WO2017206784A1 - 媒体信息的展示方法、服务器及存储介质 - Google Patents

媒体信息的展示方法、服务器及存储介质 Download PDF

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Publication number
WO2017206784A1
WO2017206784A1 PCT/CN2017/085834 CN2017085834W WO2017206784A1 WO 2017206784 A1 WO2017206784 A1 WO 2017206784A1 CN 2017085834 W CN2017085834 W CN 2017085834W WO 2017206784 A1 WO2017206784 A1 WO 2017206784A1
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Prior art keywords
user
media information
statistics
message
module
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PCT/CN2017/085834
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English (en)
French (fr)
Inventor
蒋梦婷
汤振东
胡琴
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腾讯科技（深圳）有限公司
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Priority to KR1020187021018A priority Critical patent/KR102082063B1/ko
Priority to EP17805729.5A priority patent/EP3388956A4/en
Priority to JP2018537808A priority patent/JP6694962B2/ja
Publication of WO2017206784A1 publication Critical patent/WO2017206784A1/zh
Priority to US16/030,750 priority patent/US11030656B2/en
Priority to US17/313,812 priority patent/US20210256566A1/en

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    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q30/00—Commerce
    • G06Q30/02—Marketing; Price estimation or determination; Fundraising
    • G06Q30/0241—Advertisements
    • G06Q30/0251—Targeted advertisements
    • G06Q30/0269—Targeted advertisements based on user profile or attribute
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/40—Information retrieval; Database structures therefor; File system structures therefor of multimedia data, e.g. slideshows comprising image and additional audio data
    • G06F16/43—Querying
    • G06F16/435—Filtering based on additional data, e.g. user or group profiles
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/90—Details of database functions independent of the retrieved data types
    • G06F16/903—Querying
    • G06F16/9032—Query formulation
    • G06F16/90332—Natural language query formulation or dialogue systems
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/90—Details of database functions independent of the retrieved data types
    • G06F16/95—Retrieval from the web
    • G06F16/953—Querying, e.g. by the use of web search engines
    • G06F16/9535—Search customisation based on user profiles and personalisation
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
    • G06Q50/01—Social networking
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L67/00—Network arrangements or protocols for supporting network services or applications
    • H04L67/01—Protocols
    • H04L67/10—Protocols in which an application is distributed across nodes in the network

Definitions

  • the present application relates to the field of Internet technologies, and in particular, to a method, a server, and a storage medium for displaying media information.
  • a common promotion method is to carry out targeted promotion, and determine a user population that is directed to promote a certain media information according to the attribute information or historical behavior information of the user, which is called a seed user, and then directed and promoted to the determined seed users. This way of promoting media information is determined by the seed user in advance, so the user audience of the promotion is fixed and does not involve other users than the seed user.
  • the application provides a method for displaying media information, including:
  • each media information operation message is used to indicate an operation performed by a first user for a piece of media information
  • the method includes: a serial number of each media information operation message, an identifier of the corresponding first user, an identifier of the corresponding media information, and an identifier of the corresponding operation;
  • the application also provides a server, including:
  • a receiving module configured to receive at least one media information operation message, where each media information operation message is used to indicate an operation performed by a first user for a media information; and receive a media information acquisition request of a third user;
  • a determining module configured to determine a first user, a media information, and an operation of the media information by the first user, to generate log data, where the log data includes: each media information The sequence number of the operation message, the identifier of the corresponding first user, the identifier of the corresponding media information, and the identifier of the corresponding operation;
  • An acquiring module configured to acquire a social relationship chain of each first user included in the log data, where the social relationship chain of the first user includes at least one second user having a social relationship with the first user ;
  • a statistics module configured to collect, according to the log data, operation statistics of the second user, for each second user of the at least one second user, where the operation statistics of the second user include multiple Identification of media information and operation of each media information Make weights;
  • a selection module configured to: based on the media information acquisition request received by the receiving module, when the operation statistics of the third user are found in the operation statistics of each second user obtained from the statistics module, Selecting at least one piece of media information from the operation statistics of the three users;
  • a sending module configured to return at least one piece of media information selected by the selecting module.
  • the application also provides a non-transitory computer readable storage medium storing computer readable instructions that cause at least one processor to perform the method as described above.
  • FIG. 1 is a schematic flowchart diagram of a method for displaying media information according to an example of the present application
  • FIG. 2 is a schematic diagram of a list of media information operation messages according to an example of the present application.
  • FIG. 3 is a schematic diagram of a list of social relationship chains according to an example of the present application.
  • FIG. 4 is a schematic diagram showing a list of heat coefficients according to an example of the present application.
  • FIG. 5 is a schematic flowchart diagram of a method for displaying media information according to another example of the present application.
  • FIG. 6 is a schematic diagram of an interface of operations on media information according to an example of the present application.
  • FIG. 7a is a schematic diagram of an interface of an output prompt option according to an example of the present application.
  • FIG. 7b is a schematic diagram of an interface for displaying a media information operation message according to an example of the present application.
  • FIG. 8a is a schematic diagram of an interface of a special orientation rule according to an example of the present application.
  • 8b is a schematic diagram of an interface of a special orientation rule according to another example of the present application.
  • FIG. 9 is a schematic diagram of interaction of a method for displaying media information according to an example of the present application.
  • FIG. 10 is a schematic structural diagram of a server according to an example of the present application.
  • FIG. 11 is a schematic structural diagram of a server according to another example of the present application.
  • the displayed media information may be an advertisement provided by an advertiser or other video files for promotion or broadcasting purposes, such as news, public service videos, and the like.
  • the client can be a social application client, such as QQ space, WeChat, Weibo, etc.
  • the user can establish a social relationship chain and share and participate in the received media information. Comments and other operations.
  • FIG. 1 is a schematic flow chart of a method for displaying media information according to an example of the present application. Referring to Figure 1, the method includes:
  • Step 101 Receive at least one media information operation message, where each media information operation message is used to indicate an operation performed by a first user on a media information, and determine, according to the at least one media information operation message, a corresponding Various media information and operations.
  • the media information operation message may carry the identifier of the first user, the identifier of the media information, and the identifier of the operation performed.
  • the operation performed by the first user for a piece of media information may be an operation performed by the first user based on an interactive control provided by the application client for the media information, for example, based on the application client.
  • the clicks, cancellations, favorites, etc. of the interactive buttons provided by the interactive buttons such as clicks, cancellations, clicks, cancellations, forwardings, and favorites for a certain media information, or based on the application client
  • the server operates according to at least one media information received within a predetermined time interval Information, each media information corresponding to each first user and various operations are determined.
  • the server stores the received at least one media information operation message as log data for user behavior for counting and generating a report for the media information operation message. For example, establishing a data list in which the serial number and content of each media information operation message (including the identifier of the first user, the identifier of the operated media information, and the identifier and meaning of the operation) are included and accepted The moment when the media information operates the message.
  • the identifier corresponding to each operation may be preset in the server and the client.
  • FIG. 2 is a schematic diagram of a list of media information operation messages according to an example of the present application.
  • user A comments on an advertisement 1, and the client logged in by user A sends a media information operation message to the server, and the media information operation message serial number is 1.
  • the identifier “User A” of the first user, the identifier “Advertise 1” of the media information, and the identifier “3” corresponding to the comment operation are carried, and the time when the server receives the media information operation message is 9:25.
  • the client logged in by the user B will send a media information operation message to the server, and the media information operation message serial number is 2, carrying the identifier of the first user “user B”, The identifier of the media information "News 1" and the identifier "1" corresponding to the click operation, the time when the server receives the media information operation message is 9:40. It can be seen that the media information operation message received by the server may include different first user operations on different media information.
  • the media information operation message of sequence number 3 the first user is also user A, the media information operated is advertisement 2, and the operation is “cancel”, and it can be seen that the media information operation message received by the server can be Including the same first user's operation on different media information.
  • the operation of "cancel” and “cancel step” as the reverse operation which indicates that the first user has liked and clicked on the media information before, so it can be seen that the media information operation message received by the server can also be It includes different operations of the same first user on the same media information.
  • the user C performs the praise operation on the advertisement 1, and the user D performs the comment operation on the advertisement 1.
  • the client logged in by the user C sends a media information operation message to the server, and the media information operation message serial number is 4, and carries There is a third user's identifier "user C", a media information identifier "advertisement 1", and an identifier "1" corresponding to the click operation.
  • the time at which the server receives the media information operation message is 13:09. For example, if the user D performs a comment operation on the advertisement 1, the client logged in by the user D will send a media information operation message to the server.
  • the media information operation message serial number is 5, and the identifier of the fourth user is carried.
  • the identifier of the media information "Advertise 1" and the identifier "3" corresponding to the comment operation, the time when the server receives the media information operation message is 17:00. It can be seen that the media information operation message received by the server may include operations of different first users on the same media information.
  • Step 102 Acquire a social relationship chain of the first user corresponding to each media information operation message, where the social relationship chain of the first user includes at least one second user having a social relationship with the first user.
  • the social relationship chain of the first user is a set of all second users having a social relationship with the first user or a set of partial second users.
  • the social relationship chain is a friend relationship chain
  • the second user is a first user's friend.
  • the same second user may be included in the social relationship chain of the plurality of first users, that is, the plurality of first users have the same friend.
  • FIG. 3 is a schematic diagram of a list of social relationship chains in accordance with an example of the present application.
  • the corresponding first user is user A
  • the social relationship chain includes friend A1, friend A2, ..., friend AN.
  • the first user corresponding to the media information operation message of sequence number 4 is user C
  • the social relationship chain includes friend A1, friend C2, ..., friend CN.
  • the media information operation message with the sequence number 5 corresponds to the first user being the user D
  • the social relationship chain includes the friend A1, the friend D2, ..., the friend DN. It can be seen that the friend relationship chain of the user A, the user C, and the user D includes the same second user, that is, the friend A1.
  • Step 103 Calculate operation statistics of each second user in each social relationship chain according to the determined media information and operations.
  • the second user's operation statistics may be counted according to the log data.
  • the operation statistics of the second user include an identifier of the plurality of media information and an operation weight of each media information.
