WO2018188459A1 - 确定推荐信息的方法及装置、信息推荐方法及装置 - Google Patents

确定推荐信息的方法及装置、信息推荐方法及装置 Download PDF

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Publication number
WO2018188459A1
WO2018188459A1 PCT/CN2018/079747 CN2018079747W WO2018188459A1 WO 2018188459 A1 WO2018188459 A1 WO 2018188459A1 CN 2018079747 W CN2018079747 W CN 2018079747W WO 2018188459 A1 WO2018188459 A1 WO 2018188459A1
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Prior art keywords
information
user identifier
recommended
predetermined
recommendation
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PCT/CN2018/079747
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English (en)
French (fr)
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WO2018188459A9 (zh
Inventor
何锐明
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腾讯科技（深圳）有限公司
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Publication of WO2018188459A1 publication Critical patent/WO2018188459A1/zh
Publication of WO2018188459A9 publication Critical patent/WO2018188459A9/zh

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    • 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
    • H04L67/50—Network services
    • H04L67/60—Scheduling or organising the servicing of application requests, e.g. requests for application data transmissions using the analysis and optimisation of the required network resources
    • 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
    • H04L67/50—Network services
    • H04L67/55—Push-based network services

Definitions

  • the present application relates to the field of Internet technologies, and in particular, to a method and device for determining recommendation information, a method and device for recommending information, a computer device, and a storage medium.
  • the number of information contained in a given page is usually very large. For many ordinary users, it is difficult for them to find the information they like or need in the massive information of the specified page. It may happen that the user spends a lot of time viewing. After a lot of expressions, I found that I didn't find what I wanted and then gave up. That is, the amount of information that was downloaded in the specified page was too large to accurately reflect the information that the user wanted, which caused the user to choose to add later. When it comes to information, it takes more time to find the information you need and you may not be able to find the information you want.
  • a method and apparatus for determining recommendation information a method and apparatus for determining recommendation information, an information recommendation method and apparatus, a computer device, and a storage medium are provided.
  • a method of determining recommendation information including the following steps:
  • the first sending times of each type of information of the predetermined type sent by the sending party for each second user identifier except the first user identifier, and determining the determined types of the predetermined types The second number of transmissions corresponding to the information; the second number of transmissions is the total number of transmissions;
  • the predetermined number of the pieces of information having the second number of transmissions being the largest is the information to be recommended associated with the first user identifier.
  • An information recommendation method includes the following steps:
  • the to-be-recommended information is obtained by acquiring the first user identifier and a message record associated with the first user identifier; a first number of transmissions of each type of information of a predetermined type sent by each of the second user identifiers other than the first user identifier, and a second number of transmissions corresponding to each of the predetermined types of information of the predetermined type; The predetermined number of the pieces of information that are transmitted the most is determined as a process of the information to be recommended associated with the first user identifier;
  • the recommendation request for carrying the first user identifier sent by the terminal is received, the information to be recommended is pushed to the terminal corresponding to the first user identifier.
  • An information recommendation method includes the following steps:
  • the recommendation response includes to-be-recommended information associated with the first user identifier, where the to-be-recommended information includes: a message record associated with the first user identifier, and a statistical transmission a predetermined number of predetermined types of information that are sent by the second user identifier other than the first user identifier and whose second number of times of information is the largest;
  • the second number of transmissions is a total number of transmissions corresponding to each piece of information of the predetermined type.
  • a computer device comprising a memory and a processor, wherein the memory stores a computer program, the computer program being executed by the processor, causing the processor to perform the following steps:
  • the first sending times of each type of information of the predetermined type sent by the sending party for each second user identifier except the first user identifier, and determining the determined types of the predetermined types The second number of transmissions corresponding to the information; the second number of transmissions is the total number of transmissions;
  • the predetermined number of the pieces of information having the second number of transmissions being the largest is the information to be recommended associated with the first user identifier.
  • a computer device comprising a memory and a processor, wherein the memory stores a computer program, the computer program being executed by the processor, causing the processor to perform the following steps:
  • the to-be-recommended information is obtained by acquiring the first user identifier and a message record associated with the first user identifier; a first number of transmissions of each type of information of a predetermined type sent by each of the second user identifiers other than the first user identifier, and a second number of transmissions corresponding to each of the predetermined types of information of the predetermined type; The predetermined number of the pieces of information that are transmitted the most is determined as a process of the information to be recommended associated with the first user identifier;
  • the recommendation request for carrying the first user identifier sent by the terminal is received, the information to be recommended is pushed to the terminal corresponding to the first user identifier.
  • a computer device comprising a memory and a processor, wherein the memory stores a computer program, the computer program being executed by the processor, causing the processor to perform the following steps:
  • the recommendation response includes to-be-recommended information associated with the first user identifier, where the to-be-recommended information includes: a message record associated with the first user identifier, and a statistical transmission a predetermined number of predetermined types of information that are sent by the second user identifier other than the first user identifier and whose second number of times of information is the largest;
  • the second number of transmissions is a total number of transmissions corresponding to each piece of information of the predetermined type.
  • One or more non-volatile storage media storing a computer program, when executed by one or more processors, cause one or more processors to perform the following steps:
  • the first sending times of each type of information of the predetermined type sent by the sending party for each second user identifier except the first user identifier, and determining the determined types of the predetermined types The second number of transmissions corresponding to the information; the second number of transmissions is the total number of transmissions;
  • the predetermined number of the pieces of information having the second number of transmissions being the largest is the information to be recommended associated with the first user identifier.
  • One or more non-volatile storage media storing a computer program, when executed by one or more processors, cause one or more processors to perform the following steps:
  • the to-be-recommended information is obtained by acquiring the first user identifier and a message record associated with the first user identifier; a first number of transmissions of each type of information of a predetermined type sent by each of the second user identifiers other than the first user identifier, and a second number of transmissions corresponding to each of the predetermined types of information of the predetermined type; The predetermined number of the pieces of information that are transmitted the most is determined as a process of the information to be recommended associated with the first user identifier;
  • the recommendation request for carrying the first user identifier sent by the terminal is received, the information to be recommended is pushed to the terminal corresponding to the first user identifier.
  • One or more non-volatile storage media storing a computer program, when executed by one or more processors, cause one or more processors to perform the following steps:
  • the recommendation response includes to-be-recommended information associated with the first user identifier, where the to-be-recommended information includes: a message record associated with the first user identifier, and a statistical transmission a predetermined number of predetermined types of information that are sent by the second user identifier other than the first user identifier and whose second number of times of information is the largest;
  • the second number of transmissions is a total number of transmissions corresponding to each piece of information of the predetermined type.
  • FIG. 1 is a schematic diagram of an application environment of an embodiment of the present application.
  • FIG. 2 is a schematic diagram showing the internal structure of a computer device in an embodiment
  • FIG. 3 is a schematic flow chart of a method for determining recommended information in an embodiment
  • FIG. 5 is a schematic flowchart diagram of an information recommendation method according to another embodiment
  • FIG. 6 is a block diagram showing an apparatus for determining recommended information in an embodiment
  • FIG. 7 is a block diagram of an information recommendation apparatus of an embodiment
  • FIG. 8 is a block diagram of an information recommendation apparatus of another embodiment.
  • FIG. 1 is a schematic diagram of an application environment in an embodiment of the present application.
  • an application environment involves a terminal 110 and a server 120.
  • the terminal 110 and the server 120 can communicate through the network 130.
  • the server 120 may collect the to-be-recommended information associated with the first user identifier, and when receiving the recommendation request that is sent by the terminal 110 to carry the first user identifier, push the to-be-recommended information to the terminal 110 corresponding to the first user identifier.
  • the terminal 110 can receive the information to be recommended that is pushed by the server 120.
  • the terminal 110 needs to send a recommendation request to the server 120, and the server 120 only performs information on the terminal 110 corresponding to the first user identifier carried in the received recommendation request. recommend.
  • the terminal 110 receives the to-be-recommended information pushed by the server in response to the recommendation request.
  • the terminal 110 may be any device capable of implementing intelligent input and output, receiving information to be recommended, and adding information and transmitting the added information to other terminals, for example, a desktop computer or a mobile terminal, and the mobile terminal may be a smart phone or a tablet. Computers, car computers, wearable smart devices, etc.
  • the server 120 may be a server in which the recommendation information and the platform for recommending information push are located; the server 120 may be one or more.
  • the embodiment is related to the solution that the server 120 determines the recommendation information and the information recommendation, and the terminal 110 receives the recommendation information.
  • the terminal 110 can add information to the recommendation information pushed by the server 120 to send the added information to other terminals to implement the information intelligence. operating.
  • the computer device can be terminal 110 or server 120.
  • the computer device includes a processor, memory, and network interface connected by a system bus.
  • the memory includes a non-volatile storage medium and a memory, wherein the non-volatile storage medium of the computer device can store an operating system and a computer program.
  • the processor may be caused to perform a method for determining recommendation information and a method for recommending information.
  • the processor may be caused to execute another A method of information recommendation.
  • the processor of the computer device is used to provide computing and control capabilities to support the operation of the entire computer device.
  • a computer program can be stored in the memory of the computer device.
  • the processor can be caused to perform a method for determining recommendation information and a method for recommending information, or to perform another method for recommending information.
  • a network interface is used to connect and communicate with the network 130.
  • FIG. 2 is only a block diagram of a part of the structure related to the solution of the present application, and does not constitute a limitation of a terminal or a server to which the solution of the present application is applied, or a specific terminal or
  • the server may include more or fewer components than shown in the figures, or some components may be combined, or have different component arrangements.
  • a method for determining recommendation information is provided.
  • the method can be run in a server as shown in FIG. 1, and includes steps S310 to S330:
  • S310 Acquire a first user identifier and a message record associated with the first user identifier.
  • the user identifier is an identifier that can uniquely specify the identity of the user, and may include a character string of at least one of a number, a letter, and a punctuation symbol.
