query word that user inputs in the terminal of client place is " cuisines " or " shopping ", then can determine that the current scene information of user is " described in office building geographic area+lunch break ".
Again such as, the current location of client place terminal is near certain large-scale scenic spot, and current time is the morning or afternoon, and user uses map class to apply in the terminal of client place, then can determine that the current scene information of user is " xx scenic spot+during the journey ".
It should be noted that, in the embodiment of the present invention, in conjunction with the current location of client place terminal, current time and the user operation behavior in the terminal of client place, the current scene information of user can be determined; Or, also only according to current location and the current time of described client place terminal, the current scene information of the user using client can be determined.Wherein, the current scene information of the user utilizing the former to determine, Billy is higher by the mode accuracy of the latter.
Such as, the current location of client place terminal is near certain megastore, and current time is the morning or the afternoon at weekend, then can determine that the current scene information of user is " xx city+leisure at weekend ".
Again such as, the current location of client place terminal is certain residential building, and current time is 22 points, then can determine that the current scene information of user is " xx city+sleep before ".
Embodiment three
The recommend method provided based on above-described embodiment one and embodiment two, the embodiment of the present invention, in S102, obtains and uses the method for the attribute information of the user of described client to be specifically described.This step specifically can comprise:
Illustrate, in the embodiment of the present invention, obtain and use the method for the attribute information of the user of described client to include but not limited to:
For the client of installing in terminal, there is the unique identification of client.When user uses the recommendation function in this client, first can obtain the unique identification of this client, then utilize this unique identification to search in customer data base, to obtain the attribute information of the user using described client.
Preferably, in the embodiment of the present invention, described customer attribute information can include but not limited at least one in following information: age, sex, permanent residence information and interest information.
Preferably, described interest information can include but not limited to use the interested content of the user of this client, as film, novel or article etc.
Be understandable that, described customer data base, for storing the attribute information of a large number of users, when needing the attribute information obtaining certain user, only needs the unique identification of the client used according to this user to carry out searching in this customer data base.
Preferably, can in advance according to the relevant historical record of user, the attribute information of digging user, and by the attribute information of user excavated and the unique identification of corresponding client, be stored in described customer data base.
Such as, the position history record of the terminal that can use according to user within a period of time, the geographic position that statistics occurrence number is the highest, using the permanent residence information of geographic position the highest for occurrence number as user.
Again such as, according to the search history record of user within a period of time, the query word of user's input can be obtained, then determines each query word generic, and some classifications that statistics occurrence number is the highest further, using the interest information of this some classification as user.
Again such as, user can be worked as when registering on the client, receive age and the sex of user's input.Or, also can according to the browser history record of user or search history record, age of user and sex are inferred, to obtain age and the sex of user.
Such as, the unique identification of client can comprise: called subscriber's identifier (Called UserIdentification number, or mobile device international identity code (International MobileEquipment Identity, IMEI) etc. CUID).
Embodiment four
Based on recommend method, embodiment two and embodiment three that above-described embodiment one provides, the embodiment of the present invention is in S103, and according to the current scene information of described user and the attribute information of described user, the method obtaining content recommendation is specifically described.This step specifically can comprise:
Illustrate, in the embodiment of the present invention, according to the current scene information of described user and the attribute information of described user, the method obtaining content recommendation can include but not limited to:
First, from the database preset, the alternating content matched with the current scene information of described user is obtained; Wherein, alternating content is comprised in described database.Then, from the alternating content that the current scene information with described user matches, obtain the alternating content matched with the attribute information of described user, using as described content recommendation.
Preferably, be previously stored with a large amount of alternating contents in described database, and be the label of each alternating content mark, this label can comprise the applicable scene information of alternating content, age, sex, geographic position and interest information.
Such as, when after the current scene information determining user, can first utilize this current scene information, mate in a database, thus obtain the scene information of mark and the alternating content of this current scene information match, using the alternating content matched as the current scene information with user.Then, the attribute information of recycling user, mates further in the alternating content matched with user's current scene information, thus the alternating content that the attribute information of the information and user that obtain mark matches, using as the content recommendation for exporting.