  • each media information and each operation corresponding to each first user in the social relationship chain of the second user may be counted to obtain the The operational statistics of the second user. That is, the operation of the media information by the first user is mapped to the operation statistics of the second user by using the social relationship chain, and is used to represent the media information that the second user is radiated as a friend.
  • the second user is the friend A1
  • the first user in the social relationship chain of the friend A1 includes the user A, the user C, and the user D.
  • the user A corresponds to the media information "Advertise 1" and the operation “Comment” and the corresponding media information "Ad 2" and the operation “Cancel”
  • the user C corresponds to the media information "Advertise 1” and the operation "Like”
  • the user D corresponds to the media information "Advertisement 1" and the operation "Comment”.
  • the operation statistics are for each second user, and the corresponding media information and the operation weight of each media information are given.
  • the media information corresponding to each first user in the social relationship chain of the friend A1 includes: “Advertise 1”, “Ad 2”,..., “ Advertising X”.
  • the operation of the advertisement 1 includes “comment” and “like", wherein the first user who performs the “comment” includes the user A. And user D, the first user who performs "likes” includes user C.
  • a sub-weight for the operation is calculated based on the heat coefficient of each first user performing the operation in the social relationship chain of the second user.
  • the sub-weights Wk,j of the media information and the jth operation can be calculated as:
  • the social relationship chain may be hierarchically divided according to the feature factors and interaction behavior between the two users, and the application context may determine the corresponding heat coefficient for each user in the social relationship chain according to the heat level to which the user belongs.
  • the feature factors include: the frequency of contact of two users in the social application platform, the frequency of accessing the friend space, the grouping of friends according to the relationship, the coincidence degree of the friends, the degree of interest matching, and the like.
  • Interactive behavior refers to the operation of the friend's information flow, including the likes, comments, and other operations.
  • An application scenario is a scenario in which a friend's stream of information is operated, such as an interaction in a birthday page card.
  • the heat level includes three levels, namely “intimate relationship (direct friend)”, “strong relationship chain (direct friend)” and “weak relationship chain (indirect friend)”, respectively corresponding to the heat coefficient 80%, 50 % and 30%.
  • direct friends in intimate relationships include parents, lovers, people with special interest, etc.
  • direct friends in a strong relationship chain include colleagues, classmates, ordinary friends, work partners, etc.
  • indirect friends in a weak relationship chain include Friends of direct friends, friends with common friends, but not direct friends.
  • the above classification of heat levels The value of the heat and the coefficient of the heat is only an example, and there may be other ways of dividing. This application does not specifically limit this.
  • FIG. 4 is a schematic diagram showing a list of heat coefficients according to an example of the present application.
  • the heat coefficient of user A in the social relationship chain of friend A1 is 80% in the first user, and the heat coefficient of user D in the social relationship chain of friend A1 is 50%.
  • the sub-weight of the operation "comment” can be calculated according to the above formula (1) to be 0.65.
  • the first user further includes the user C, and the heat coefficient of the user C in the social relationship chain of the friend A1 is 30%.
  • the operation “likes” can be calculated according to the above formula (1).
  • the child weight is 0.3.
  • the operation weight Wk of the kth media information is:
  • the priority of each operation is “Comment”, “Like”, “Forward”, “Favorite”, “Tap”, and the corresponding priority factors are 90%, 80%, 60 respectively. %, 30%, -10%.
  • the priority factors of "unlike” and “cancel step” take the negative values of "like” and “tap”, which are -80% and 10%, respectively.
  • the operation statistics of each second user include an identifier of a plurality of media information and an operation weight of each media information. And the operation statistics of each second user are stored by using the user identifier of each second user as an index to indicate the user corresponding to the operation statistics.
  • Step 104 Receive a media information acquisition request of a third user, when from each second user When the operation statistics of the third user are found in the operation statistics, at least one piece of media information is selected from the operation statistics of the third user, and at least one piece of media information is returned.
  • the second client sends a media information acquisition request to the server.
  • the server searches for the operation statistics of the third user from the operation statistics of each second user.
  • the media information obtaining request may include the user identifier of the third user, and the server may search, according to the user identifier of the third user, the operating statistics of the second user that is stored by the server.
  • the operation statistics corresponding to the user identifier of the third user When found, at least one piece of media information is selected from the operation statistics of the third user, and at least one piece of media information is sent to the second client.
  • the quantity of the selected media information may be preset, for example, according to the display requirement of the promoter of the media information.
  • the selection of the media information may be performed according to the operation weight of the media information included in the operation statistics, for example, selecting a predetermined amount of media information with the largest operation weight, and selecting the selected media. Information is fed back to the second client.
  • selection may also or alternatively be based on special targeting rules. In the present application, the above method of selecting media information according to the operation weight of the media information and/or the special orientation rule will be described in detail later.
  • the social relationship chain of the first user corresponding to each media information operation message is obtained by receiving at least one media information operation message from the at least one first client, according to the determined media information and operations.
  • the operation statistics of each second user in each social relationship chain are counted, and the media information acquisition request of the third user is received from the second client, and the operation statistics of the third user are found in the operation statistics of the second user.
  • At least one media information is selected from the operation statistics of the third user, and the at least one media information is sent to the second client, so that the promotion of the media information is radiated to the first user through the operation of the first user and the social relationship chain.
  • the second user is not included in the targeted promotion group of the media information, but the second user can receive the medium through the technical solution.
  • Body information visible, tapped the promotion channels of media information, expanded the display surface and promotion depth of media information, so that the audience receiving the media information was extended by the targeted group to the variable social group; in addition, the server statistics were good.
  • the operation statistics of the two users can push the media information in real time when receiving the media information acquisition request, which reduces the response delay for the media information request. Therefore, the technical solution improves the efficiency of media information promotion and the resource utilization rate of the media information display device.
  • FIG. 5 is a schematic flowchart diagram of a method for displaying media information according to another example of the present application. As shown in Figure 5, the following steps are included:
  • Step 501 Receive at least one media information operation message from at least one first client, where each media information operation message is used to indicate an operation performed by a first user for a piece of media information.
  • each first client receives an operation performed by the first user for a piece of media information, and sends a media information operation message to the server.
  • FIG. 6 is a schematic diagram of an interface to operation of media information according to an example of the present application.
  • the information flow received by the first client is displayed in the interface 600, wherein a media information is displayed at block 610: advertisement 1, titled "Drip to hitchhiking", and corresponding graphics are provided.
  • a number of user action options are provided in block 620, including praise 621, step 622, comment 623, forward 624, and favorite 625.
  • praise 621, step 622 and comment 623 all have comment function
  • praise 621, step 622 is used to operate from both sides, users can like, cancel, like, step and cancel the step; after the user clicks on the comment 623, Specific comment information is entered in block 630.
  • the first client After the first user logs in to the first client and operates on any of the user operation options described above, the first client sends a media carrying the identifier of the first user, the identifier of the media information, and the identifier of the operation to the server. Information operation message.
  • Step 502 For each media information operation message, when determining the media information operation When the message is associated with a second user, the media information operation message is sent to the third client where the second user is located.
  • the association of the media information operation message with a second user means that the operation of the first user on the media information is directed to a second user.
  • the first user's operation on the media information is to reply to the previously published comment of the second user, or the first user adds the identity of the second user when posting a new comment, for example, using the "@second user" method.
  • the media information operation message further includes the identifier of the second user pointed to.
  • the association of the media information operation message with a second user means that the first user has special rights in the social relationship chain of the second user.
  • the first user is a special friend, and after the first user posts the comment, the server can determine the media information operation message according to the preset social agreement.
  • the second user is associated.
  • the server When it is determined that the media information operation message is associated with a second user, the server sends a media information operation message to the third client where the second user is located, so that the third client outputs a prompt option according to the media information operation message. After receiving the operation of the second user to the prompt option, the media information operation message is displayed.
  • FIG. 7a is a schematic diagram of an interface of an output prompt option according to an example of the present application.
  • a stream of information for the second user is displayed in block 711, which may include information of friends of the second user, media information initially directed to the second user, and The server selects one or more media information according to the operation statistics.
  • a prompt option is displayed in block 712, indicating that the text "related to me" in 7121 and the number of media information operation message information displayed in 7122 are three.
  • FIG. 7b is a schematic diagram of an interface for displaying a media information operation message according to an example of the present application.
  • the second client enters interface 720 to present the media information operational message.
  • display the first a user's information including the nickname of user A displayed in block 721 and the avatar of user A displayed in block 722; the operation performed by the first user is displayed in block 723, ie, the text comment "Great! is published;
  • the media information operated by the first user is displayed in block 724, for example, in the form of a thumbnail of the advertisement 1 "Drip Punch".
  • Step 503 Receive a first user operation indication for the prompt option from the third client, and count the number of times the media information operation message is displayed based on the first user operation indication received within the first predetermined time period.
  • the media information operation message is displayed.
  • the server can count the number of times the media information operation message is displayed at the second user by receiving the first user operation indication for the prompt option.
  • Step 504 Receive a second user operation indication for the media information operation message from the third client, and count the number of times the media information is displayed based on the second user operation indication received within the second predetermined time period.
  • the interface of the third client will enter the original interface in which the first user operates on the media information as shown in FIG. 6.
  • the server counts the number of times the media information is displayed by receiving a second user operation indication for the media information.
  • steps 502-504 are processes performed when the media information operation message is associated with a second user, and implement passive information reminding of the promotion information via the social relationship chain.
  • steps 505 through 508 may be continued.
  • Step 505 Determine, according to the at least one media information operation message, each media information and each operation corresponding to each first user.
  • Step 506 Acquire a social relationship chain of the first user corresponding to each media information operation message.
  • the server may select a part of the second user who is hot in front of the complete social relationship chain according to the friend's heat coefficient, for example, the selection heat is ranked before. 100 second users.
  • the server may establish a data structure for storage: ⁇ u0,sns_id,acttype,(u1,w1), (u2,w2)...(u100,w100) ⁇ , where u0 represents the media
  • u0 represents the media
  • sns_id represents the identifier of the irradiated media information
  • acttype represents the identifier of the operation performed
  • wi represents the socialization of the friend in u0.
  • the heat in the relationship chain is the heat in the relationship chain.
  • Step 507 Calculate operation statistics of each second user in each social relationship chain according to the determined media information and operations.
  • the media information corresponding to each first user in the social relationship chain of the second user may be eliminated.