  • the first user identifier is a user identifier corresponding to the user who can receive the information to be recommended, and different user identifiers. Message communication can occur through associations with each other, resulting in a message record associated with the first user identification.
  • the user identifier that can receive the information to be recommended is also known, so that the message record associated with the first user identifier can be obtained, and the application scenario of the instant chat is taken as an example. Records can include conversation records as well as group chat records.
  • the association between the user A and the user B may include a friend association and a group association.
  • the friend association refers to the user A and the user B being friends
  • the group association refers to the user A and the user B being affiliated. In the same group.
  • user A and user B can exchange messages with each other. If they are associated with a friend, user A and user B can perform one-to-one message communication, and the user can send the message through the dialogue record between the users. information.
  • the group is associated, the user can send a message to the group, and other users in the group can obtain the group chat record to obtain the information sent by the user, and implement message communication between different users.
  • S320 Acquire a first sending number of each type of information that is sent by each of the second user identifiers other than the first user identifier by the sender in the statistical message record, and the determined information of the predetermined type is respectively corresponding to the second The number of transmissions.
  • the second number of transmissions is the total number of transmissions corresponding to each piece of information of a predetermined type.
  • the message record associated with the first user identifier includes a conversation record between the second user identifier associated with the first user identifier and the first user identifier, and the first association with the first user identifier.
  • the number of the second user identifier associated with the first user identifier may be multiple, and the sender may be the second user identifier in the message record.
  • the number of times the information is transmitted (referred to as the first number of transmissions in this embodiment) is counted.
  • the second user identifier associated with the first user identifier A has B and C
  • the message record associated with the first user identifier A records that the information sent by the second user identifier B to the first user identifier A has information X ( 2 times) and information Y (3 times), that is, the number of transmissions of the information X transmitted by the second user identification B is 2 (the first transmission number of the expression X is 2), and the number of transmissions of the transmitted information Y is 3 (expression Y The first number of transmissions is 2).
  • the message record associated with the first user identifier A also records the information X (3 times), the information Y (2 times), and the information Z (2 times) sent by the second user identifier C to the first user identifier A, that is, the first
  • the number of transmissions of the information X transmitted by the two user identifiers C is three
  • the number of transmissions of the transmitted information Y is two
  • the number of transmissions of the transmitted information Z is two.
  • the total number of transmissions corresponding to each information that is, the second number of transmissions, that is, the second number of transmissions corresponding to the information X is 5
  • the second number of transmissions corresponding to the information Y is 5
  • the second number of transmissions corresponding to the expression Z is Is 2.
  • it may be real-time statistics, or may be performed every time there is a message record update.
  • the predetermined type may include a text type, a voice type, a video type, and an expression type.
  • the communication of the expression type information is taken as an example, and thus the determination of the expression type recommendation information is performed, and the predetermined type is an expression type, and each piece of information of the predetermined type is expression information. That is, according to the foregoing message record, the first transmission times of the expression information respectively sent by the sender in the message record for each second user identifier except the first user identifier may be counted, and the first number of times of sending is the second user identifier respectively.
  • each of the emoticons has its own first number of transmissions, and then the first sending of each emoticon sent separately according to the second user identifiers other than the first user identifier.
  • the number of times of the second transmission of each expression information may be determined, and the second number of transmissions is the total number of transmissions corresponding to each expression information.
  • the first transmission times of the expression information sent by other user identifiers (second user identifiers) associated with the first user identifier A in an example are as shown in Table 1, wherein the user identifier C, the user identifier D, the user identifier E, The user identifier F and the user identifier G are associated with the first user identifier A, and the user identifier AA, the user identifier AB, the user identifier AC, the user identifier AD, and the first user identifier A are groups, as shown in Table 1, the user identifier C sends the expression information 1 4 times (that is, for the user identification C, the first transmission number corresponding to the expression information 1 is 4), the user identification D sends the expression information 2 twice, and the user identification E sends the expression 3 twice.
  • Table 1 wherein the user identifier C, the user identifier D, the user identifier E, The user identifier F and the user identifier G are associated with the first user identifier A, and the user identifie
  • the user ID F sent the expression 4 and sent it once.
  • the user ID G sent the expression 3 and sent it once.
  • the user ID A sent the expression 1 and sent it twice.
  • the user ID AB sent the expression 1 and sent it once.
  • the user ID sent the expression 2 Sent 2 times and the user ID AD sent the expression 4 and sent it once.
  • the second number of transmissions is: the second transmission number of the expression information 1 is 7 times, the second transmission number of the expression information 2 is 4 times, and the second transmission of the expression information 3 is performed.
  • the number of times is 2, and the second number of times of expression information 4 is 2 times.
  • S330 The predetermined number of pieces of information whose maximum number of second transmissions is the largest is used as the information to be recommended associated with the first user identifier.
  • the predetermined type of information used by the user is similar to other users in the friend or group, so the predetermined type of information used by the user is similar to other users in the friend or group, so For each first user identifier, it is necessary to acquire the first transmission number of the conversation record in the message record associated with the message record and the predetermined type of information sent by the group chat record, and determine the second transmission times of each type of information of the predetermined type, The greater the number of second transmissions, the more frequently the information of the predetermined type is transmitted. The more frequently the information of the predetermined type is used, the more accurately the information desired by the user corresponding to the first user identifier is reflected, thereby maximizing the number of second transmissions.
  • the predetermined number of pieces of information is used as the to-be-recommended information associated with the first user identifier, so that the determined information to be recommended can accurately and accurately reflect the information desired by the user corresponding to the first user identifier, and the user performs the predetermined type in the subsequent manner.
  • selecting information there is no need to choose among a large amount of information, saving selection time and improving Select efficiency.
  • the information about the to-be-recommended information is different, for example, the information to be recommended by the server for the first user identifier A1 may include the expression information 1, the expression information 2, and the expression.
  • the information 3 and the expression information 4, and the information to be recommended determined for the first user identification A2 may include the expression information 4, the expression information 5, the expression information 6, and the expression information 7.
  • the method for determining the recommended information, the first user identifier and the message record associated with the first user identifier are obtained; and the predetermined type of the second user identifier sent by the sender in the message record according to the statistics is obtained.
  • the method for determining the recommendation information may obtain the first transmission number of each type of information of the predetermined type sent by the sender according to the statistics of the second user identifiers other than the first user identifier, and the determined predetermined type.
  • the second number of times of sending the information, and the predetermined number of times of the second number of times of the information can accurately reflect the information that the user sends a higher frequency corresponding to the second user identifier, and the second user identifier corresponds to the information that is frequently sent.
  • the predetermined number of pieces of information having the second highest number of transmissions is used as the information to be recommended, that is, the information to be recommended is determined based on the information transmission situation in which the sender is the second user identifier in the message record associated with the first user identifier.
  • the determined information to be recommended is more matched with the first user identifier, and the accuracy of the information to be recommended is improved, so that the information to be recommended can accurately reflect the information desired by the user corresponding to the first user identifier, thereby enabling the user to Improve user selection information efficiency in subsequent information selection.
  • a predetermined number of pieces of information that maximizes the second number of times of transmission are entered as the information to be recommended associated with the first user identifier. Step; otherwise, each piece of information of a predetermined type is determined as information to be recommended.
  • the number of pieces of information of a predetermined type may be less than or equal to a predetermined number in the message record, it is also necessary to analyze whether the number of pieces of information of the predetermined type is greater than a predetermined number, if the number of pieces of information of the predetermined type is greater than a predetermined number.
  • the number indicates that the number of pieces of information to be recommended is sufficient as the number of pieces of information to be recommended, and the predetermined number of pieces of information having the largest number of times of transmission is directly used as the information to be recommended associated with the first user identifier. Otherwise, the predetermined data is The information is not enough as the number of information to be recommended. At this time, all the information of the predetermined type in the message record is directly used as the information to be recommended.
  • the predetermined number is 10, and the predetermined type of information is the expression information. If the number of the expression information sent by the sender for the second user identifier is 11 in the message record, that is, the first user identifier is associated with the first user identifier. The number of the expression information in the message record is greater than the predetermined number of 10, and the expression information of the top 10 of the number of transmissions is selected as the information to be recommended, and the number of the expression information sent by the sender for the second user identifier is 6 in the message record. That is, the number of the expression information in the message record associated with the first user identifier is less than the predetermined number of 10, and the expression information of the top 10 of the number of transmissions is not selected as the information to be recommended. At this time, all the expression information (6) Emotional information) as information to be recommended.
  • the foregoing method for determining recommendation information may further include the steps of:
  • the step of obtaining the first user identifier and the message record associated with the first user identifier is returned, and the information to be recommended associated with the first user identifier is re-determined.
  • the acquisition time of the message record associated with the first user identifier may be recorded, and the message record associated with the first user identifier is obtained.
  • the step of obtaining the first user identifier and the message record associated with the first user identifier is required, and the first user identifier and the message record associated with the first user identifier are re-acquired to be re-determined. The information to be recommended associated with the first user identifier.
  • the message record is continuously updated.
  • the first preset time period needs to be re-acquired with the first user identifier.
  • the message record re-acquires the first transmission number of each type of information of the predetermined type sent by the second user identifier in the message record of the statistics, and re-determines the second number of transmissions, and then presets the predetermined type of the predetermined data with the second highest number of transmissions.
  • Each piece of information is used as the information to be recommended, and the information to be recommended is re-determined.
  • the first preset time period may be set to one month or other time period, for example, one week or ten days, that is, the information of the predetermined type of information sent to the second user identifier every other month.
  • the number of transmissions is updated to update the second number of transmissions, thereby realizing the update of the recommendation information.
  • the first number of transmissions is the number of times each of the predetermined types of information sent by the sender for each second user identifier in the last second preset time period in the message record.
  • the second preset time period may be one month or other time, that is, the first transmission number of each type of information of the predetermined type sent by the second user identifier in the most recent month.