Wherein, alternating content mark scene information match can include but not limited to current scene information: the scene information that alternating content marks and current scene information consistent, or, scene information and the current scene information of alternating content mark are inconsistent, but both degrees of correlation are greater than default relevance threshold.
Wherein, can the including but not limited to of matching to the attribute information of user of information of alternating content mark: information corresponding in the attribute information of age in the label that alternating content marks, sex, geographic position or interest information and user is consistent.
Be understandable that, utilize the attribute information of user, screen further in the alternating content obtained, can in the alternating content matched with user's current scene information, remove the information of mark and the unmatched alternating content of attribute information of user, the alternating content that the attribute only retaining information and the user marked matches, can improve validity and the accuracy of the content recommendation of acquisition further.
Such as, the label of alternating content mark represents that the geographic position of this alternating content is Beijing, and in the attribute information of user, the permanent residence information of user is Shanghai, then this alternating content can not as content recommendation.
Preferably, in the embodiment of the present invention, described content recommendation can include but not limited at least one in following content: interest point information, life service information, action message and multimedia messages etc.
Such as, described interest point information can include but not limited to: sight spot information, mall information, restaurant or cinema's information etc.
Again such as, described life service information can include but not limited to: Weather information or transport information etc.
Again such as, described action message can include but not limited to: purchase by group action message or exhibition activity information etc.
Again such as, described multimedia messages can include but not limited to: film, novel or music etc.
Embodiment five
Based on recommend method, embodiment two, embodiment three and embodiment four that above-described embodiment one provides, the embodiment of the present invention is in S104, and the method exporting described content recommendation is specifically described.This step specifically can comprise:
If the executive agent of S101 ~ S104 is arranged in local terminal, as the client etc. in local terminal, directly can export by client the described content recommendation obtained.Or if the executive agent of S101 ~ S104 is positioned at server end, this executive agent needs the content recommendation of acquisition to export to client, the content recommendation received can be supplied to user to make client.
Such as, if the current scene information of the user determined is " xx scenic spot+during the journey ", the attribute information of the user obtained is " the elderly ", then according to current scene information " xx scenic spot+during the journey ", mate in a database, the scene information that first have found mark is the content recommendation at " xx scenic spot+during the journey ", and the content recommendation as found comprises cuisines near xx scenic spot and two, other scenic spots classification.Then, utilize the attribute information " the elderly " of user, the content recommendation found is screened further, remove wherein content recommendation unmatched with " the elderly ", as other scenic spots being not suitable for the elderly removed.
The embodiment of the present invention provides the device embodiment realizing each step and method in said method embodiment further.
Please refer to Fig. 2, the functional block diagram of its recommendation apparatus provided for the embodiment of the present invention.As shown in the figure, this device comprises:
Scene acquiring unit 201, for determining the current scene information of the user using client;
Attribute acquiring unit 202, for obtaining the attribute information of the user using described client;
Contents acquiring unit 203, for according to the current scene information of described user and the attribute information of described user, obtains content recommendation;
Content output unit 204, for exporting described content recommendation.
Preferably, described scene acquiring unit 201, specifically for:
Positioning action is performed, to obtain the current location of described client place terminal to described client place terminal;
According to current location and the current time of described client place terminal, determine the current scene information of the user using client.
Preferably, described scene acquiring unit 201 for according to the current location of described client place terminal and current time, when determining the current scene information of the user using client, specifically for:
Obtain the operation behavior information of user in the terminal of described client place;
According to the current location of described client place terminal, described current time and described operation behavior information, determine the current scene information of the user of described use client.
Preferably, described customer attribute information comprises at least one in age, sex, permanent residence information and interest information.
Preferably, described contents acquiring unit 203, specifically for:
The alternating content matched with the current scene information of described user is obtained from the database preset; Wherein, alternating content is comprised in described database;
From the alternating content that the current scene information with described user matches, obtain the alternating content matched with the attribute information of described user, using as described content recommendation.
Because each unit in the present embodiment can perform the method shown in Fig. 1, the part that the present embodiment is not described in detail, can with reference to the related description to Fig. 1.
The technical scheme of the embodiment of the present invention has following beneficial effect:
The embodiment of the present invention is by determining the current scene information of the user using client, and acquisition uses the attribute information of the user of described client; Thus, according to the current scene information of described user and the attribute information of described user, obtain content recommendation; And then, export described content recommendation.