  • the specific method is as follows:
  • the first user in the social relationship chain of the friend A1 has the user A, the user C, and the user D, and all three users correspond to the media information “Advertising 1”, and are received.
  • the media information operation message (numbers 1, 4, 5) corresponding to "Advertise 1”
  • the last received media information operation message with sequence number 5 and the last received time is 17:00, then the time corresponding to "Advertise 1" is recorded.
  • each media message is recorded with a last received time.
  • the media information is arranged in descending order, and arranged in descending order.
  • the server can establish a data structure of the operation statistics data in a key-value manner for storage.
  • the data structure is represented as (key, value), taking the operation as a like and comment as an example, and the operation weight of each media information is stored as the sub-weight of each operation.
  • the key is the identifier uin of the second user, and the value is ⁇ (sns_id0, zan_num, ping_num, zan_weight, ping_weight, timestamp)...(sns_id100, zan_num, ping_num, zan_weight, ping_weight, timestamp) ⁇ , where sns_id indicates that the friend is The identifier of the media information radiated, zan_num indicates the number of times the friend likes it, ping_num indicates the number of times the friend has commented, zan_weight indicates the number of times of praise and the weight of the friend who likes the friend's popularity, and ping_weight indicates the number of comments and comments.
  • the sub-weight obtained by the heat, timestamp represents the last received time. Value can be limited to store 100 packets, and eliminated according to timestamp.
  • Step 508 Receive a media information acquisition request of the third user from the second client, and select the operation statistics of the third user when the operation statistics of the third user are found in the operation statistics of the second user. At least one piece of media information is sent, and at least one piece of media information is sent to the second client.
  • the server first searches for the operation statistics corresponding to the third user from the operation statistics of the second user, that is, whether the third user has media information radiated by the friend. Then, at least one piece of media information is selected from the operation statistics of the third user, which may be specifically performed in the following two manners.
  • the operation statistics include an identifier of the plurality of media information and an operation weight of each media information, and the operation weights of all the media information in the operation statistics of the third user are descended, in descending order.
  • Arrange and select the first L operating rights The corresponding media information, where L is a positive integer greater than or equal to 1. For example, L 1, only one media information in the operation statistics is pushed at a time.
  • the special targeting rule associates the type of media information with the attribute information of the user. If a piece of media information belongs to a type of media information set in advance, and the attribute information of the third user satisfies a preset attribute category, the media information is selected.
  • the attribute information of the user includes the gender, age, marital status, and the like of the user.
  • FIG. 8a is a schematic diagram of an interface of a special orientation rule according to an example of the present application.
  • the types of pre-set media information include alcohol advertisements, marriage advertisements, and month-center advertisements, which respectively give the numbers of the three types of advertisements.
  • the special targeting rules are associated by the type of operating system. If the type of the operating system where the second client is located is the same as the type of the operating system to which the media information belongs, the media information is selected.
  • FIG. 8b is a schematic diagram of an interface of a special orientation rule according to another example of the present application.
  • the media information is an application applied to the iOS operating system, and the media information is directed to the second client applied to the iOS operating system, that is, the iOS user is forcibly directed.
  • the media information is an application applied to the Android operating system, and the media information is directed to the second client applied to the Android operating system, that is, the Android user is forcibly directed.
  • the method for selecting media information shown in the foregoing manners 1 and 2 may also be used in combination.
  • the method may be selected according to the second manner according to the second manner, and then the operation is selected from the selected media information.
  • the media information operation message when it is determined that the media information operation message is associated with a second user, the media information operation message is sent to the third client where the second user is located, and the pair is implemented.
  • the passive information reminder of media information triggered more interactive advertising and improved the coverage of advertising promotion.
  • the server can count the exposure amount of the media information being passively radiated to the second user and the exposure of the second user to the advertisement detail page based on the first user operation indication and the second user operation indication received from the third client. The amount is useful for traffic statistics of passive information reminders and for evaluating the promotion effect of passive reminders.
  • the media information displayed to the friend is selected by the operation weight of each media information, so that the media information that is not originally directed to the friend is displayed, or the media information that is not preferentially displayed to the friend is preferentially pushed due to the increase of the weight.
  • the friend performs the display, so that the promotion of the media information is no longer limited by the original orientation.
  • the social relationship chain realizes the efficient spread of the point and the face, and increases the expandable space of more social nature.
  • selecting a special targeting rule to filter the displayed media information can further define the targeting rules for the friend to push the media information on the basis of the social relationship chain, and provide a combinable targeting strategy to satisfy the media information promoters.
  • Various types of promotion needs are possible to satisfy the media information promoters.
  • FIG. 9 is a schematic diagram of interaction of a method for displaying media information according to an example of the present application, including a server, at least one first client, a second client, and a third client.
  • the first user corresponding to the first client initiates an operation on a piece of media information
  • the second user corresponding to the second client and the third user corresponding to the third client are respectively in a social relationship chain, wherein The second user receives the passive information reminder
  • the third user receives the media information that has been operated by the first user.
  • the method includes the following steps:
  • Step 901 Each first client receives an operation performed by a first user for a piece of media information.
  • Step 902 Each first client sends a media information operation message to the server.
  • Step 903 For each media information operation message, the server determines whether the media information operation message is associated with a second user. Wherein the second user is in the social relationship chain of the first user.
  • Step 904 When it is determined that the media information operation message is associated with a second user, the server sends a media information operation message to the second client where the second user is located.
  • Step 905 The second client outputs a prompt option according to the media information operation message.
  • Step 906 After receiving the operation of the second user to prompt the option, the second client displays the media information operation message, and sends a first user operation indication for the prompt option to the server.
  • Step 907 The server counts the number of times the media information operation message is displayed based on the first user operation indication received within the first predetermined time period.
  • Step 908 After receiving the operation of the second user on the media information operation message, the second client sends a second user operation indication to the server.
  • Step 909 The server counts the number of times the media information is displayed based on the second user operation indication received in the second predetermined time period.
  • Step 910 The server determines, according to the at least one media information operation message, each media information and each operation corresponding to each first user, and generates log data.
  • Step 911 The server acquires a social relationship chain of the first user corresponding to each media information operation message, and generates operation statistics data of each second user in each social relationship chain according to the determined media information and each operation.
  • Step 912 The third client receives the login operation of the third user, and sends a media information acquisition request to the server.
  • Step 913 The server searches for the presence of the first user from the operation statistics of the second user. Three user operation statistics. If yes (may be that the third user belongs to the set of the second user, at this time, the server can find the operation statistics of the third user from the operation statistics of each second user), perform step 915; otherwise (ie, The third user does not belong to the set of the second user. At this time, the server cannot find the operation statistics of the third user from the operation statistics of each second user, and step 914 is performed.
  • Step 914 The server returns a third user's normal information flow to the third client, including information of the third user's friends and one or more media information previously directed to the third user.
  • Step 915 The server selects at least one piece of media information from the operation statistics of the third user, and returns a common information flow of the third user and the selected at least one piece of media information to the third client.
  • Step 916 The third client displays the information flow received from step 914 or step 915.
  • FIG. 10 is a schematic structural diagram of a server 1000 according to an example of the present application. As shown in FIG. 10, the server 1000 includes:
  • the receiving module 1010 is configured to receive at least one media information operation message, where each media information operation message is used to indicate an operation performed by a first user for a media information, and receive a media information acquisition request of a third user;
  • the determining module 1020 is configured to determine, according to the at least one media information operation message received by the receiving module 1010, each media information and each operation corresponding to each first user;
  • the obtaining module 1030 is configured to acquire a social relationship chain of the first user corresponding to each media information operation message, where the social relationship chain of the first user includes at least one second user having a social relationship with the first user;
  • the statistics module 1040 is configured to count, according to each media information determined by the determining module 1020 and the social relationship chain acquired by each operation and acquisition module 1030, each second in each social relationship chain. Statistics of the user's operation; wherein, for each second user, statistics are performed on each media information and operations corresponding to each first user in the social relationship chain of the second user to obtain an operation of the second user. Statistics; and,
  • the selecting module 1050 is configured to perform, according to the media information obtaining request received by the receiving module 1010, when the operation statistics of the third user are found in the operation statistics data of each second user obtained from the statistic module 1040, the operation from the third user Selecting at least one piece of media information in the statistical data;
  • the sending module 1060 is configured to return at least one piece of media information selected by the selecting module 1050.
  • the operations performed by the first user on a piece of media information include any one of any of the likes, cancellations, clicks, cancellations, comments, forwardings, favorites, and any of the items;
  • the statistic module 1040 is configured to: perform, for each second user, for each media information corresponding to each first user in the social relationship chain of the second user, perform the following operations: determining various operations performed on the media information, and Performing at least one first user for each operation; for each operation, calculating a sub-weight for the operation according to a heat coefficient of each first user performing the operation in the social relationship chain of the second user; The priority of each operation set in advance and the calculated sub-weight of each operation are calculated, and the operation weight of each media information is calculated.
  • the operation statistics include an identifier of the plurality of media information and an operation weight of each of the media information
  • the selecting module 1050 is configured to perform the descending order of the operation weights of all the media information in the operation statistics of the third user, and select the media information corresponding to the first L operation weights according to the descending order, where L is greater than or equal to 1. Integer.
  • the selecting module 1050 is configured to: if a piece of media information belongs to a type of pre-set media information, and the attribute information of the third user satisfies a preset attribute category, Then select the media information; and/or,
  • the media information is selected.
  • the sending 1060 module is further configured to: for each media information operation message, when it is determined that the media information operation message is associated with a second user, send the media information to the client where the second user is located.
  • the message is operated to enable the client to output a prompting option according to the media information operation message, and after receiving the operation of the prompting option by the second user, displaying the media information operation message.
  • the receiving module 1010 is further configured to receive a first user operation indication for the prompting option
  • the statistics module 1040 is further configured to: according to the first user operation indication received by the receiving module 1010 in the first predetermined time period, count the number of times the media information operation message is displayed; and/or,
  • the receiving module 1010 is further configured to receive a second user operation indication for the media information operation message
  • the statistics module 1040 is further configured to count the number of times the media information is displayed based on the second user operation indication received by the receiving module 1010 during the second predetermined time period.