  • the method further includes:
  • the information identifier is an identifier that uniquely specifies the identity of the information, and may include a character string of at least one of a number, a letter, and a punctuation.
  • the predetermined type of information associated with the first user identification is information of a predetermined type that the first user identification has correspondingly owned. Since the predetermined number of pieces of information whose second number of times of transmission is the largest may already be in the predetermined type of information associated with the first user identifier, in order to reduce the amount of information of the information to be recommended, the resource space occupied during the push process is reduced, and the predetermined type of the reservation is repeated. The information is filtered, and the information to be recommended is updated, and when the push is performed, the push time can be reduced and the recommendation efficiency can be improved.
  • an information recommendation method is provided, which can be run in the server shown in FIG. 1, and includes the following steps S310 to S340:
  • Step S310 to step S330 determining the to-be-recommended information associated with the first user identifier by using the method for determining recommendation information.
  • the to-be-recommended information associated with the first user identifier determined by the method for determining the recommendation information may be directly obtained.
  • the to-be-recommended information associated with the first user identifier may be obtained, where the to-be-recommended information is obtained by acquiring a first user identifier and a message record associated with the first user identifier; a first transmission number of each type of information of a predetermined type that is sent by the sender to each second user identifier except the first user identifier, and the determined information corresponding to each of the predetermined types of information respectively
  • the number of two transmissions is determined by a process of determining a predetermined number of the second transmission times as the information to be recommended associated with the first user identifier.
  • the predetermined number of the second transmission times is maximized.
  • the information is used as the to-be-recommended information associated with the first user identifier; otherwise, each of the predetermined types of information is determined as the to-be-recommended information.
  • the step of acquiring the first user identifier and the message record associated with the first user identifier after the first preset time period is separated re-determining and The first user identifier is associated with the information to be recommended.
  • the first number of transmissions is the number of times each of the predetermined types of information sent by the sender for each of the second user identifiers in the most recent second predetermined time period in the message record.
  • the server when the server performs the information recommendation, it first needs to acquire the to-be-recommended information associated with the first user identifier determined by any one of the foregoing methods for determining the recommendation information.
  • the server In order to avoid the problem that the recommendation information is pushed to all terminals to affect the recommendation efficiency, and the terminal does not need to recommend the information to receive the information to be recommended by the server, the server needs to receive the harassment of the terminal.
  • the user requests the recommendation request, it indicates that the terminal needs to push, and pushes the to-be-recommended information to the terminal corresponding to the first user identifier.
  • the information recommendation method is configured to obtain the to-be-recommended information associated with the first user identifier determined by the method for determining the recommendation information, and when the recommendation request for carrying the first user identifier sent by the terminal is received, identify the terminal corresponding to the first user identifier. Push the information to be recommended.
  • the device that determines the recommendation information is configured to use the information of the to-be-recommended information associated with the first user identifier as the information to be recommended, and the information to be recommended is more matched with the first user identifier, and the accuracy of the information to be recommended is improved.
  • the information to be recommended is pushed to the terminal corresponding to the first user identifier, so that the information to be recommended pushed to the terminal can accurately and accurately reflect the first user identifier.
  • the corresponding information desired by the user enables the user to improve the efficiency of the user's selection information when subsequently selecting the information.
  • an information recommendation method is provided, which can be executed in the terminal shown in FIG. 1, and includes the following steps:
  • the recommendation request includes its own first user ID.
  • the terminal needs to provide the information to be recommended for the server, the terminal sends a recommendation request to the server to request the terminal to push the information to be recommended.
  • the recommendation response includes information to be recommended that is associated with the first user identifier, and the information to be recommended includes: information sent by the sender in the message record associated with the first user identifier, and sent by the sender to the second user identifier other than the first user identifier.
  • the second number of transmissions is the predetermined number of predetermined types of information.
  • the second number of transmissions is the total number of transmissions corresponding to each piece of information of a predetermined type.
  • the information recommendation method sends a recommendation request to the server, where the recommendation request includes the first user identifier of the user, and the recommendation response returned by the server, where the recommendation response includes the information to be recommended associated with the first user identifier.
  • the predetermined number of predetermined times of the second transmission of the information that is sent by the second user identifier other than the first user identifier in the message record associated with the first user identifier is included in the received message to be recommended.
  • the information of the type can accurately reflect the information that is frequently sent by the second user identifier, and is the information to be recommended determined based on the information sent by the sender in the message record associated with the first user identifier.
  • the received information to be recommended is more closely matched with the first user identifier, and the accuracy of the information to be recommended is improved, and the information to be recommended can accurately reflect the information desired by the user corresponding to the first user identifier, thereby enabling the user to Improve the efficiency of user selection information when subsequent information selection.
  • the step of sending a recommendation request to the server may be entered when the number of predetermined types of information associated with the first user identifier is less than a preset number threshold.
  • the server Since the predetermined type of information associated with the first user identifier is already available, in order to avoid harassment, the server does not need to perform information recommendation, that is, when the number of predetermined types of information associated with the first user identifier is greater than or equal to a preset number threshold.
  • the terminal does not send a recommendation request to the server, and sends a recommendation request to the server only when the number of predetermined types of information associated with the first user identifier is less than a preset number threshold.
  • the number of predetermined types of information associated with the first user identification is a predetermined type of information associated with the first user identification that is statistically updated when the predetermined type of information associated with the first user identification is updated. number.
  • the number of predetermined types of information associated with the first user identification is re-stated to ensure the number of predetermined types of information associated with the first user identification. It is timely and accurate.
  • the recommendation response further includes a first information identifier corresponding to the information to be recommended.
  • the method further includes:
  • the information corresponding to the identifier of the first information identifier that is different from the second information identifier is added to the local.
  • the information to be recommended received by the terminal may be duplicated with the predetermined type of information associated with the first user identifier. Therefore, it is only necessary to perform information that is not locally available. Store to avoid duplication of information.
  • the method further includes:
  • the predetermined type of information associated with the first user identifier is updated based on the updated information to be recommended.
  • the terminal After obtaining the updated information to be recommended, the terminal updates the information to the predetermined type associated with the first user identifier, so that the predetermined type of information associated with the first user identifier is increased, so that the user can perform subsequent predetermined types of information. s Choice.
  • the method before the step of receiving the recommendation response returned by the server, the method further includes the steps of:
  • the terminal In order to ensure the smooth reception of the information, the terminal also needs to perform network connection detection. Specifically, it is monitored whether the terminal corresponding to the first user identifier is connected to a WiFi (Wireless-Fidelity) network.
  • WiFi Wireless-Fidelity
  • a computer device is further provided, and the internal structure of the computer device is as shown in FIG. 2, and the computer device is provided with a device for determining recommendation information or an information recommendation device, where the device includes each module, and each device includes The modules may be implemented in whole or in part by software, hardware or a combination thereof.
  • an apparatus for determining recommendation information is provided.
  • the apparatus may be disposed on a server. As shown in FIG. 6, the apparatus includes: a message record acquisition module 610, a number-of-message determination module 620, and recommendation information determination. Module 630.
  • the message record obtaining module 610 is configured to obtain a first user identifier and a message record associated with the first user identifier.
  • the information sending number determining module 620 is configured to acquire, according to the statistics, the first sending times of the predetermined types of information respectively sent by the sending party to the second user identifiers other than the first user identifier, and the determined predetermined type. Each of the information corresponds to a second number of transmissions;
  • the second number of transmissions is the total number of transmissions corresponding to each of the predetermined types of information.
  • the recommendation information determining module 630 is configured to use the predetermined number of pieces of information that is the second number of times of transmission as the to-be-recommended information associated with the first user identifier.
  • the device for determining the recommendation information, the first user identifier and the message record associated with the first user identifier, and the information of the predetermined type sent by the second user identifier other than the first user identifier in the statistics message record The first number of transmissions, the determined number of times of transmission of each type of information of the predetermined type; the predetermined number of pieces of information having the second highest number of transmissions as the information to be recommended associated with the first user identifier.
  • the device that determines the recommendation information may obtain the first number of times of sending the information of the predetermined type sent by the sender to the second user identifier other than the first user identifier, and the maximum number of times of the transmission is the largest.
  • the information can accurately reflect the information that the user sends a higher frequency corresponding to the second user identifier, and also reflects the information that the user corresponding to the second user identifier often sends, and the predetermined number of information that is the second largest number of times is regarded as the
  • the recommendation information is determined by the information sent by the sender in the message record associated with the first user identifier as the second user identifier, so that the determined information to be recommended matches the first user identifier.
  • the accuracy of the information to be recommended is improved, so that the information to be recommended can accurately reflect the information desired by the user corresponding to the first user identifier, so that the user can improve the efficiency of the user selection information when subsequently selecting the information.
  • the recommendation information determining module 630 when the number of pieces of information of a predetermined type in the message record is greater than a predetermined number, the predetermined number of pieces of information having the second highest number of times of transmission are to be recommended as associated with the first user identifier. Information, otherwise, each piece of information of a predetermined type is determined as information to be recommended.
  • the message record obtaining module 610 is further configured to reacquire the message record associated with the first user identifier after the first preset time period is separated.
  • the first number of transmissions is the number of times each of the predetermined types of information sent by the sender for each second user identifier in the last second preset time period in the message record.
  • the foregoing apparatus for determining recommendation information further includes:
  • An identifier obtaining module configured to acquire a first information identifier corresponding to each to-be-recommended information, and obtain a predetermined type of information associated with the first user identifier and a corresponding second information identifier;
  • the filtering module is configured to filter information corresponding to the identifier corresponding to the second information identifier in the first information identifier, and update the information to be recommended.
  • an information recommendation apparatus which may be disposed on a server, as shown in FIG. 7, including the apparatus for determining recommendation information and the push module 640.
  • the pushing module 640 is configured to: when receiving the recommendation request that carries the first user identifier sent by the terminal, push the to-be-recommended information associated with the first user identifier determined by the device that determines the recommendation information to the terminal corresponding to the first user identifier.