In prior art, according to the historical record of user, realize providing content recommendation to user by the mode of user-association or relevance, by lower for the validity and accuracy making content recommendation.Such as, user A prefers search cuisines class group purchase information, through user-association, find that user B also prefers search cuisines class and purchases by group, utilize prior art, cuisines class user B will bought purchases by group recommends user A, if user A is different from the permanent residence of user B, causes this content recommendation to be invalid to user A.
If utilize the technical scheme that the embodiment of the present invention provides, can according to the current scene of user A, content recommendation is provided to user A, the current scene of user A is determined in real time according to current location and current time, the content recommendation provided to user A like this can meet the current recommended requirements of user A, and validity and the accuracy of content recommendation are higher.Therefore, compared with prior art, the technical scheme that the embodiment of the present invention provides, when content recommendation, the attribute information of the current scene and user that combine user realizes determination and the output of content recommendation, thus the content meeting user's recommended requirements can be exported, improve validity and the accuracy of content recommendation.
Those skilled in the art can be well understood to, and for convenience and simplicity of description, the system of foregoing description, the specific works process of device and unit, with reference to the corresponding process in preceding method embodiment, can not repeat them here.
In several embodiment provided by the present invention, should be understood that, disclosed system, apparatus and method, can realize by another way.Such as, device embodiment described above is only schematic, such as, the division of described unit, is only a kind of logic function and divides, and actual can have other dividing mode when realizing, such as, multiple unit or assembly can in conjunction with or another system can be integrated into, or some features can be ignored, or do not perform.Another point, shown or discussed coupling each other or direct-coupling or communication connection can be by some interfaces, and the indirect coupling of device or unit or communication connection can be electrical, machinery or other form.
The described unit illustrated as separating component or can may not be and physically separates, and the parts as unit display can be or may not be physical location, namely can be positioned at a place, or also can be distributed in multiple network element.Some or all of unit wherein can be selected according to the actual needs to realize the object of the present embodiment scheme.
In addition, each functional unit in each embodiment of the present invention can be integrated in a processing unit, also can be that the independent physics of unit exists, also can two or more unit in a unit integrated.Above-mentioned integrated unit both can adopt the form of hardware to realize, and the form that hardware also can be adopted to add SFU software functional unit realizes.
The above-mentioned integrated unit realized with the form of SFU software functional unit, can be stored in a computer read/write memory medium.Above-mentioned SFU software functional unit is stored in a storage medium, comprising some instructions in order to make a computer installation (can be personal computer, server, or network equipment etc.) or processor (Processor) perform the part steps of method described in each embodiment of the present invention.And aforesaid storage medium comprises: USB flash disk, portable hard drive, ROM (read-only memory) (Read-Only Memory, ROM), random access memory (Random Access Memory, RAM), magnetic disc or CD etc. various can be program code stored medium.
The foregoing is only preferred embodiment of the present invention, not in order to limit the present invention, within the spirit and principles in the present invention all, any amendment made, equivalent replacement, improvement etc., all should be included within the scope of protection of the invention.

Claims (10)

1. a recommend method, is characterized in that, described method comprises:
Determine the current scene information of the user using client;
Obtain the attribute information of the user using described client;
According to the current scene information of described user and the attribute information of described user, obtain content recommendation;
Export described content recommendation.
2. method according to claim 1, is characterized in that, the described current scene information determining the user using client, comprising:
Positioning action is performed, to obtain the current location of described client place terminal to described client place terminal;
According to current location and the current time of described client place terminal, determine the current scene information of the user using client.
3. method according to claim 2, is characterized in that, the described current location according to described client place terminal and current time, determines the current scene information of the user using client, comprising:
Obtain the operation behavior information of user in the terminal of described client place;
According to the current location of described client place terminal, described current time and described operation behavior information, determine the current scene information of the user of described use client.
4. method according to claim 1, is characterized in that, described customer attribute information comprises at least one in age, sex, permanent residence information and interest information.