  • the statistic module 1040 is configured to, for each second user, record, for each media information corresponding to each first user in the social relationship chain of the second user, a corresponding one of the last received media information. The time at which the media information operates the message; sorting the media information in descending order according to the time, and performing statistics on the media information corresponding to the first V times in the descending order to obtain operation statistics of the second user, where V Is a positive integer greater than or equal to 1.
  • FIG. 11 is a schematic structural diagram of a server 1100 according to another example of the present application.
  • the server 1100 includes a processor 1110, a memory 1120, a port 1130, and a bus 1140.
  • the processor 1110 and the memory 1120 are interconnected by a bus 1140.
  • the processor 1110 can receive and transmit data through the port 1130. among them,
  • the processor 1110 is configured to execute a machine readable instruction module stored by the memory 1120.
  • the memory 1120 stores a machine readable instruction module executable by the processor 1110.
  • the instruction module executable by the processor 1110 includes a receiving module 1121, a determining module 1122, an obtaining module 1123, a statistic module 1124, a selecting module 1125, and a sending module 1126. among them,
  • the receiving module 1121 when executed by the processor 1110, may be: receiving at least one media information operation message, where each media information operation message is used to indicate an operation performed by a first user for a piece of media information; and receiving a media of a third user Information acquisition request;
  • the determining module 1122 is executed by the processor 1110, and may: determine, according to the at least one media information operation message received by the receiving module 1121, each media information and each operation corresponding to each first user;
  • the obtaining module 1123 is executed by the processor 1110, and may be: acquiring a social relationship chain of the first user corresponding to each media information operation message, where the social relationship chain of the first user includes at least one second user having a social relationship with the first user. ;
  • the statistic module 1124 When the statistic module 1124 is executed by the processor 1110, the statistic data of each second user in each social relationship chain is counted according to the media information determined by the determining module 1122 and the social relationship chain acquired by each operation and obtaining module 1123; And collecting, for each second user, media information and operations corresponding to each first user in the social relationship chain of the second user, to obtain operation statistics of the second user;
  • the selection module 1125 When the selection module 1125 is executed by the processor 1110, it may be: based on the media information acquisition request received by the receiving module 1121, when the operation statistics of the third user are found in the operation statistics of the second users obtained from the statistics module 1124, Selecting at least one piece of media information from operation statistics of the third user;
  • the sending module 1126 When executed by the processor 1110, it may be: return selection module 1125 Select at least one piece of media information.
  • each functional module in each example of the present application may be integrated into one processing unit, or each module may exist physically separately, or two or more modules may be integrated into one unit.
  • the above integrated unit can be implemented in the form of hardware or in the form of a software functional unit.
  • each of the examples of the present application can be implemented by a data processing program executed by a data processing device such as a computer.
  • the data processing program constitutes the present application.
  • a data processing program usually stored in a storage medium is executed by directly reading a program out of a storage medium or by installing or copying the program to a storage device (such as a hard disk and or a memory) of the data processing device. Therefore, such a storage medium also constitutes the present application.
  • the storage medium can use any type of recording method, such as paper storage medium (such as paper tape, etc.), magnetic storage medium (such as floppy disk, hard disk, flash memory, etc.), optical storage medium (such as CD-ROM, etc.), magneto-optical storage medium ( Such as MO, etc.).
  • the present application also discloses a storage medium in which is stored a data processing program for performing any of the above examples of the methods of the present application.