  • the information recommendation device uses a predetermined number of information that is the second number of times of transmission as the to-be-recommended information associated with the first user identifier; when receiving the recommendation request that is sent by the terminal and carries the first user identifier And pushing the to-be-recommended information to the terminal corresponding to the first user identifier.
  • the device for determining the recommendation information by using the predetermined number of pieces of information with the second number of times of transmission as the information to be recommended associated with the first user identifier, is more closely matched with the first user identifier, thereby improving the accuracy of the information to be recommended, so that when the terminal is received
  • the information to be recommended is pushed to the terminal corresponding to the first user identifier, so that the information to be recommended pushed to the terminal can accurately and accurately reflect the user that the first user identifier corresponds to.
  • the information enables the user to improve the efficiency of the user's selection information when subsequently selecting information.
  • an information recommendation device is further provided, and the device is set at the terminal, as shown in FIG. 8, and includes:
  • the recommendation request sending module 810 is configured to send a recommendation request to the server, where the recommendation request includes its own first user identifier;
  • the recommendation response receiving module 820 is configured to receive a recommendation response returned by the server, where the recommendation response includes the to-be-recommended information associated with the first user identifier, where the information to be recommended includes: the message record associated with the first user identifier, and the statistical sender is A predetermined number of predetermined types of information that is transmitted by the second user identifier other than the first user identifier and whose second transmission number of information is the largest.
  • the second number of transmissions is a second number of transmissions corresponding to each piece of information of a predetermined type.
  • the information recommendation device sends a recommendation request to the server, where the recommendation request includes its own first user identifier; and the recommendation response returned by the receiving server, the recommendation response includes the to-be-recommended information associated with the first user identifier.
  • the received information to be recommended includes a predetermined number of predetermined types of information that are sent by the second user identifier other than the first user identifier in the message record associated with the first user identifier. The information that is frequently sent by the user corresponding to the second user identifier is accurately reflected, and the information to be recommended is determined based on the information sent by the sender in the message record associated with the first user identifier.
  • the received information to be recommended is more closely matched with the first user identifier, and the accuracy of the information to be recommended is improved.
  • the information to be recommended can accurately reflect the information desired by the user corresponding to the first user identifier, so that the user performs subsequent Improve user selection information efficiency when selecting information.
  • the recommendation request sending module 810 sends a recommendation request to the server when the number of predetermined types of information associated with the first user identification is less than a preset number of thresholds.
  • the number of predetermined types of information associated with the first user identification is a predetermined type of information associated with the first user identification that is statistically updated when the predetermined type of information associated with the first user identification is updated. number.
  • the recommendation response further includes a first information identifier corresponding to the information to be recommended.
  • the above information recommendation device further includes:
  • An information identifier obtaining module configured to acquire a predetermined type of information associated with the first user identifier and a corresponding second information identifier
  • an update module configured to add information corresponding to the identifier that is different from the second information identifier in the first information identifier to the local.
  • the information to be recommended received by the terminal may be duplicated with the predetermined type of information associated with the first user identifier. Therefore, it is only necessary to perform information that is not locally available. Store to avoid duplication of information.
  • the information recommendation device further includes:
  • a predetermined type of information updating module configured to update, according to the updated information to be recommended, a predetermined type of information associated with the first user identifier.
  • the recommendation response receiving module is further configured to monitor whether the terminal corresponding to the first user identifier is connected to the network, and if yes, receive the recommendation response returned by the server.
  • a computer device including a memory and a processor, where the computer program is stored in the memory, and when the computer program is executed by the processor, the processor performs the following steps: acquiring the first user identifier and The first user identifier is associated with the message record; and the first transmission number of each type of information that is sent by each of the second user identifiers other than the first user identifier by the sender in the statistical message record is obtained, and the predetermined type of the determined type is determined.
  • Each of the information corresponds to a second number of transmissions; the predetermined number of pieces of information having the second highest number of transmissions is used as the information to be recommended associated with the first user identifier.
  • the second number of transmissions is the total number of transmissions.
  • the processor further performs the step of: when the number of pieces of information of the predetermined type is greater than the predetermined number in the message record, entering a predetermined number of pieces of information that is the second number of times of transmission as being associated with the first user identifier The step of recommending information; otherwise, each piece of information of a predetermined type is determined as information to be recommended.
  • the processor may further perform the steps of: after the first preset time period is separated, returning the step of acquiring the first user identifier and the message record associated with the first user identifier, and re-determining the association with the first user identifier. Information to be recommended.
  • the first number of transmissions is the number of times each of the predetermined types of information sent by the sender for each second user identifier in the last second preset time period in the message record.
  • the step of performing after the step of performing, by the processor, the predetermined number of pieces of information that is the largest number of times of the second transmission as the to-be-recommended information associated with the first user identifier, the step of performing: acquiring the first information identifier corresponding to each to-be-recommended information; Obtaining a predetermined type of information associated with the first user identifier and a second information identifier corresponding to each information; filtering information corresponding to the identifier of the first information identifier that is the same as the second information identifier, and updating the information to be recommended.
  • a computer apparatus comprising a memory and a processor, the memory storing a computer program, the computer program being executed by the processor, causing the processor to perform the following steps:
  • to-be-recommended information associated with the first user identifier wherein the to-be-recommended information is obtained by acquiring a first user identifier and a message record associated with the first user identifier; a first transmission number of each type of information of a predetermined type that is sent by each of the second user identifiers other than the first user identifier, and a second number of transmissions corresponding to each of the predetermined types of information that are determined by the party; Determining, by the process of the to-be-recommended information associated with the first user identifier, a predetermined number of the pieces of information having the second highest number of transmissions;
  • the recommendation request for carrying the first user identifier sent by the terminal is received, the information to be recommended is pushed to the terminal corresponding to the first user identifier.
  • the predetermined number of the second transmission times is maximized.
  • the information is used as the to-be-recommended information associated with the first user identifier; otherwise, each of the predetermined types of information is determined as the to-be-recommended information.
  • the step of acquiring the first user identifier and the message record associated with the first user identifier after the first preset time period is separated re-determining and The first user identifier is associated with the information to be recommended.
  • the first number of transmissions is the number of times each of the predetermined types of information sent by the sender for each of the second user identifiers in the most recent second predetermined time period in the message record.
  • a computer apparatus comprising a memory and a processor, wherein the memory stores a computer program, and when the computer program is executed by the processor, causing the processor to perform the step of: sending a recommendation request to the server, the recommendation request including itself The first user identifier; the recommendation response returned by the receiving server, the recommendation response includes the information to be recommended associated with the first user identifier, and the information to be recommended includes: the message record associated with the first user identifier, and the sender of the statistics is the first A predetermined number of predetermined types of information that is transmitted by the second user identifier other than the user identifier and whose second transmission number of information is the largest. The second number of transmissions is the total number of transmissions corresponding to each piece of information of a predetermined type.
  • the processor is further operative to: enter a step of transmitting a recommendation request to the server when the number of predetermined types of information associated with the first user identification is less than a predetermined number of thresholds.
  • the number of predetermined types of information associated with the first user identification is the number of predetermined types of information associated with the first user identification that are statistically updated when the predetermined type of information associated with the first user identification is updated.
  • the recommendation response further includes a first information identifier corresponding to the information to be recommended.
  • the processor After performing the step of receiving the recommendation response returned by the server, the processor further performs the steps of: acquiring the predetermined type of information associated with the first user identifier and the corresponding second information identifier; and determining that the first information identifier is different from the second information identifier The information corresponding to the identifier is added to the local.
  • the processor after receiving the updated information to be recommended, the processor further performs the step of: updating the predetermined type of information associated with the first user identifier according to the updated information to be recommended.
  • the processor before performing the step of receiving the recommendation response returned by the server, the processor further performs the steps of: monitoring whether the terminal corresponding to the first user identifier is connected to the network; if yes, entering the step of receiving the recommendation response returned by the server.
  • the various steps in the various embodiments of the present application are not necessarily performed in the order indicated by the steps. Except as explicitly stated herein, the execution of these steps is not strictly limited, and the steps may be performed in other orders. Moreover, at least some of the steps in the embodiments may include multiple sub-steps or multiple stages, which are not necessarily performed at the same time, but may be executed at different times, and the execution of these sub-steps or stages The order is also not necessarily sequential, but may be performed alternately or alternately with other steps or at least a portion of the sub-steps or stages of the other steps.
  • Non-volatile memory can include read only memory (ROM), programmable ROM (PROM), electrically programmable ROM (EPROM), electrically erasable programmable ROM (EEPROM), or flash memory.
  • Volatile memory can include random access memory (RAM) or external cache memory.
  • RAM is available in a variety of formats, such as static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), double data rate SDRAM (DDRSDRAM), enhanced SDRAM (ESDRAM), synchronization chain.