5. method according to any one of claim 1 to 4, is characterized in that, the attribute information of the described current scene information according to described user and described user, obtains content recommendation, comprising:
The alternating content matched with the current scene information of described user is obtained from the database preset; Wherein, alternating content is comprised in described database;
From the alternating content that the current scene information with described user matches, obtain the alternating content matched with the attribute information of described user, using as described content recommendation.
6. a recommendation apparatus, is characterized in that, described device comprises:
Scene acquiring unit, for determining the current scene information of the user using client;
Attribute acquiring unit, for obtaining the attribute information of the user using described client;
Contents acquiring unit, for according to the current scene information of described user and the attribute information of described user, obtains content recommendation;
Content output unit, for exporting described content recommendation.
7. device according to claim 6, is characterized in that, described scene acquiring unit, specifically for:
Positioning action is performed, to obtain the current location of described client place terminal to described client place terminal;
According to current location and the current time of described client place terminal, determine the current scene information of the user using client.
8. device according to claim 7, is characterized in that, described scene acquiring unit is used for according to the current location of described client place terminal and current time, when determining the current scene information of the user using client, specifically for:
Obtain the operation behavior information of user in the terminal of described client place;
According to the current location of described client place terminal, described current time and described operation behavior information, determine the current scene information of the user of described use client.
9. device according to claim 6, is characterized in that, described customer attribute information comprises at least one in age, sex, permanent residence information and interest information.
10. the device according to any one of claim 6 to 9, is characterized in that, described contents acquiring unit, specifically for:
The alternating content matched with the current scene information of described user is obtained from the database preset; Wherein, alternating content is comprised in described database;
From the alternating content that the current scene information with described user matches, obtain the alternating content matched with the attribute information of described user, using as described content recommendation.
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* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN105828113A (en) * 2016-03-21 2016-08-03 乐视网信息技术(北京)股份有限公司 Program sharing method and device
WO2016150170A1 (en) * 2015-03-25 2016-09-29 百度在线网络技术(北京)有限公司 Recommendation method, device and equipment and computer storage medium
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CN106227723A (en) * 2016-01-25 2016-12-14 百度在线网络技术(北京)有限公司 For recommending application and presenting the method and apparatus recommending application
CN106649400A (en) * 2015-11-03 2017-05-10 阿里巴巴集团控股有限公司 Method, device and system for recommending multimedia object, terminal and server
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CN107885856A (en) * 2017-11-16 2018-04-06 阿里巴巴集团控股有限公司 A kind of page display method and device
CN107886345A (en) * 2016-09-30 2018-04-06 阿里巴巴集团控股有限公司 Choose the method and device of data object
CN108281141A (en) * 2017-12-22 2018-07-13 北京小蓦机器人技术有限公司 A kind of method and apparatus for providing voice-response information
CN109584705A (en) * 2017-09-29 2019-04-05 北京搜狗科技发展有限公司 A kind of map shows method and apparatus
CN109657162A (en) * 2018-12-17 2019-04-19 掌阅科技股份有限公司 Read generation method, electronic equipment and the computer storage medium of map
CN111814039A (en) * 2020-06-08 2020-10-23 珠海格力电器股份有限公司 Information recommendation method and device, terminal and computer readable medium

Families Citing this family (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN109299995B (en) * 2018-08-07 2022-11-29 腾讯科技(深圳)有限公司 Virtual article sending method, device, server and storage medium
CN111898017B (en) * 2019-05-05 2024-05-14 阿里巴巴集团控股有限公司 Information processing method and device