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Abstract

本申请公开了一种媒体信息的展示方法及服务器。该方法包括：接收至少一个媒体信息操作消息，确定每一个媒体信息操作消息对应的第一用户、媒体信息以及所述第一用户对所述媒体信息的操作，生成日志数据；获取日志数据中所包含每一个第一用户的社交关系链；针对社交关系链中的每一个第二用户，根据日志数据统计第二用户的操作统计数据；及，接收第三用户的媒体信息获取请求，当从各第二用户的操作统计数据中查找到第三用户的操作统计数据时，从第三用户的操作统计数据中选择出至少一个媒体信息，并返回至少一个媒体信息。

Description

媒体信息的展示方法、服务器及存储介质
本申请要求于2016年06月01日提交中国专利局、申请号为201610379714.7、发明名称为“媒体信息的展示方法及服务器”的中国专利申请的优先权，其全部内容通过引用结合在本申请中。
技术领域
本申请涉及互联网技术领域，尤其涉及一种媒体信息的展示方法、服务器及存储介质。
背景
目前，用户在网站上或者在应用程序(APP)中进行社交活动时，除了接收到好友发表的信息外，还会接收到推送的其他媒体信息，例如文字、图片、图文、视频等形式的广告、新闻或者公益宣传片等。常见的推广方式是进行定向推广，根据用户的属性信息或者历史行为信息确定定向推广某一媒体信息的用户人群，被称为种子用户，然后向确定的这些种子用户定向推广。这种定向推广媒体信息的方式，种子用户是事先确定的，因此推广的用户受众面是固定的，并不涉及种子用户之外的其他用户。
技术内容
本申请提供了一种媒体信息的展示方法，包括：
接收至少一个媒体信息操作消息，其中，每个媒体信息操作消息用于指示一第一用户针对一媒体信息所做的操作；
确定每一个媒体信息操作消息对应的第一用户、媒体信息以及所述第一用户对所述媒体信息的操作，生成日志数据；其中，所述日志数据 包括：每个媒体信息操作消息的序号、所对应第一用户的标识、所对应媒体信息的标识以及所对应操作的标识；
获取所述日志数据中所包含每一个第一用户的社交关系链；其中，所述第一用户的社交关系链包括与所述第一用户具有社交关系的至少一个第二用户；
针对所述至少一个第二用户中的每一个第二用户，根据所述日志数据统计所述第二用户的操作统计数据；其中，所述第二用户的操作统计数据包括多个媒体信息的标识以及每个媒体信息的操作权重；及，
接收第三用户的媒体信息获取请求，当从各第二用户的操作统计数据中查找到所述第三用户的操作统计数据时，从所述第三用户的操作统计数据中选择出至少一个媒体信息，并返回所述至少一个媒体信息。
本申请还提供了一种服务器，包括：
接收模块，用于接收至少一个媒体信息操作消息，其中，每个媒体信息操作消息用于指示一第一用户针对一媒体信息所做的操作；接收第三用户的媒体信息获取请求；
确定模块，用于确定每一个媒体信息操作消息对应的第一用户、媒体信息以及所述第一用户对所述媒体信息的操作，生成日志数据；其中，所述日志数据包括：每个媒体信息操作消息的序号、所对应第一用户的标识、所对应媒体信息的标识以及所对应操作的标识；
获取模块，用于获取所述日志数据中所包含每一个第一用户的社交关系链；其中，所述第一用户的社交关系链包括与所述第一用户具有社交关系的至少一个第二用户；
统计模块，用于针对所述至少一个第二用户中的每一个第二用户，根据所述日志数据统计所述第二用户的操作统计数据；其中，所述第二用户的操作统计数据包括多个媒体信息的标识以及每个媒体信息的操 作权重；及，
选择模块，用于基于所述接收模块接收的媒体信息获取请求，当从上述统计模块得到的各第二用户的操作统计数据中查找到所述第三用户的操作统计数据时，从所述第三用户的操作统计数据中选择出至少一个媒体信息；
发送模块，用于返回所述选择模块选择出的至少一个媒体信息。
本申请还提供了一种非易失性计算机可读存储介质，存储有计算机可读指令，可以使至少一个处理器执行如上所述的方法。
附图简要说明
图1为依据本申请一实例的媒体信息的展示方法的流程示意图；
图2为依据本申请一实例的媒体信息操作消息的列表示意图；
图3为依据本申请一实例的社交关系链的列表示意图；
图4为依据本申请一实例的热度系数的列表示意图；
图5为依据本申请另一实例的媒体信息的展示方法的流程示意图；
图6为依据本申请一实例的对媒体信息的操作的界面示意图；
图7a为依据本申请一实例的输出提示选项的界面示意图；
图7b为依据本申请一实例的展示媒体信息操作消息的界面示意图；
图8a为依据本申请一实例的特殊定向规则的界面示意图；
图8b为依据本申请另一实例的特殊定向规则的界面示意图；
图9为依据本申请一实例的媒体信息的展示方法的交互示意图；
图10为依据本申请一实例的服务器的结构示意图；
图11为依据本申请另一实例的服务器的结构示意图。
实施方式
下面将结合本申请实例中的附图，对本申请实例中的技术方案进行清楚、完整地描述，显然，所描述的实例是本申请一部分实例，而不是全部的实例。基于本申请中的实例，本领域普通技术人员在没有做出创造性劳动前提下所获得的所有其他实例，都属于本申请保护的范围。
本申请的实例中，所展示的媒体信息作为一种推广信息，可以为由广告主提供的广告或者以推广或者广播为目的其他视频文件，如新闻、公益宣传片等。客户端可以为社交应用客户端，例如QQ空间、微信、微博等，在该社交应用客户端提供的社交应用平台上，用户可以建立社交关系链，并对接收到的媒体信息进行分享、参与评论等各项操作。
图1为依据本申请一实例的媒体信息的展示方法的流程示意图。参见图1，该方法包括：
步骤101、接收至少一个媒体信息操作消息，其中，每个媒体信息操作消息用于指示一第一用户针对一媒体信息所做的操作，根据至少一个媒体信息操作消息，确定各第一用户对应的各媒体信息以及各项操作。
本步骤中，媒体信息操作消息可以携带有第一用户的标识、媒体信息的标识以及所做的操作的标识。在本申请的一些实例中，上述第一用户针对一媒体信息所做的操作可以为所述第一用户基于应用客户端提供的针对媒体信息的互动控件所做的操作，例如，基于应用客户端提供的针对某个媒体信息的点赞、取消赞、点踩、取消踩、转发以及收藏等互动按键做出的点击这些互动按键的点赞、取消赞、收藏等操作，或者基于应用客户端提供的针对某个媒体信息的评论文本框互动控件做出的评论操作等等。
服务器根据在预定时间间隔内接收到的至少一个媒体信息操作消 息，确定各第一用户对应的各媒体信息以及各项操作。在一实例中，服务器将接收到的至少一个媒体信息操作消息存储为针对用户行为的日志数据，用于统计和生成针对媒体信息操作消息的报表。例如，建立一数据列表，在该数据列表中包含有每个媒体信息操作消息的序号、内容(包括第一用户的标识、已操作的媒体信息的标识以及操作的标识和含义)以及接受到该媒体信息操作消息的时刻等。在具体实现时，可以在服务器和客户端预先设置各项操作所对应的标识。
图2为依据本申请一实例的媒体信息操作消息的列表示意图。如图2所示，在一社交应用平台中，用户A对一个广告1发表了评论，那么用户A所登陆的客户端将向服务器发送一个媒体信息操作消息，该媒体信息操作消息序号为1，携带有第一用户的标识“用户A”、媒体信息的标识“广告1”以及评论操作所对应的标识“3”，服务器接收到该媒体信息操作消息的时刻为9:25。又如，用户B对新闻1点赞，那么用户B所登陆的客户端将向服务器发送一个媒体信息操作消息，该媒体信息操作消息序号为2，携带有第一用户的标识“用户B”、媒体信息的标识“新闻1”以及点赞操作所对应的标识“1”，服务器接收到该媒体信息操作消息的时刻为9:40。可见，服务器接收到的媒体信息操作消息中可以包括不同第一用户对不同媒体信息的操作。
此外，序号为3的媒体信息操作消息中，第一用户也是用户A，所操作的媒体信息为广告2，所做的操作为“取消赞”，可见，服务器接收到的媒体信息操作消息中可以包括同一第一用户对不同媒体信息的操作。另一方面，操作“取消赞”和“取消踩”作为逆操作，表征了该第一用户在之前对媒体信息已点赞和点踩，所以可知，服务器接收到的媒体信息操作消息中还可以包括同一第一用户对同一媒体信息的不同操作。
此外，用户C对广告1进行点赞操作，用户D对广告1进行了评论操作，那么用户C所登陆的客户端将向服务器发送一个媒体信息操作消息，该媒体信息操作消息序号为4，携带有第三用户的标识“用户C”、媒体信息的标识“广告1”以及点赞操作所对应的标识“1”，服务器接收到该媒体信息操作消息的时刻为13:09。又如，用户D对广告1进行了评论操作，那么用户D所登陆的客户端将向服务器发送一个媒体信息操作消息，该媒体信息操作消息序号为5，携带有第四用户的标识“用户D”、媒体信息的标识“广告1”以及评论操作所对应的标识“3”，服务器接收到该媒体信息操作消息的时刻为17:00。可见，服务器接收到的媒体信息操作消息中可以包括不同第一用户对相同媒体信息的操作。
步骤102、获取每个媒体信息操作消息对应的第一用户的社交关系链，第一用户的社交关系链包括与第一用户具有社交关系的至少一个第二用户。
本步骤中，第一用户的社交关系链为与第一用户具有社交关系的全部第二用户的集合或者部分第二用户的集合。例如，该社交关系链为好友关系链，第二用户为第一用户的好友。其中，在多个第一用户的社交关系链中可以包括同一第二用户，即多个第一用户具有同一好友。
图3为依据本申请一实例的社交关系链的列表示意图。如图3所示，对应于与图2中序号为1的媒体信息操作消息，其对应的第一用户为用户A，其社交关系链包括好友A1、好友A2，…，好友AN。又如，序号为4的媒体信息操作消息对应的第一用户为用户C，其社交关系链包括好友A1、好友C2，…，好友CN。又如，序号为5的媒体信息操作消息对应第一用户为用户D，其社交关系链包括好友A1、好友D2，…，好友DN。可见，用户A、用户C和用户D的好友关系链中包括同一个第二用户，即好友A1。
步骤103、根据所确定的各媒体信息和各项操作，统计各社交关系链中各第二用户的操作统计数据。
本步骤中，针对确定的至少一个第二用户中的每一个第二用户，可以根据日志数据统计第二用户的操作统计数据。其中，第二用户的操作统计数据包括多个媒体信息的标识以及每个媒体信息的操作权重。具体而言，在本申请的一些实例中，针对每个第二用户，可以对该第二用户的社交关系链中各第一用户所对应的各媒体信息和各项操作进行统计，以获得该第二用户的操作统计数据。即通过社交关系链，将第一用户对媒体信息的操作映射到第二用户的操作统计数据中，用于表征第二用户作为好友被辐射到的媒体信息。
例如，参见图3，第二用户为好友A1，在好友A1的社交关系链中的第一用户包括用户A、用户C、用户D。参见图2，用户A对应媒体信息“广告1”和操作“评论”以及对应媒体信息“广告2”和操作“取消赞”，用户C对应媒体信息“广告1”和操作“点赞”，用户D对应媒体信息“广告1”和操作“评论”。
本步骤中，操作统计数据是针对每个第二用户而言，给出对应的各个媒体信息及每个媒体信息的操作权重。在统计各社交关系链中各第二用户的操作统计数据时，针对每个第二用户，首先确定出由该第二用户的社交关系链中各第一用户所对应的所有媒体信息，标识为k＝1,…,K。例如，以第二用户为好友A1为例，在预定时间间隔内，在好友A1的社交关系链中各第一用户所对应的媒体信息包括：“广告1”、“广告2”，…，“广告X”。
对于该第二用户的社交关系链中各第一用户所对应的每个媒体信息，执行如下操作：