  • SRAM static RAM
  • DRAM dynamic RAM
  • SDRAM synchronous DRAM
  • DDRSDRAM double data rate SDRAM
  • ESDRAM enhanced SDRAM
  • Synchlink DRAM SLDRAM
  • Memory Bus Radbus
  • RDRAM Direct RAM
  • DRAM Direct Memory Bus Dynamic RAM
  • RDRAM Memory Bus Dynamic RAM

Abstract

一种确认推荐信息的方法及装置，获取与第一用户标识关联的消息记录，获取根据统计的消息记录中发送方为第一用户标识之外的各第二用户标识分别发送的预定类型的各信息的第一发送次数，并确定第二发送次数，将第二发送次数最大的预定数目个信息作为待推荐信息。一种信息推荐方法及装置，当接收到终端发送的携带第一用户标识的推荐请求时，向第一用户标识对应的终端推送上述待推荐信息。另一种信息推荐方法及装置，向服务器发送推荐请求，推荐请求包括自身的第一用户标识，接收服务器返回的推荐响应，推荐响应包括上述与第一用户标识关联的待推荐信息。基于本实施例方案的待推荐信息能有针对性地准确反映第一用户标识想要的信息。

Description

确定推荐信息的方法及装置、信息推荐方法及装置
本申请要求于2017年04月13日提交中国专利局，申请号为2017102411327，申请名称为“确定推荐信息的方法及装置、信息推荐方法及装置”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，特别涉及一种确定推荐信息的方法及装置、信息推荐方法及装置、计算机设备和存储介质。
背景技术
随着移动互联网的发展，大家发送的聊天工具越来越多，可通过多种不同类型的信息进行沟通，其中信息可包括文字信息、语音信息和表情信息，人们喜欢发送表情来表达感情，获取这些信息的方式有许多，常用的方式是用户在指定页面下载信息。
然而，指定页面中包含的信息数量通常有很多，对于很多普通用户来说，他们很难在指定页面的海量信息中找到自己喜欢或需要的信息，可能会出现的情况就是用户花费了许多时间查看了不少表情后发现没有找到想要的然后就放弃了，即在指定页面中供以下载的信息数量太多不能有针对性地准确反映出用户想要的信息，这样导致用户后续需要选择添加信息时，需要花费较多的时间去查找需要的信息，且可能无法找到自己想要的信息。
发明内容
根据本申请提供的各种实施例，提出一种确定推荐信息的方法及装置、信息推荐方法及装置、计算机设备和存储介质。
一种确定推荐信息的方法，包括以下步骤：
获取第一用户标识以及与所述第一用户标识关联的消息记录；
获取根据统计的所述消息记录中发送方为所述第一用户标识之外的各第二用户标识分别发送的预定类型的各信息的第一发送次数，确定的所述预定类型的各所述信息分别对应的第二发送次数；所述第二发送次数为总发送次数；
将第二发送次数最大的预定数目个所述信息作为与所述第一用户标识关联的待推荐信息。
一种信息推荐方法，包括以下步骤：
获取与第一用户标识关联的待推荐信息；其中，所述待推荐信息通过获取第一用户标识以及与所述第一用户标识关联的消息记录；获取根据统计的所述消息记录中发送方为所述第一用户标识之外的各第二用户标识分别发送的预定类型的各信息的第一发送次数，确定的所述预定类型的各所述信息分别对应的第二发送次数；将第二发送次数最大的预定数目个所述信息作为与所述第一用户标识关联的待推荐信息的过程确定；
当接收到终端发送的携带所述第一用户标识的推荐请求时，向所述第一用户标识对应的所述终端推送所述待推荐信息。
一种信息推荐方法，包括以下步骤：
向服务器发送推荐请求，所述推荐请求包括自身的第一用户标识；
接收所述服务器返回的推荐响应，所述推荐响应包括与所述第一用户标识关联的待推荐信息，所述待推荐信息包括：与所述第一用户标识关联的消息记录中、统计的发送方为所述第一用户标识之外的第二用户标识发送的、信息的第二发送次数最大的预定数目个预定类型的各所述信息；
其中，所述第二发送次数为所述预定类型的各信息分别对应的总发送次数。
一种计算机设备，包括存储器和处理器，所述存储器中存储有计算机程序，所述计算机程序被所述处理器执行时，使得所述处理器执行如下步骤：
获取第一用户标识以及与所述第一用户标识关联的消息记录；
获取根据统计的所述消息记录中发送方为所述第一用户标识之外的各第 二用户标识分别发送的预定类型的各信息的第一发送次数，确定的所述预定类型的各所述信息分别对应的第二发送次数；所述第二发送次数为总发送次数；
将第二发送次数最大的预定数目个所述信息作为与所述第一用户标识关联的待推荐信息。
一种计算机设备，包括存储器和处理器，所述存储器中存储有计算机程序，所述计算机程序被所述处理器执行时，使得所述处理器执行如下步骤：
获取与第一用户标识关联的待推荐信息；其中，所述待推荐信息通过获取第一用户标识以及与所述第一用户标识关联的消息记录；获取根据统计的所述消息记录中发送方为所述第一用户标识之外的各第二用户标识分别发送的预定类型的各信息的第一发送次数，确定的所述预定类型的各所述信息分别对应的第二发送次数；将第二发送次数最大的预定数目个所述信息作为与所述第一用户标识关联的待推荐信息的过程确定；
当接收到终端发送的携带所述第一用户标识的推荐请求时，向所述第一用户标识对应的所述终端推送所述待推荐信息。
一种计算机设备，包括存储器和处理器，所述存储器中存储有计算机程序，所述计算机程序被所述处理器执行时，使得所述处理器执行如下步骤：
向服务器发送推荐请求，所述推荐请求包括自身的第一用户标识；
接收所述服务器返回的推荐响应，所述推荐响应包括与所述第一用户标识关联的待推荐信息，所述待推荐信息包括：与所述第一用户标识关联的消息记录中、统计的发送方为所述第一用户标识之外的第二用户标识发送的、信息的第二发送次数最大的预定数目个预定类型的各所述信息；
其中，所述第二发送次数为所述预定类型的各信息分别对应的总发送次数。
一个或多个存储有计算机程序的非易失性存储介质，所述计算机程序被一个或多个处理器执行时，使得一个或多个处理器执行如下步骤：
获取第一用户标识以及与所述第一用户标识关联的消息记录；
获取根据统计的所述消息记录中发送方为所述第一用户标识之外的各第二用户标识分别发送的预定类型的各信息的第一发送次数，确定的所述预定类型的各所述信息分别对应的第二发送次数；所述第二发送次数为总发送次数；
将第二发送次数最大的预定数目个所述信息作为与所述第一用户标识关联的待推荐信息。
一个或多个存储有计算机程序的非易失性存储介质，所述计算机程序被一个或多个处理器执行时，使得一个或多个处理器执行如下步骤：
获取与第一用户标识关联的待推荐信息；其中，所述待推荐信息通过获取第一用户标识以及与所述第一用户标识关联的消息记录；获取根据统计的所述消息记录中发送方为所述第一用户标识之外的各第二用户标识分别发送的预定类型的各信息的第一发送次数，确定的所述预定类型的各所述信息分别对应的第二发送次数；将第二发送次数最大的预定数目个所述信息作为与所述第一用户标识关联的待推荐信息的过程确定；
当接收到终端发送的携带所述第一用户标识的推荐请求时，向所述第一用户标识对应的所述终端推送所述待推荐信息。
一个或多个存储有计算机程序的非易失性存储介质，所述计算机程序被一个或多个处理器执行时，使得一个或多个处理器执行如下步骤：
向服务器发送推荐请求，所述推荐请求包括自身的第一用户标识；
接收所述服务器返回的推荐响应，所述推荐响应包括与所述第一用户标识关联的待推荐信息，所述待推荐信息包括：与所述第一用户标识关联的消息记录中、统计的发送方为所述第一用户标识之外的第二用户标识发送的、信息的第二发送次数最大的预定数目个预定类型的各所述信息；
其中，所述第二发送次数为所述预定类型的各信息分别对应的总发送次数。
本申请的一个或多个实施例的细节在下面的附图和描述中提出。本申请的其它特征、目的和优点将从说明书、附图以及权利要求书变得明显。
附图说明
为了更清楚地说明本申请实施例中的技术方案，下面将对实施例描述中所需要使用的附图作简单地介绍，显而易见地，下面描述中的附图仅仅是本申请的一些实施例，对于本领域普通技术人员来讲，在不付出创造性劳动的前提下，还可以根据这些附图获得其他的附图。
图1为本申请一个实施例的应用环境示意图；
图2为一个实施例中的计算机设备的内部结构示意图；
图3为一个实施例的确定推荐信息的方法的流程示意图；
图4为一个实施例的信息推荐方法的流程示意图；
图5为另一个实施例的信息推荐方法的流程示意图；
图6为一个实施例的确定推荐信息的装置的模块示意图；
图7为一个实施例的信息推荐装置的模块示意图；
图8为另一个实施例的信息推荐装置的模块示意图。
具体实施方式
为使本申请的目的、技术方案及优点更加清楚明白，以下结合附图及实施例，对本申请进行进一步的详细说明。应当理解，此处所描述的具体实施方式仅仅用以解释本申请，并不限定本申请的保护范围。
图1示出了本申请一个实施例中的应用环境示意图，如图1所示，其应用环境涉及终端110和服务器120，终端110及服务器120可以通过网络130进行通信。服务器120可统计与第一用户标识关联的待推荐信息，并且接收到终端110发送的携带第一用户标识的推荐请求时，向第一用户标识对应的终端110推送该待推荐信息。终端110可对服务器120推送的待推荐信息进行接收，具体地，终端110需要向服务器120发送推荐请求，服务端120只有对接收到的推荐请求中携带的第一用户标识对应的终端110进行信息推荐。终端110接收服务器响应推荐请求推送的待推荐信息。