CN110737832A (en) * 2019-09-27 2020-01-31 恒大智慧科技有限公司 Automatic toilet recommendation method in intelligent scenic spot, computer equipment and storage medium
CN111625724A (en) * 2020-05-28 2020-09-04 百度在线网络技术(北京)有限公司 Information processing method, information processing device, electronic equipment and storage medium
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CN117194794B (en) * 2023-09-20 2024-03-26 江苏科技大学 Information recommendation method and device, computer equipment and computer storage medium

Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US6920328B2 (en) * 2001-08-30 2005-07-19 Hewlett-Packard Development Company, L.P. Family calendar notification and tracking
CN102611785A (en) * 2011-01-20 2012-07-25 北京邮电大学 Personalized active news recommending service system and method for mobile phone user
CN103678326A (en) * 2012-09-03 2014-03-26 百度在线网络技术(北京)有限公司 Method and device for providing browsing information based on search result
CN104239466A (en) * 2014-09-02 2014-12-24 百度在线网络技术(北京)有限公司 Method and device for recommending user item and equipment

Family Cites Families (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN103064863B (en) * 2011-10-24 2018-01-12 北京百度网讯科技有限公司 A kind of method and apparatus that recommendation information is provided
CN103248658B (en) * 2012-02-10 2016-04-13 富士通株式会社 Service recommendation device, service recommendation method and mobile device
BR112014023539B1 (en) * 2012-03-24 2022-10-04 Intel Corporation WIRELESS MOBILE DEVICE AND LOCATION-BASED APPLICATION RECOMMENDATIONS GENERATION METHOD
CN104268154A (en) * 2014-09-02 2015-01-07 百度在线网络技术(北京)有限公司 Recommended information providing method and device
CN104731917B (en) * 2015-03-25 2018-06-08 百度在线网络技术(北京)有限公司 A kind of recommendation method and device

Patent Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US6920328B2 (en) * 2001-08-30 2005-07-19 Hewlett-Packard Development Company, L.P. Family calendar notification and tracking
CN102611785A (en) * 2011-01-20 2012-07-25 北京邮电大学 Personalized active news recommending service system and method for mobile phone user
CN103678326A (en) * 2012-09-03 2014-03-26 百度在线网络技术(北京)有限公司 Method and device for providing browsing information based on search result
CN104239466A (en) * 2014-09-02 2014-12-24 百度在线网络技术(北京)有限公司 Method and device for recommending user item and equipment

Cited By (19)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2016150170A1 (en) * 2015-03-25 2016-09-29 百度在线网络技术(北京)有限公司 Recommendation method, device and equipment and computer storage medium
CN106649400A (en) * 2015-11-03 2017-05-10 阿里巴巴集团控股有限公司 Method, device and system for recommending multimedia object, terminal and server
CN106227723A (en) * 2016-01-25 2016-12-14 百度在线网络技术(北京)有限公司 For recommending application and presenting the method and apparatus recommending application
WO2017161775A1 (en) * 2016-03-21 2017-09-28 乐视控股(北京)有限公司 Program sharing method and device
CN105828113A (en) * 2016-03-21 2016-08-03 乐视网信息技术(北京)股份有限公司 Program sharing method and device
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CN106128467A (en) * 2016-06-06 2016-11-16 北京云知声信息技术有限公司 Method of speech processing and device
CN106202260A (en) * 2016-06-29 2016-12-07 百度在线网络技术(北京)有限公司 searching method, device and search engine
CN107025251A (en) * 2016-07-29 2017-08-08 杭州网易云音乐科技有限公司 A kind of data push method and device
CN107025251B (en) * 2016-07-29 2021-07-20 杭州网易云音乐科技有限公司 Data pushing method and device
CN107886345A (en) * 2016-09-30 2018-04-06 阿里巴巴集团控股有限公司 Choose the method and device of data object
CN107886345B (en) * 2016-09-30 2021-12-07 阿里巴巴集团控股有限公司 Method and device for selecting data object
CN109584705A (en) * 2017-09-29 2019-04-05 北京搜狗科技发展有限公司 A kind of map shows method and apparatus
CN109584705B (en) * 2017-09-29 2021-09-17 北京搜狗科技发展有限公司 Map display method and device
CN107885856A (en) * 2017-11-16 2018-04-06 阿里巴巴集团控股有限公司 A kind of page display method and device
CN108281141A (en) * 2017-12-22 2018-07-13 北京小蓦机器人技术有限公司 A kind of method and apparatus for providing voice-response information
CN108281141B (en) * 2017-12-22 2019-10-18 北京小蓦机器人技术有限公司 It is a kind of for providing the method and apparatus of voice-response information
CN109657162A (en) * 2018-12-17 2019-04-19 掌阅科技股份有限公司 Read generation method, electronic equipment and the computer storage medium of map
CN111814039A (en) * 2020-06-08 2020-10-23 珠海格力电器股份有限公司 Information recommendation method and device, terminal and computer readable medium

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