A)确定对该媒体信息进行的各项操作以及执行每项操作的至少一 个第一用户。
如上所述，以第二用户为好友A1、媒体信息为“广告1”为例，对广告1的操作包括“评论”和“点赞”，其中，执行“评论”的第一用户包括用户A和用户D，执行“点赞”的第一用户包括用户C。
B)针对每项操作，根据执行该项操作的每个第一用户在第二用户的社交关系链中的热度系数，计算针对该项操作的子权重。
若执行第j项操作的第一用户总数为Mj，第i个第一用户在第二用户的社交关系链中的热度系数表示为Hi,j，i＝1,…,Mj，那么针对第k个媒体信息、第j项操作的子权重Wk,j可以计算为：
Figure PCTCN2017085834-appb-000001
在一实例中，根据两两用户之间的特征因子和互动行为、应用场景可以对社交关系链进行多层次划分，为社交关系链中的每个用户根据其所属的热度级别确定相应的热度系数。例如，特征因子包括：在社交应用平台中两个用户联系的频次、访问好友空间的频次、根据关系对好友的分组、好友的重合度、兴趣匹配程度等。互动行为是指对好友的信息流所进行的操作，包括点赞、评论等各项操作。应用场景是指对好友的信息流进行操作时所处的场景，例如在生日页卡中进行的互动。
在一实例中，热度级别包括三级，分别为“亲密关系(直接好友)”、“强关系链(直接好友)”和“弱关系链(间接好友)”，分别对应热度系数80％、50％和30％。其中，处于亲密关系中的直接好友包括父母、恋人、特别关心的人等；处于强关系链中的直接好友包括同事、同学、普通朋友、工作合作伙伴等；处于弱关系链中的间接好友包括直接好友的好友、拥有共同好友群、但并非直接好友等。上述对热度级别的划分 和热度系数的取值仅是示例，还可以有其他的划分方式，本申请对此不做具体限定。
图4为依据本申请一实例的热度系数的列表示意图。如图4所示，第一用户中用户A在好友A1的社交关系链中的热度系数为80％，用户D在好友A1的社交关系链中的热度系数为50％。那么，针对操作“评论”，根据上述公式(1)可计算得到操作“评论”的子权重为0.65。又如，第一用户还包括用户C，用户C在好友A1的社交关系链中的热度系数为30％，那么针对操作“点赞”，根据上述公式(1)可计算得到操作“点赞”的子权重为0.3。
C)根据预先设置的各项操作的优先级和计算出的每项操作的子权重，计算得到每个媒体信息的操作权重。
若第j项操作的优先级因子为Pj，第k个媒体信息对应的各项操作的总数为Mk，那么第k个媒体信息的操作权重Wk为：
Figure PCTCN2017085834-appb-000002
例如，各项操作的优先级由高到低依次为“评论”、“点赞”、“转发”、“收藏”、“点踩”，对应的优先级因子分别为90％、80％、60％、30％、-10％。其中，对于两项逆操作，“取消赞”和“取消踩”的优先级因子取“点赞”和“点踩”的负值，即分别为-80％和10％。由此，在上述例子中，媒体信息“广告1”的操作权重为0.65*90％+0.3*80％＝0.825。
通过上述步骤可见，每个第二用户的操作统计数据包括多个媒体信息的标识以及每个媒体信息的操作权重。且每个第二用户的操作统计数据将以每个第二用户的用户标识为索引进行存储，以表明操作统计数据所对应的用户。
步骤104、接收第三用户的媒体信息获取请求，当从各第二用户的 操作统计数据中查找到第三用户的操作统计数据时，从第三用户的操作统计数据中选择出至少一个媒体信息，并返回至少一个媒体信息。
当第三用户登录第二客户端时，第二客户端向服务器发送媒体信息获取请求。服务器从各第二用户的操作统计数据中查找是否有第三用户的操作统计数据。在本申请的一些实例中，上述媒体信息获取请求中可以包含第三用户的用户标识，此时服务器可以根据第三用户的用户标识从自身存储的第二用户的操作统计数据中查找是否有上述第三用户的用户标识所对应的操作统计数据。当查找到时，从第三用户的操作统计数据中选择出至少一个媒体信息，并将至少一个媒体信息发送给第二客户端。其中，选择出的媒体信息的数量可以预先设置，例如，根据媒体信息的推广方的展示需求来确定该数值。具体而言，在本申请的一些实例中可以根据操作统计数据中包含的媒体信息的操作权重进行媒体信息的选择，例如，选择出操作权重最大的预定数量的媒体信息，并将所选择的媒体信息反馈给第二客户端。在本申请的另一些实例中，还可以或进一步根据特殊定向规则进行选择。在本申请中，上述根据媒体信息的操作权重和/或特殊定向规则选择媒体信息的方法将在后文详细描述。
在本实例中，通过从至少一个第一客户端接收至少一个媒体信息操作消息，获取每个媒体信息操作消息对应的第一用户的社交关系链，根据所确定的各媒体信息和各项操作，统计各社交关系链中各第二用户的操作统计数据，从第二客户端接收第三用户的媒体信息获取请求，当从各第二用户的操作统计数据中查找到第三用户的操作统计数据时，从第三用户的操作统计数据中选择出至少一个媒体信息，并将至少一个媒体信息发送给第二客户端，使得媒体信息的推广通过第一用户的操作以及社交关系链，辐射到了第二用户中，例如，一媒体信息的定向推广人群中并不包括第二用户，但是通过本技术方案，第二用户可以接收到该媒 体信息，可见，挖掘了媒体信息的推广渠道，扩大了媒体信息的展示面和推广深度，使得接收到媒体信息的受众面由定向人群扩展到了可变的社交人群中；此外，服务器统计好第二用户的操作统计数据，当接收到媒体信息获取请求时，可以实时推送媒体信息，减少了针对媒体信息请求的响应时延。因此，本技术方案提高了媒体信息推广的效率以及媒体信息展示设备的资源利用率。
图5为依据本申请另一实例的媒体信息的展示方法的流程示意图。如图5所示，包括如下步骤：
步骤501、从至少一个第一客户端接收至少一个媒体信息操作消息，其中，每个媒体信息操作消息用于指示一第一用户针对一媒体信息所做的操作。
本步骤中，每个第一客户端接收第一用户针对一媒体信息所做的操作，向服务器发送媒体信息操作消息。
图6为依据本申请一实例的对媒体信息的操作的界面示意图。如图6所示，在界面600中显示第一客户端接收到的信息流，其中，在方框610显示有一媒体信息：广告1，题目为“滴滴打车”，并配有相应的图文。在方框620中提供了多个用户操作选项，包括赞621、踩622、评论623、转发624和收藏625。其中，赞621、踩622和评论623都具备评论功能，赞621、踩622用于从正反两面进行操作，用户可以点赞、取消赞、点踩和取消踩；在用户点击评论623后，在方框630中输入具体的评论信息。
当第一用户登录第一客户端，并且对上述任一用户操作选项进行操作后，第一客户端向服务器发送携带有第一用户的标识、媒体信息的标识以及所做的操作的标识的媒体信息操作消息。
步骤502、对于每个媒体信息操作消息，当判断出该媒体信息操作 消息与一第二用户相关联时，向该第二用户所在的第三客户端发送媒体信息操作消息。
此处，媒体信息操作消息与一第二用户相关联是指：第一用户对媒体信息的操作指向一第二用户。例如，第一用户对媒体信息的操作是回复第二用户先前发表的评论，或者第一用户在发表一新的评论时加入了第二用户的标识，例如，使用“@第二用户”的方式。此时，媒体信息操作消息中除了携带操作的标识，还包括所指向的第二用户的标识。
或者，媒体信息操作消息与一第二用户相关联是指：第一用户在第二用户的社交关系链中具有特殊权限。例如，根据预设的社交协议，在第二用户的社交关系链中第一用户是特殊好友，那么第一用户发表评论后，服务器根据预设的社交协议能够判断出该媒体信息操作消息与一第二用户相关联。
当判断出该媒体信息操作消息与一第二用户相关联时，服务器向该第二用户所在的第三客户端发送媒体信息操作消息，以使第三客户端根据该媒体信息操作消息输出提示选项，在接收到该第二用户对提示选项的操作后，展示媒体信息操作消息。
图7a为依据本申请一实例的输出提示选项的界面示意图。如图7a所示，在第三客户端的界面710中，在方框711中显示面向第二用户的信息流，其中可以包括第二用户的好友的信息、初始定向给第二用户的媒体信息以及服务器根据操作统计数据选择出的一个或多个媒体信息。在方框712中显示提示选项，表示为7121中的文字“与我有关”以及7122中显示媒体信息操作消息信息的个数为3。
图7b为依据本申请一实例的展示媒体信息操作消息的界面示意图。当第二用户点击图7a中的7121或者7122后，第二客户端进入界面720以展示媒体信息操作消息。例如，对于一个媒体信息操作消息，显示第 一用户的信息，包括方框721中显示用户A的昵称以及方框722中显示用户A的头像；在方框723中显示第一用户所做的操作，即发表文字评论“厉害！”；在方框724中显示第一用户所操作的媒体信息，例如，形式为广告1“滴滴打车”的缩略图。
步骤503、从第三客户端接收针对提示选项的第一用户操作指示，基于在第一预定时间段内接收的第一用户操作指示，统计展示媒体信息操作消息的次数。
例如上述第三客户端从图7a的界面进入图7b的界面后，媒体信息操作消息得以展示。服务器通过接收针对提示选项的第一用户操作指示，可以统计该媒体信息操作消息在第二用户处被展示的次数。
步骤504、从第三客户端接收针对媒体信息操作消息的第二用户操作指示，基于在第二预定时间段内接收的第二用户操作指示，统计展示该媒体信息的次数。
如上所述，当第二用户点击图7b中的方框724后，第三客户端的界面将进入图6所示的第一用户对媒体信息进行操作的原始界面。这样，服务器通过接收针对该媒体信息的第二用户操作指示，统计展示该媒体信息的次数。
以上步骤502-504是对媒体信息操作消息与一第二用户相关联时所做的处理，实现了经由社交关系链对推广信息的被动信息提醒。除此之外，如图1所示的展示方法，在图5的实例中在执行完步骤501后，可以继续执行步骤505至508。
步骤505、根据至少一个媒体信息操作消息，确定各第一用户对应的各媒体信息以及各项操作。
步骤506、获取每个媒体信息操作消息对应的第一用户的社交关系链。
考虑到第一用户的社交关系链中包括大量的第二用户，此时，服务器可以从完整的社交关系链中根据好友的热度系数选择热度靠前的部分第二用户，例如选择热度排在前100名的第二用户。
根据步骤505和506，服务器可以建立如下的数据结构进行存储：{u0,sns_id,acttype,(u1,w1),(u2,w2)...(u100,w100)}，其中，u0表示对媒体信息进行操作的第一用户，sns_id表示被辐射的媒体信息的标识，acttype表示所做的操作的标识，ui(i＝1,…,100)表示u0的好友，wi表示这个好友在u0的社交关系链中的热度。
步骤507、根据所确定的各媒体信息和各项操作，统计各社交关系链中各第二用户的操作统计数据。
在一实例中，考虑到在预定时间间隔内接收到的媒体信息操作消息数量较大，可以对第二用户的社交关系链中各第一用户所对应的媒体信息进行淘汰处理。具体方法如下：
针对每个第二用户，对该第二用户的社交关系链中各第一用户对应的每个媒体信息，记录最后接收到该媒体信息所对应的一媒体信息操作消息的时刻；根据该时刻对各媒体信息进行降序排列，对按照该降序排列选出前V个时刻所对应的媒体信息进行统计，以获得该第二用户的操作统计数据，其中，V为大于等于1的正整数。
例如，在图2所示的媒体信息操作消息中，好友A1的社交关系链中第一用户有用户A、用户C和用户D，三个用户都对应了媒体信息“广告1”，在接收到“广告1”对应的媒体信息操作消息(序号分别为1、4、5)中，最后接收到的是序号为5的媒体信息操作消息，最后接收的时刻为17:00，那么将该时刻对应“广告1”记录下来。这样，每个媒体信息都记录有一个最后接收的时刻。