其中，终端110可以是任何一种能够实现智能输入输出、接收待推荐信息以及进行信息添加并向其他终端发送添加的信息的设备，例如，台式电脑或移动终端，移动终端可以是智能手机、平板电脑、车载电脑、穿戴式智能设备等。该服务器120可以是确定推荐信息以及进行推荐信息推送的平台所在的服务器；服务器120可以为一个或多个。本实施例涉及的是服务器120确定推荐信息和进行信息推荐的方案以及终端110接收推荐信息的方案，终端110可对服务器120推送的推荐信息进行信息添加实现添加的信息发送给其他终端实现信息智能操作。
一个实施例中的计算机设备的内部结构图如图2所示。该计算机设备可以是终端110或服务器120。如图2所示，计算机设备包括通过系统总线连接的处理器、存储器和网络接口。存储器包括非易失性存储介质和内存，其中，计算机设备的非易失性存储介质可存储有操作系统和计算机程序。计算机设备为服务器120时，该计算机程序被执行时，可使得处理器执行一种确定推荐信息的方法和信息推荐方法，计算机设备为终端110时，计算机程序被执行时，可使得处理器执行另一种信息推荐方法。计算机设备的处理器用于提供计算和控制能力，支撑整个计算机设备的运行。计算机设备的内存中可储存有计算机程序，该计算机程序被处理器执行时，可使得处理器执行一种确定推荐信息的方法和信息推荐方法，或执行另一种信息推荐方法。网络接口用于与网络130连接和通信。
本领域技术人员可以理解，图2中示出的结构，仅仅是与本申请方案相关的部分结构的框图，并不构成对本申请方案所应用于其上的终端或服务器的限定，具体的终端或服务器可以包括比图中所示更多或更少的部件，或者组合某些部件，或者具有不同的部件布置。
如图3所示，在一个实施例中，提供确定推荐信息的方法，该方法可运行在如图1所示的服务器中，包括步骤S310至步骤S330：
S310：获取第一用户标识以及与第一用户标识关联的消息记录。
用户标识为能唯一指定用户身份的标识，可以包括数字、字母和标点符 号中的至少一种的字符的字符串，第一用户标识为可接收待推荐信息用户对应的用户标识，不同的用户标识之间通过相互之间的关联可进行消息通信，从而会产生与第一用户标识关联的消息记录。在本实施例中，获取到第一用户标识后，也就知道可接收待推荐信息的用户标识，从而，可获取与第一用户标识关联的消息记录，以即时聊天的应用场景为例，消息记录可以包括对话记录以及群聊天记录。例如，在实际聊天应用中，用户A和用户B之间的关联，可以包括好友关联和群组关联，好友关联指用户A和用户B互为好友，群组关联是指用户A和用户B隶属于相同的群组。用户A和用户B有关联后，则可相互进行消息交流，若为好友关联，用户A和用户B之间可以进行一对一的消息通信，即可通过用户之间的对话记录获取用户发送的信息。若为群组关联，用户可通过将消息发送至群组，群组中的其他用户可获取到群聊天记录从而获取到该用户发送的信息，实现不同用户之间的消息通信。
S320：获取根据统计的消息记录中发送方为第一用户标识之外的各第二用户标识分别发送的预定类型的各信息的第一发送次数，确定的预定类型的各信息分别对应的第二发送次数。
其中，第二发送次数为预定类型的各信息分别对应的总发送次数。上述与第一用户标识关联的消息记录中，包括有与第一用户标识为好友关联的第二用户标识与第一用户标识之间的对话记录，以及与第一用户标识为群组关联的第二用户标识与第一用户标识所在相同群组的群聊天记录，与第一用户标识关联的第二用户标识的数量可以有多个，从而，可对消息记录中发送方为各第二用户标识分别发送的信息的发送次数(本实施例中称为第一发送次数)进行统计。例如，与第一用户标识A关联的第二用户标识有B和C，与第一用户标识A关联的消息记录中记录了第二用户标识B向第一用户标识A发送的信息有信息X(2次)和信息Y(3次)，即第二用户标识B发送的信息X的发送次数为2(表情X的第一发送次数为2)，发送的信息Y的发送次数为3(表情Y的第一发送次数为2)。与第一用户标识A关联的消息记录中还记录有第二用户标识C向第一用户标识A发送的信息X(3次)、信息Y (2次)和信息Z(2次)，即第二用户标识C发送的信息X的发送次数为3，发送的信息Y的发送次数为2，发送的信息Z的发送次数为2。如此，可确定各信息分别对应的总发送次数即第二发送次数，即信息X对应的第二发送次数为5，信息Y对应的第二发送次数为5，表情Z对应的第二发送次数则为2。在本实施例中，可以是实时统计，也可以是每次有消息记录更新时进行统计。
在实际应用中，不同用户之间的交流，可通过文字类信息、语音类信息、视频类信息以及表情类信息进行交流，即预定类型可包括文字类型、语音类型、视频类型以及表情类型，在本具体示例中，以表情类信息进行交流为例，从而是对表情类推荐信息的确定，则预定类型为表情类型，预定类型的各信息为表情信息。即，根据上述消息记录，可统计消息记录中发送方为第一用户标识之外的各第二用户标识分别发送的各表情信息的第一发送次数，第一发送次数为各第二用户标识分别发送的表情信息的次数，可以理解，各表情信息分别有自己对应的第一发送次数，然后根据发送方为第一用户标识之外的各第二用户标识分别发送的各表情信息的第一发送次数可确定各表情信息的第二发送次数，第二发送次数为各表情信息分别对应的总发送次数。
假设一个示例中与第一用户标识A关联的其他用户标识(第二用户标识)发送的表情信息的第一发送次数如表1所示，其中，用户标识C、用户标识D、用户标识E、用户标识F和用户标识G与第一用户标识A为好友关联，用户标识AA、用户标识AB、用户标识AC和用户标识AD与第一用户标识A为群组，如表1所示，用户标识C发送了4次表情信息1(即针对用户标识C，表情信息1对应的第一发送次数为4)，用户标识D发送了2次表情信息2，用户标识E发送表情3发送了2次，用户标识F发送表情4发送了1次，用户标识G发送表情3发送了1次，用户标识AA发送表情1发送了2次、用户标识AB发送表情1发送了1次、用户标识AC发送表情2发送了2次和用户标识AD发送表情4发送了1次。通过统计发送的表情信息的总发送次数，获得第二发送次数分别为：表情信息1的第二发送次数为7次，表 情信息2的第二发送次数为4次，表情信息3的第二发送次数为2次，表情信息4的第二发送次数为2次。
表1与第一用户标识A关联的消息记录统计
标识 汇总次数
用户标识C 表情信息1发送4次
用户标识D 表情信息2发送2次
用户标识E 表情信息3发送2次
用户标识F 表情信息4发送1次
用户标识G 表情信息3发送1次
用户标识AA 表情信息1发送2次
用户标识AB 表情信息1发送1次
用户标识AC 表情信息2发送2次
用户标识AD 表情信息4发送1次
S330：将第二发送次数最大的预定数目个信息作为与第一用户标识关联的待推荐信息。
基于社交关系，一般用户所添加的好友或所在群组中其他用户大部分都是同一个群体的，因此用户所使用的预定类型的信息与其好友或群组中的其他用户是比较相似的，所以对每个第一用户标识而言，需要获取与其关联的消息记录中对话记录以及群聊天记录发送的预定类型的各信息的第一发送次数，并确定预定类型的各信息的第二发送次数，第二发送次数越大表示该预定类型的信息发送越频繁，该预定类型的信息使用越频繁，越能准确反映出第一用户标识对应的用户想要的信息，从而将第二发送次数最大的预定数目个信息作为与第一用户标识关联的待推荐信息，这样可确保确定的待推荐信息能有针对性地准确反映第一用户标识对应的用户想要的信息，用户在后续进行预定类型的信息的选择时，无需在海量的信息中进行选择，节约选择时间，提高用户选择效率。
不同的第一用户标识，由于其关联的消息记录不同，从而确定的待推荐 信息也是不同的，例如，服务器为第一用户标识A1确定的待推荐信息可能包括表情信息1、表情信息2、表情信息3和表情信息4，而为第一用户标识A2确定的待推荐信息可能包括表情信息4、表情信息5、表情信息6和表情信息7。
上述确定推荐信息的方法，获取第一用户标识以及与第一用户标识关联的消息记录；获取根据统计的消息记录中发送方为第一用户标识之外的各第二用户标识发送的预定类型的各信息的第一发送次数，确定的预定类型的各信息的第二发送次数；将第二发送次数最大的预定数目个信息作为与第一用户标识关联的待推荐信息。通过上述确定推荐信息的方法，可获取到消息记录中根据统计的发送方为第一用户标识之外的各第二用户标识发送的预定类型的各信息的第一发送次数，确定的预定类型的各信息的第二发送次数，第二发送次数最大的预定数目个信息能准确反映出与第二用户标识对应的用户发送频次较高的信息，也就反映出第二用户标识对应常发送的信息，将第二发送次数最大的预定数目个信息作为待推荐信息，也就是以与第一用户标识关联的消息记录中发送方为第二用户标识对应的信息发送情况为依据进行待推荐信息的确定，使得确定的待推荐信息与第一用户标识更加匹配，提高待推荐信息的准确度，使待推荐信息能有针对性地准确反映出第一用户标识对应的用户想要的信息，从而使用户在后续进行信息选择时提高用户选择信息效率。
在其中一个实施例中，可以是在消息记录中预定类型的各信息的数目大于预定数目时，则进入将第二发送次数最大的预定数目个信息作为与第一用户标识关联的待推荐信息的步骤；否则，将预定类型的各信息确定为待推荐信息。
由于在消息记录中预定类型的各信息的数目可能存在小于或等于预定数目的情况，从而还需要对预定类型的各信息的数目是否大于预定数目进行分析，若预定类型的各信息的数目大于预定数目，说明将预定数据各信息作为待推荐信息的数目是足够的，直接将第二发送次数最大的预定数目个信息作 为与第一用户标识关联的待推荐信息即可，否则，将预定数据各信息作为待推荐信息的数目是不够的，此时，直接将消息记录中预定类型的各信息全部作为待推荐信息。例如，在本实施例中，预定数目为10，预定类型的信息为表情信息，若消息记录中发送方为第二用户标识发送的表情信息的数目为11个，即与第一用户标识关联的消息记录中表情信息的数目是大于预定数目10的，足以从中选择出发送次数前10的表情信息作为待推荐信息，若消息记录中发送方为第二用户标识发送的表情信息的数目为6个，即与第一用户标识关联的消息记录中表情信息的数目是小于预定数目10的，不足以从中选择出发送次数前10的表情信息作为待推荐信息，此时，将所有的表情信息(6个表情信息)作为待推荐信息。
在其中一个实施例中，上述确定推荐信息的方法，还可以包括步骤：
间隔第一预设时间段后，返回获取第一用户标识以及与第一用户标识关联的消息记录的步骤，重新确定与第一用户标识关联的待推荐信息。
也就是说，在获取第一用户标识以及与第一用户标识关联的消息记录之后，可以记录获取与第一用户标识关联的消息记录的获取时间，在获取与第一用户标识关联的消息记录的之后的第一预设时间段后，需要返回获取第一用户标识以及与第一用户标识关联的消息记录的步骤，重新获取第一用户标识以及与第一用户标识关联的消息记录，以重新确定与第一用户标识关联的待推荐信息。
随着聊天的持续进行，消息记录是在不断更新的，为了避免确定的待推荐信息过时，使待推荐信息能及时更新，需要每间隔第一预设时间段重新获取与第一用户标识关联的消息记录，重新获取统计的消息记录中第二用户标识发送的预定类型的各信息的第一发送次数，并重新确定第二发送次数，后续再将第二发送次数最大的预定数据的预定类型的各信息作为待推荐信息，实现待推荐信息的重新确定，这样可确保待推荐信息的及时更新，更加符合用户当前想要的预定类型的信息。在本实施例中，第一预设时间段可以设置为一个月或者其他时间段，例如1个星期或者10天，即可每隔一个月对第二 用户标识发送的预定类型的各信息的第一发送次数进行更新，从而更新第二发送次数，从而实现对待推荐信息的更新。
在其中一个实施例中，第一发送次数为消息记录中最近第二预设时间段内发送方为各第二用户标识分别发送的预定类型的各信息的发送次数。
由于与当前时间越近的时间段内的第二用户标识发送的预定类型的信息越能反映最近一段时间内常发送的信息，越能反映第一用户标识在这一段时间内想要发送的表情，从而，在获取统计的第一发送次数时，是获取统计的在最近第二预设时间段内发送的预定类型的各信息的第一发送次数，以确保后续确定的待推荐信息是第二用户标识最新使用的预定类型的信息。在本实施例中，第二预设时间段可以为一个月或者其他时间，即计的是在最近一个月内第二用户标识发送的预定类型的各信息的第一发送次数。
在一个实施例中，将第二发送次数最大的预定数目个信息作为与第一用户标识关联的待推荐信息的步骤之后还包括：
获取各待推荐信息对应的第一信息标识；
获取与第一用户标识关联的预定类型的信息以及各信息对应的第二信息标识；
将第一信息标识中与第二信息标识相同的标识对应的信息过滤，更新待推荐信息。
信息标识为能唯一指定信息身份的标识，可以包括数字、字母和标点符号中的至少一种的字符的字符串。与第一用户标识关联的预定类型的信息为第一用户标识已经对应拥有的预定类型的信息。由于第二发送次数最大的预定数目个信息可能已经在第一用户标识关联的预定类型的信息中了，为了减少待推荐信息的信息量，减少推送过程中占用的资源空间，对重复的预定类型的信息进行过滤，更新待推荐信息，后续在进行推送时，可减少推送时间，提高推荐效率。
如图4所示，在一个实施例中，提供一种信息推荐方法，可运行在如图 1所示的服务器中，包括以下步骤S310至步骤S340：
步骤S310至步骤S330：采用上述确定推荐信息的方法确定与第一用户标识关联的待推荐信息。
在另一个实现方式中，也可以是直接获取采用上述确定推荐信息的方法确定的与第一用户标识关联的待推荐信息。例如，在一个实施例中，可以获取与第一用户标识关联的待推荐信息，所述待推荐信息通过获取第一用户标识以及与所述第一用户标识关联的消息记录；获取根据统计的所述消息记录中发送方为所述第一用户标识之外的各第二用户标识分别发送的预定类型的各信息的第一发送次数，确定的所述预定类型的各所述信息分别对应的第二发送次数；将第二发送次数最大的预定数目个所述信息作为与所述第一用户标识关联的待推荐信息的过程确定。
在一个实施例中，在确定待推荐信息中，在所述消息记录中预定类型的各所述信息的数目大于所述预定数目时，则将所述将第二发送次数最大的预定数目个所述信息作为与所述第一用户标识关联的待推荐信息；否则，将所述预定类型的各所述信息确定为所述待推荐信息。
在一个实施例中，在确定待推荐信息中，间隔第一预设时间段后，返回所述获取第一用户标识以及与所述第一用户标识关联的消息记录的步骤，重新确定与所述第一用户标识关联的待推荐信息。
在一个实施例中，所述第一发送次数为所述消息记录中最近第二预设时间段内发送方为各所述第二用户标识分别发送的预定类型的各信息的发送次数。
S340：当接收到终端发送的携带第一用户标识的推荐请求时，向第一用户标识对应的终端推送待推荐信息。
即服务器在进行信息推荐时，首先需要获取通过上述确定推荐信息的方法中的任意一种确定的与第一用户标识关联的待推荐信息。为了避免向所有终端推送待推荐信息影响推荐效率，且避免终端在不需要推荐信息的情况下接收到服务器推送的待推荐信息给终端带来骚扰的问题，服务器需要在接收 到终端发送的携带第一用户标识的推荐请求时，也就表示终端需要推送，向第一用户标识对应的终端推送待推荐信息。
上述信息推荐方法，获取采用上述确定推荐信息的方法确定的与第一用户标识关联的待推荐信息；当接收到终端发送的携带第一用户标识的推荐请求时，向第一用户标识对应的终端推送待推荐信息。通过上述确定推荐信息的装置将第二发送次数最大的预定数目个信息作为与第一用户标识关联的待推荐信息，使待推荐信息与第一用户标识更加匹配，提高待推荐信息的准确度，从而当接收到终端发送的携带第一用户标识的推荐请求时，向第一用户标识对应的终端推送待推荐信息，使向终端推送的待推荐信息能有针对性地准确反映出第一用户标识对应的用户想要的信息，使用户在后续进行信息选择时提高用户选择信息效率。
如图5所示，在一个实施例中，提供一种信息推荐方法，可运行在如图1所示的终端，包括以下步骤：
S510：向服务器发送推荐请求。
推荐请求包括自身的第一用户标识。终端在需要服务端为其提供待推荐信息时，向服务器发送推荐请求，以请求终端推送待推荐信息。
S520：接收服务器返回的推荐响应。
推荐响应包括与第一用户标识关联的待推荐信息，待推荐信息包括：与第一用户标识关联的消息记录中、统计的发送方为第一用户标识之外的第二用户标识发送的、信息的第二发送次数最大的预定数目个预定类型的各信息。其中，第二发送次数为预定类型的各信息分别对应的总发送次数。
上述信息推荐方法，向服务器发送推荐请求，推荐请求包括自身的第一用户标识；接收服务器返回的推荐响应，推荐响应包括与第一用户标识关联的待推荐信息。由于接收的待推荐信息中包括与第一用户标识关联的消息记录中、统计的发送方为第一用户标识之外的第二用户标识发送的、信息的第二发送次数最大的预定数目个预定类型的各信息，能准确反映出第二用户标 识对应常发送的信息，是以与第一用户标识关联的消息记录中发送方为第二用户标识对应的信息发送情况为依据确定的待推荐信息，从而接收的待推荐信息与第一用户标识更加匹配，提高待推荐信息的准确度，待推荐信息能有针对性地准确反映出第一用户标识对应的用户想要的信息，从而使用户在后续进行信息选择时提高用户选择信息效率。
在其中一个实施例中，在上述步骤S510中，可以是在与第一用户标识关联的预定类型的信息的数目小于预设数目阈值时，进入向服务器发送推荐请求的步骤。
由于第一用户标识关联的预定类型的信息已经有很多了，为避免骚扰，无需服务器再进行信息推荐，即在与第一用户标识关联的预定类型的信息的数目大于或等于预设数目阈值时，终端不向服务端发送推荐请求，只有在与第一用户标识关联的预定类型的信息的数目小于预设数目阈值时，向服务器发送推荐请求。
在其中一个实施例中，与第一用户标识关联的预定类型的信息的数目为在与第一用户标识关联的预定类型的信息有更新时统计的与第一用户标识关联的预定类型的信息的数目。
也就是说，一旦与第一用户标识关联的预定类型的信息有更新，则重新统计与第一用户标识关联的预定类型的信息的数目，确保与第一用户标识关联的预定类型的信息的数目是及时和准确的。
在一个实施例中，推荐响应还包括待推荐信息对应的第一信息标识。
接收服务器返回的推荐响应的步骤之后还包括：
获取与第一用户标识关联的预定类型的信息以及对应的第二信息标识；
将第一信息标识中与第二信息标识不相同的标识对应的信息添加到本地。
由于服务器发送过来的待推荐信息是未经过去重过滤的，终端接收的待推荐信息有可能和与第一用户标识关联的预定类型的信息有重复，因此，可以只需要对本地没有的信息进行存储，以避免信息的重复。
在一个实施例中，在更新待推荐信息之后，还包括：
根据更新后的待推荐信息，更新与第一用户标识关联的预定类型的信息。
终端获得更新后的待推荐信息之后，将其更新到与第一用户标识关联的预定类型的信息，从而，与第一用户标识关联的预定类型的信息会增加，便于用户后续进行预定类型的信息的选择。
在其中一个实施例中，接收服务器返回的推荐响应的步骤之前，还包括步骤：
监测第一用户标识对应的终端自身是否连网；
若是，则进入接收服务器返回的推荐响应的步骤。
为了确保信息接收的顺畅，终端还需进行连网检测，具体地，监测第一用户标识对应的终端自身是否连接WiFi(Wireless-Fidelity，无线保真)网络。