然后，根据该时刻对各媒体信息进行降序排列，对按照该降序排列 选出前V个时刻所对应的媒体信息用于统计该第二用户的操作统计数据。例如，V＝100。
通过该步骤，服务器可以采用键-值的方式建立操作统计数据的数据结构进行存储。例如，数据结构表示为(key,value)，以操作为点赞和评论为例，每个媒体信息的操作权重存储为每项操作的子权重。其中，key为第二用户的标识uin，value为{(sns_id0,zan_num,ping_num,zan_weight,ping_weight,timestamp)...(sns_id100,zan_num,ping_num,zan_weight,ping_weight,timestamp)}，其中sns_id表示被好友辐射到的媒体信息的标识,zan_num表示被好友点赞的次数，ping_num表示被好友评论的次数，zan_weight表示综合点赞次数和点赞好友热度得到的子权重，ping_weight表示综合评论次数和评论的好友热度得到的子权重，timestamp表示最后接收的时刻。Value中可以限制存放100个数据包，按照timestamp进行淘汰。
步骤508、从第二客户端接收第三用户的媒体信息获取请求，当从各第二用户的操作统计数据中查找到第三用户的操作统计数据时，从第三用户的操作统计数据中选择出至少一个媒体信息，并将至少一个媒体信息发送给第二客户端。
本步骤中，服务器首先从各第二用户的操作统计数据中查找是否有第三用户对应的操作统计数据，即判断第三用户是否有被其好友辐射到的媒体信息。然后，从第三用户的操作统计数据中选择出至少一个媒体信息，具体可以通过以下两种方式。
方式一，根据每个媒体信息的操作权重进行选择
具体地，根据步骤103所述，操作统计数据包括多个媒体信息的标识以及每个媒体信息的操作权重，对第三用户的操作统计数据中所有媒体信息的操作权重进行降序排列，按照该降序排列选择出前L个操作权 重所对应的媒体信息，其中，L为大于等于1的正整数。例如，L＝1，每次只推送操作统计数据中的一个媒体信息。
方式二，根据特殊定向规则进行选择
在一实例中，特殊定向规则是将媒体信息的类型和用户的属性信息关联起来。若一媒体信息属于预先设置的媒体信息的类型，并且第三用户的属性信息满足预先设置的属性类别，则选择该媒体信息。用户的属性信息包括用户的性别、年龄、婚姻状态等。
图8a为依据本申请一实例的特殊定向规则的界面示意图。如图8a所示，预先设置的媒体信息的类型包括酒水类广告、婚恋类广告、月子中心类广告，分别给出了三种类型的广告所在行业的编号。特殊定向规则是基于第三用户的属性信息，分别为强制定向到“年龄>＝18岁”、强制定向到“单身”且“年龄>＝18岁”和强制定向到“已婚男性+已婚女性”。
在另一实例中，特殊定向规则是通过操作系统的类型进行关联。若第二客户端所在操作系统的类型与一媒体信息所属操作系统的类型相同，则选择该媒体信息。
图8b为依据本申请另一实例的特殊定向规则的界面示意图。如图8b所示，例如，媒体信息是一个应用于iOS操作系统的应用程序，则将该媒体信息定向推送给应用于iOS操作系统的第二客户端，即强制定向iOS用户。又如，媒体信息是一个应用于Android操作系统的应用程序，则将该媒体信息定向推送给应用于Android操作系统的第二客户端，即强制定向Android用户。
需要说明的是，上述方式一和方式二所示的选择媒体信息的方法也可以结合使用，例如，可以先按照方式二的方式根据特殊定向规则进行选择，再从所选择的媒体信息中选择操作权重最大的L个媒体信息作为 最终的选择结果。
在本实例中，对于每个媒体信息操作消息，当判断出该媒体信息操作消息与一第二用户相关联时，向该第二用户所在的第三客户端发送媒体信息操作消息，实现了对媒体信息的被动信息提醒，触发了广告更多的互动率，提高了广告推广的覆盖面。此外，服务器基于从第三客户端接收到的第一用户操作指示和第二用户操作指示，能够统计出该媒体信息被被动辐射到第二用户的曝光量以及第二用户进入广告详情页的曝光量，有利于对被动信息的提醒进行流量统计，以及评估被动提醒的推广效果。
进一步，通过每个媒体信息的操作权重对展示给好友的媒体信息进行选择，使得原本没有定向给好友的媒体信息得以展示，或者不会优先展示给好友的媒体信息由于权重的增加而优先推送给该好友进行展示，从而使得媒体信息的推广不再受到原始定向的局限，通过社交关系链实现了由点及面的高效传播，增加了更多社交性质的可拓展空间。此外，选择特殊定向规则对展示的媒体信息进行筛选，可以在社交关系链的基础之上，对好友推送媒体信息的定向规则进行进一步限定，提供了可组合的定向策略，满足媒体信息推广方的各类推广需求。
图9为依据本申请一实例的媒体信息的展示方法的交互示意图，包括服务器、至少一个第一客户端、第二客户端和第三客户端。其中，第一客户端对应的第一用户对一媒体信息发起操作，第二客户端对应的第二用户和第三客户端对应的第三用户分别和第一用户处于一社交关系链中，其中第二用户接收到被动信息提醒，第三用户接收到被第一用户操作过的媒体信息。如图9所示，该方法包括如下步骤：
步骤901、每个第一客户端接收一第一用户针对一媒体信息所做的操作。
步骤902、每个第一客户端向服务器发送媒体信息操作消息。
步骤903、对于每个媒体信息操作消息，服务器判断该媒体信息操作消息是否与一第二用户相关联。其中，第二用户在第一用户的社交关系链中。
步骤904、当判断出该媒体信息操作消息与一第二用户相关联时，服务器向该第二用户所在的第二客户端发送媒体信息操作消息。
步骤905、第二客户端根据该媒体信息操作消息输出提示选项。
步骤906、第二客户端在接收到该第二用户对提示选项的操作后，展示媒体信息操作消息，并向服务器发送针对提示选项的第一用户操作指示。
步骤907、服务器基于在第一预定时间段内接收的第一用户操作指示，统计展示媒体信息操作消息的次数。
步骤908、第二客户端在接收到第二用户对媒体信息操作消息的操作后，向服务器发送第二用户操作指示。
步骤909、服务器基于在第二预定时间段内接收的第二用户操作指示，统计展示该媒体信息的次数。
通过以上步骤903-909，实现了社交关系链中好友的被动信息提醒。
步骤910、服务器根据至少一个媒体信息操作消息确定各第一用户对应的各媒体信息以及各项操作，并生成日志数据。
步骤911、服务器获取每个媒体信息操作消息对应的第一用户的社交关系链，根据所确定的各媒体信息和各项操作，生成各社交关系链中各第二用户的操作统计数据。
步骤912、第三客户端接收第三用户的登录操作，向服务器发送媒体信息获取请求。
步骤913、服务器从各第二用户的操作统计数据中查找是否存在第 三用户的操作统计数据。若是(可以是所述第三用户属于第二用户的集合，此时，服务器能够从各第二用户的操作统计数据中查找到第三用户的操作统计数据)，执行步骤915；否则(即所述第三用户不属于第二用户的集合，此时，服务器不能够从各第二用户的操作统计数据中查找到第三用户的操作统计数据)，执行步骤914。
步骤914、服务器向第三客户端返回第三用户的普通信息流，包括第三用户的好友的信息以及事先定向给第三用户的一个或多个媒体信息。
步骤915、服务器从第三用户的操作统计数据中选择出至少一个媒体信息，并向第三客户端返回第三用户的普通信息流以及选择出的至少一个媒体信息。
步骤916、第三客户端展示从步骤914或者步骤915接收到的信息流。
图10为依据本申请一实例的服务器1000的结构示意图。如图10所示，服务器1000包括：
接收模块1010，用于接收至少一个媒体信息操作消息，其中，每个媒体信息操作消息用于指示一第一用户针对一媒体信息所做的操作；接收第三用户的媒体信息获取请求；
确定模块1020，用于根据接收模块1010接收的至少一个媒体信息操作消息，确定各第一用户对应的各媒体信息以及各项操作；
获取模块1030，用于获取每个媒体信息操作消息对应的第一用户的社交关系链，第一用户的社交关系链包括与第一用户具有社交关系的至少一个第二用户；
统计模块1040，用于根据确定模块1020确定的各媒体信息和各项操作和获取模块1030获取的社交关系链，统计各社交关系链中各第二 用户的操作统计数据；其中，针对每个第二用户，对该第二用户的社交关系链中各第一用户所对应的各媒体信息和各项操作进行统计，以获得该第二用户的操作统计数据；及，
选择模块1050，用于基于接收模块1010接收的媒体信息获取请求，当从统计模块1040得到的各第二用户的操作统计数据中查找到第三用户的操作统计数据时，从第三用户的操作统计数据中选择出至少一个媒体信息；
发送模块1060，用于返回选择模块1050选择出的至少一个媒体信息。
在一实例中，第一用户针对一媒体信息所做的操作包括点赞、取消赞、点踩、取消踩、评论、转发、收藏中的任一项和任意几项；
统计模块1040用于，针对每个第二用户，对于该第二用户的社交关系链中各第一用户所对应的每个媒体信息，执行如下操作：确定对该媒体信息进行的各项操作以及执行每项操作的至少一个第一用户；针对每项操作，根据执行该项操作的每个第一用户在第二用户的社交关系链中的热度系数，计算针对该项操作的子权重；根据预先设置的各项操作的优先级和计算出的每项操作的子权重，计算得到每个媒体信息的操作权重。
在一实例中，操作统计数据包括多个媒体信息的标识以及每个媒体信息的操作权重；
选择模块1050用于，对第三用户的操作统计数据中所有媒体信息的操作权重进行降序排列，按照该降序排列选择出前L个操作权重所对应的媒体信息，其中，L为大于等于1的正整数。
在一实例中，选择模块1050用于，若一媒体信息属于预先设置的媒体信息的类型，并且第三用户的属性信息满足预先设置的属性类别， 则选择该媒体信息；和/或，
若发送媒体信息获取请求的客户端所在操作系统的类型与一媒体信息所属操作系统的类型相同，则选择该媒体信息。
在一实例中，发送1060模块进一步用于，对于每个媒体信息操作消息，当判断出该媒体信息操作消息与一第二用户相关联时，向该第二用户所在的客户端发送该媒体信息操作消息，以使客户端根据该媒体信息操作消息输出提示选项，在接收到该第二用户对提示选项的操作后，展示该媒体信息操作消息。
在一实例中，接收模块1010进一步用于，接收针对提示选项的第一用户操作指示；
统计模块1040进一步用于，基于在第一预定时间段内接收模块1010接收的第一用户操作指示，统计展示该媒体信息操作消息的次数；和/或，
接收模块1010进一步用于，接收针对媒体信息操作消息的第二用户操作指示；
统计模块1040进一步用于，基于在第二预定时间段内接收模块1010接收的第二用户操作指示，统计展示该媒体信息的次数。
在一实例中，统计模块1040用于，针对每个第二用户，对该第二用户的社交关系链中各第一用户对应的每个媒体信息，记录最后接收到该媒体信息所对应的一媒体信息操作消息的时刻；根据时刻对各媒体信息进行降序排列，对按照该降序排列选出前V个时刻所对应的媒体信息进行统计，以获得该第二用户的操作统计数据，其中，V为大于等于1的正整数。
图11为依据本申请另一实例的服务器1100的结构示意图。该服务器1100包括：处理器1110、存储器1120、端口1130以及总线1140。 处理器1110和存储器1120通过总线1140互联。处理器1110可通过端口1130接收和发送数据。其中，
处理器1110用于执行存储器1120存储的机器可读指令模块。
存储器1120存储有处理器1110可执行的机器可读指令模块。处理器1110可执行的指令模块包括：接收模块1121、确定模块1122、获取模块1123、统计模块1124、选择模块1125和发送模块1126。其中，
接收模块1121被处理器1110执行时可以为：接收至少一个媒体信息操作消息，其中，每个媒体信息操作消息用于指示一第一用户针对一媒体信息所做的操作；接收第三用户的媒体信息获取请求；
确定模块1122被处理器1110执行时可以为：根据接收模块1121接收的至少一个媒体信息操作消息，确定各第一用户对应的各媒体信息以及各项操作；
获取模块1123被处理器1110执行时可以为：获取每个媒体信息操作消息对应的第一用户的社交关系链，第一用户的社交关系链包括与第一用户具有社交关系的至少一个第二用户；
统计模块1124被处理器1110执行时可以为：根据确定模块1122确定的各媒体信息和各项操作和获取模块1123获取的社交关系链，统计各社交关系链中各第二用户的操作统计数据；其中，针对每个第二用户，对该第二用户的社交关系链中各第一用户所对应的各媒体信息和各项操作进行统计，以获得该第二用户的操作统计数据；
选择模块1125被处理器1110执行时可以为：基于接收模块1121接收的媒体信息获取请求，当从统计模块1124得到的各第二用户的操作统计数据中查找到第三用户的操作统计数据时，从第三用户的操作统计数据中选择出至少一个媒体信息；
发送模块1126被处理器1110执行时可以为：返回选择模块1125 选择出的至少一个媒体信息。
由此可以看出，当存储在存储器1120中的指令模块被处理器1110执行时，可实现前述各个实例中接收模块、确定模块、获取模块、统计模块、选择模块和发送模块的各种功能。
上述装置实例中，各个模块及单元实现自身功能的具体方法在方法实例中均有描述，这里不再赘述。
另外，在本申请各个实例中的各功能模块可以集成在一个处理单元中，也可以是各个模块单独物理存在，也可以两个或两个以上模块集成在一个单元中。上述集成的单元既可以采用硬件的形式实现，也可以采用软件功能单元的形式实现。
另外，本申请的每一个实例可以通过由数据处理设备如计算机执行的数据处理程序来实现。显然，数据处理程序构成了本申请。此外，通常存储在一个存储介质中的数据处理程序通过直接将程序读取出存储介质或者通过将程序安装或复制到数据处理设备的存储设备(如硬盘和或内存)中执行。因此，这样的存储介质也构成了本申请。存储介质可以使用任何类别的记录方式，例如纸张存储介质(如纸带等)、磁存储介质(如软盘、硬盘、闪存等)、光存储介质(如CD-ROM等)、磁光存储介质(如MO等)等。
因此，本申请还公开了一种存储介质，其中存储有数据处理程序，该数据处理程序用于执行本申请上述方法的任何一种实例。
以上仅为本申请的较佳实例而已，并不用以限制本申请，凡在本申请的精神和原则之内，所做的任何修改、等同替换、改进等，均应包含在本申请保护的范围之内。

Claims (18)

  1. 一种媒体信息的展示方法，其中，所述方法包括：
    接收至少一个媒体信息操作消息，其中，每个媒体信息操作消息用于指示一第一用户针对一媒体信息所做的操作；
    确定每一个媒体信息操作消息对应的第一用户、媒体信息以及所述第一用户对所述媒体信息的操作，生成日志数据；其中，所述日志数据包括：每个媒体信息操作消息的序号、所对应第一用户的标识、所对应媒体信息的标识以及所对应操作的标识；
    获取所述日志数据中所包含每一个第一用户的社交关系链；其中，所述第一用户的社交关系链包括与所述第一用户具有社交关系的至少一个第二用户；
    针对所述至少一个第二用户中的每一个第二用户，根据所述日志数据统计所述第二用户的操作统计数据；其中，所述第二用户的操作统计数据包括多个媒体信息的标识以及每个媒体信息的操作权重；及，
    接收第三用户的媒体信息获取请求，当从所述第二用户的操作统计数据中查找到所述第三用户的操作统计数据时，从所述第三用户的操作统计数据中选择出至少一个媒体信息，并返回所述至少一个媒体信息。
  2. 根据权利要求1所述的方法，其中，所述第一用户针对一媒体信息所做的操作为所述第一用户基于应用客户端提供互动控件所做的操作。
  3. 根据权利要求1所述的方法，其中，所述统计所述第二用户的操作统计数据包括：
    针对每个第二用户，根据所述日志数据对所述第二用户的社交关系链中所包含至少一个第一用户所对应的至少一个媒体信息和对应的操 作进行统计，获得所述第二用户的操作统计数据。
  4. 根据权利要求3所述的方法，其中，所述对所述第二用户的社交关系链中所包含至少一个第一用户所对应的至少一个媒体信息和对应的操作进行统计包括：
    针对每个第二用户，根据所述日志数据确定所述第二用户的社交关系链中所包含的至少一个第一用户、其对应的媒体信息以及其对应的操作；
    针对确定的每个媒体信息，执行如下操作：
    确定对所述媒体信息进行的各项操作以及执行每项操作的至少一个第一用户；
    针对每项操作，根据执行该项操作的每个第一用户在第二用户的社交关系链中的热度系数，计算针对该项操作的子权重；
    根据预先设置的各项操作的优先级和计算出的每项操作的子权重，计算得到每个媒体信息的操作权重。
  5. 根据权利要求1所述的方法，其中，所述从所述第三用户的操作统计数据中选择出至少一个媒体信息包括：
    对所述第三用户的操作统计数据中所有媒体信息的操作权重进行降序排列，按照该降序排列选择出前L个操作权重所对应的媒体信息，其中，L为大于等于1的正整数。
  6. 根据权利要求1所述的方法，其中，所述从所述第三用户的操作统计数据中选择至少一个媒体信息包括：
    若一媒体信息属于预先设置的媒体信息的类型，并且所述第三用户的属性信息满足预先设置的属性类别，则选择该媒体信息。
  7. 根据权利要求1所述的方法，其中，所述从所述第三用户的操作统计数据中选择至少一个媒体信息包括：
    若发送所述媒体信息获取请求的客户端所在操作系统的类型与一媒体信息所属操作系统的类型相同，则选择该媒体信息。
  8. 根据权利要求1所述的方法，进一步包括：
    对于每个媒体信息操作消息，当判断出该媒体信息操作消息与一第二用户相关联时，向该第二用户所在的客户端发送该媒体信息操作消息，以使所述客户端根据该媒体信息操作消息输出提示选项，在接收到该第二用户对所述提示选项的操作后，展示该媒体信息操作消息。
  9. 根据权利要求8所述的方法，进一步包括：
    接收针对所述提示选项的第一用户操作指示，基于在第一预定时间段内接收的所述第一用户操作指示，统计展示该媒体信息操作消息的次数；和/或，
    接收针对所述媒体信息操作消息的第二用户操作指示，基于在第二预定时间段内接收的所述第二用户操作指示，统计展示该媒体信息的次数。
  10. 根据权利要求1至9中任一项所述的方法，其中，所述统计各社交关系链中各第二用户的操作统计数据包括：
    针对每个第二用户，对该第二用户的社交关系链中各第一用户对应的每个媒体信息，记录最后接收到该媒体信息所对应的一媒体信息操作消息的时刻；
    根据所述时刻对各媒体信息进行降序排列，对按照该降序排列选出前V个时刻所对应的媒体信息进行统计，以获得该第二用户的所述操作统计数据，其中，V为大于等于1的正整数。
  11. 一种服务器，其中，所述服务器包括：
    接收模块，用于接收至少一个媒体信息操作消息，其中，每个媒体信息操作消息用于指示一第一用户针对一媒体信息所做的操作；接收第 三用户的媒体信息获取请求；
    确定模块，用于根据所述接收模块接收的至少一个媒体信息操作消息，确定每一个媒体信息操作消息对应的第一用户、媒体信息以及所述第一用户对所述媒体信息的操作，生成日志数据；其中，所述日志数据包括：每个媒体信息操作消息的序号、所对应第一用户的标识、所对应媒体信息的标识以及所对应操作的标识；
    获取模块，用于获取日志数据中所包含每一个第一用户的社交关系链，所述第一用户的社交关系链包括与所述第一用户具有社交关系的至少一个第二用户；
    统计模块，用于针对所述至少一个第二用户中的每一个第二用户，根据所述日志数据统计所述第二用户的操作统计数据；其中，所述第二用户的操作统计数据包括多个媒体信息的标识以及每个媒体信息的操作权重；及，
    选择模块，用于基于所述接收模块接收的媒体信息获取请求，当从上述统计模块得到的各第二用户的操作统计数据中查找到所述第三用户的操作统计数据时，从所述第三用户的操作统计数据中选择出至少一个媒体信息；
    发送模块，用于返回所述选择模块选择出的至少一个媒体信息。
  12. 根据权利要求11所述的服务器，其中，所述统计模块用于针对每个第二用户，根据所述日志数据确定所述第二用户的社交关系链中所包含的至少一个第一用户、其对应的媒体信息以及其对应的操作，并对于每个媒体信息执行如下操作：
    确定对所述媒体信息进行的各项操作以及执行每项操作的至少一个第一用户；
    针对每项操作，根据执行该项操作的每个第一用户在第二用户的社 交关系链中的热度系数，计算针对该项操作的子权重；
    根据预先设置的各项操作的优先级和计算出的每项操作的子权重，计算得到每个媒体信息的操作权重。
  13. 根据权利要求11所述的服务器，其中，所述选择模块用于对所述第三用户的操作统计数据中所有媒体信息的操作权重进行降序排列，按照该降序排列选择出前L个操作权重所对应的媒体信息，其中，L为大于等于1的正整数。
  14. 根据权利要求11所述的服务器，其中，所述选择模块用于，若一媒体信息属于预先设置的媒体信息的类型，并且所述第三用户的属性信息满足预先设置的属性类别，则选择该媒体信息；和/或，
    若发送所述媒体信息获取请求的客户端所在操作系统的类型与一媒体信息所属操作系统的类型相同，则选择该媒体信息。
  15. 根据权利要求11所述的服务器，其中，所述发送模块进一步用于，对于每个媒体信息操作消息，当判断出该媒体信息操作消息与一第二用户相关联时，向该第二用户所在的客户端发送该媒体信息操作消息，以使所述客户端根据该媒体信息操作消息输出提示选项，在接收到该第二用户对所述提示选项的操作后，展示该媒体信息操作消息。
  16. 根据权利要求15所述的服务器，其中，所述接收模块进一步用于，接收针对所述提示选项的第一用户操作指示；
    所述统计模块进一步用于，基于在第一预定时间段内所述接收模块接收的第一用户操作指示，统计展示该媒体信息操作消息的次数；和/或，
    所述接收模块进一步用于，接收针对所述媒体信息操作消息的第二用户操作指示；
    所述统计模块进一步用于，基于在第二预定时间段内所述接收模块 接收的第二用户操作指示，统计展示该媒体信息的次数。
  17. 根据权利要求11至16中任一项所述的服务器，其中，所述统计模块用于，针对每个第二用户，对该第二用户的社交关系链中各第一用户对应的每个媒体信息，记录最后接收到该媒体信息所对应的一媒体信息操作消息的时刻；根据所述时刻对各媒体信息进行降序排列，对按照该降序排列选出前V个时刻所对应的媒体信息进行统计，以获得该第二用户的所述操作统计数据，其中，V为大于等于1的正整数。
  18. 一种非易失性计算机可读存储介质，存储有计算机可读指令，可以使至少一个处理器执行如权利要求1至10任一项所述的方法。
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