在一个实施例中，还提供了一种计算机设备，该计算机设备的内部结构可如图2所示，该计算机设备中设置有确定推荐信息的装置或信息推荐装置，装置中包括各个模块，每个模块可以全部或部分通过软件、硬件或其组合来实现。
在一个实施例中，提供一种确定推荐信息的装置，该装置可设置在服务器上，如图6所示，该装置包括：消息记录获取模块610、信息的发送次数确定模块620和推荐信息确定模块630。
其中，消息记录获取模块610，用于获取第一用户标识以及与第一用户标识关联的消息记录；
信息的发送次数确定模块620，用于获取根据统计的消息记录中发送方为第一用户标识之外的各第二用户标识分别发送的预定类型的各信息的第一发送次数，确定的预定类型的各信息分别对应的第二发送次数；
其中，第二发送次数为预定类型的各所述信息分别对应的总发送次数。
推荐信息确定模块630，用于将第二发送次数最大的预定数目个信息作为与第一用户标识关联的待推荐信息。
上述确定推荐信息的装置，获取第一用户标识以及与第一用户标识关联的消息记录；获取根据统计消息记录中发送方为第一用户标识之外的第二用户标识发送的预定类型的各信息的第一发送次数，确定的预定类型的各信息的发送次数；将第二发送次数最大的预定数目个信息作为与第一用户标识关联的待推荐信息。通过上述确定推荐信息的装置，可获取到消息记录中统计的发送方为第一用户标识之外的第二用户标识发送的预定类型的各信息的第一发送次数，且发送次数最大的预定数目个信息能准确反映出与第二用户标识对应的用户发送频次较高的信息，也就反映出第二用户标识对应的用户常发送的信息，将第二发送次数最大的预定数目个信息作为待推荐信息，也就是以与第一用户标识关联的消息记录中发送方为第二用户标识对应的信息发送情况为依据进行待推荐信息的确定，使得确定的待推荐信息与第一用户标识更加匹配，提高待推荐信息的准确度，使待推荐信息能有针对性地准确反映出第一用户标识对应的用户想要的信息，从而使用户在后续进行信息选择时提高用户选择信息效率。
在其中一个实施例中，推荐信息确定模块630，在消息记录中预定类型的各信息的数目大于预定数目时，将第二发送次数最大的预定数目个信息作为与第一用户标识关联的待推荐信息，否则，将预定类型的各信息确定为待推荐信息。
在其中一个实施例中，消息记录获取模块610还用于间隔第一预设时间段后，重新获取与第一用户标识关联的消息记录。
在其中一个实施例中，第一发送次数为消息记录中最近第二预设时间段内发送方为各第二用户标识分别发送的预定类型的各信息的发送次数。
在一个实施例中，上述确定推荐信息的装置还包括：
标识获取模块，用于获取各待推荐信息对应的第一信息标识以及获取与第一用户标识关联的预定类型的信息以及对应的第二信息标识；
过滤模块，用于将第一信息标识中与第二信息标识相同的标识对应的信息过滤，更新待推荐信息。
在一个实施例中，提供一种信息推荐装置，该装置可设置在服务器上，如图7所示，包括上述确定推荐信息的装置以及推送模块640。
推送模块640，用于在接收到终端发送的携带第一用户标识的推荐请求时，将确定推荐信息的装置确定的与第一用户标识关联的待推荐信息向第一用户标识对应的终端推送。
上述信息推荐装置，根据上述确定推荐信息的方法将第二发送次数最大的预定数目个信息作为与第一用户标识关联的待推荐信息；当接收到终端发送的携带第一用户标识的推荐请求时，向第一用户标识对应的终端推送待推荐信息。通过上述确定推荐信息的装置将第二发送次数最大的预定数目个信息作为与第一用户标识关联的待推荐信息与第一用户标识更加匹配，提高待推荐信息的准确度，从而当接收到终端发送的携带第一用户标识的推荐请求时，向第一用户标识对应的终端推送待推荐信息，使向终端推送的待推荐信息能有针对性地准确反映出第一用户标识对应的用户想要的信息，使用户在后续进行信息选择时提高用户选择信息效率。
在一个实施例中，还提供一种信息推荐装置，该装置可设置在终端，如图8所示，包括：
推荐请求发送模块810，用于向服务器发送推荐请求，推荐请求包括自身的第一用户标识；
推荐响应接收模块820，用于接收服务器返回的推荐响应，推荐响应包括与第一用户标识关联的待推荐信息，待推荐信息包括：与第一用户标识关联的消息记录中、统计的发送方为第一用户标识之外的第二用户标识发送的、信息的第二发送次数最大的预定数目个预定类型的各信息。其中，第二发送次数为预定类型的各信息分别对应的第二发送次数。
上述信息推荐装置，向服务器发送推荐请求，推荐请求包括自身的第一用户标识；接收服务器返回的推荐响应，推荐响应包括与第一用户标识关联的待推荐信息。由于接收的待推荐信息中包括与第一用户标识关联的消息记录中、统计的发送方为第一用户标识之外的第二用户标识发送的、发送次数 最大的预定数目个预定类型的各信息，能准确反映出第二用户标识对应的用户常发送的信息，是以与第一用户标识关联的消息记录中发送方为第二用户标识对应的信息发送情况为依据确定的待推荐信息，从而接收的待推荐信息与第一用户标识更加匹配，提高待推荐信息的准确度，待推荐信息能有针对性地准确反映出第一用户标识对应的用户想要的信息，从而使用户在后续进行信息选择时提高用户选择信息效率。
在其中一个实施例中，推荐请求发送模块810在与第一用户标识关联的预定类型的信息的数目小于预设数目阈值时，向服务器发送推荐请求。
在其中一个实施例中，与第一用户标识关联的预定类型的信息的数目为在与第一用户标识关联的预定类型的信息有更新时统计的与第一用户标识关联的预定类型的信息的数目。
在一个实施例中，推荐响应还包括待推荐信息对应的第一信息标识。
上述信息推荐装置还包括：
信息标识获取模块，用于获取与第一用户标识关联的预定类型的信息以及对应的第二信息标识；
更新模块，用于将第一信息标识中与第二信息标识不相同的标识对应的信息添加到本地。
由于服务器发送过来的待推荐信息是未经过去重过滤的，终端接收的待推荐信息有可能和与第一用户标识关联的预定类型的信息有重复，因此，可以只需要对本地没有的信息进行存储，以避免信息的重复。
在一个实施例中，上述信息推荐装置还包括：
预定类型的信息更新模块，用于根据更新后的待推荐信息，更新与第一用户标识关联的预定类型的信息。
在其中一个实施例中，推荐响应接收模块还用于监测第一用户标识对应的终端自身是否连网，若是，再接收服务器返回的推荐响应。
本申请的一个实施例中，还提供一种计算机设备，包括存储器和处理器，存储器中存储有计算机程序，计算机程序被处理器执行时，使得处理器执行 如下步骤：获取第一用户标识以及与第一用户标识关联的消息记录；获取根据统计的消息记录中发送方为第一用户标识之外的各第二用户标识分别发送的预定类型的各信息的第一发送次数，确定的预定类型的各信息分别对应的第二发送次数；将第二发送次数最大的预定数目个信息作为与第一用户标识关联的待推荐信息。其中，第二发送次数为总发送次数。
在一个实施例中，处理器还执行步骤：在消息记录中预定类型的各信息的数目大于预定数目时，则进入将第二发送次数最大的预定数目个信息作为与第一用户标识关联的待推荐信息的步骤；否则，将预定类型的各信息确定为待推荐信息。
在一个实施例中，处理器还可执行步骤：间隔第一预设时间段后，返回获取第一用户标识以及与第一用户标识关联的消息记录的步骤，重新确定与第一用户标识关联的待推荐信息。
在一个实施例中，第一发送次数为消息记录中最近第二预设时间段内发送方为各第二用户标识分别发送的预定类型的各信息的发送次数。
在一个实施例中，处理器执行将第二发送次数最大的预定数目个信息作为与第一用户标识关联的待推荐信息的步骤之后还执行步骤：获取各待推荐信息对应的第一信息标识；获取与第一用户标识关联的预定类型的信息以及各信息对应的第二信息标识；将第一信息标识中与第二信息标识相同的标识对应的信息过滤，更新待推荐信息。
在一个实施例中，提供一种计算机设备，包括存储器和处理器，存储器中存储有计算机程序，计算机程序被处理器执行时，使得处理器执行如下步骤：
获取与所述第一用户标识关联的待推荐信息；其中，所述待推荐信息通过获取第一用户标识以及与所述第一用户标识关联的消息记录；获取根据统计的所述消息记录中发送方为所述第一用户标识之外的各第二用户标识分别发送的预定类型的各信息的第一发送次数，确定的所述预定类型的各所述信息分别对应的第二发送次数；将第二发送次数最大的预定数目个所述信息作 为与所述第一用户标识关联的待推荐信息的过程确定；
当接收到终端发送的携带所述第一用户标识的推荐请求时，向所述第一用户标识对应的所述终端推送所述待推荐信息。
在一个实施例中，在确定待推荐信息中，在所述消息记录中预定类型的各所述信息的数目大于所述预定数目时，则将所述将第二发送次数最大的预定数目个所述信息作为与所述第一用户标识关联的待推荐信息；否则，将所述预定类型的各所述信息确定为所述待推荐信息。
在一个实施例中，在确定待推荐信息中，间隔第一预设时间段后，返回所述获取第一用户标识以及与所述第一用户标识关联的消息记录的步骤，重新确定与所述第一用户标识关联的待推荐信息。
在一个实施例中，所述第一发送次数为所述消息记录中最近第二预设时间段内发送方为各所述第二用户标识分别发送的预定类型的各信息的发送次数。
在一个实施例中，提供一种计算机设备，包括存储器和处理器，存储器中存储有计算机程序，计算机程序被处理器执行时，使得处理器执行如下步骤：向服务器发送推荐请求，推荐请求包括自身的第一用户标识；接收服务器返回的推荐响应，推荐响应包括与第一用户标识关联的待推荐信息，待推荐信息包括：与第一用户标识关联的消息记录中、统计的发送方为第一用户标识之外的第二用户标识发送的、信息的第二发送次数最大的预定数目个预定类型的各信息。其中，第二发送次数为预定类型的各信息分别对应的总发送次数。
在一个实施例中，处理器还可执行：在与第一用户标识关联的预定类型的信息的数目小于预设数目阈值时，进入向服务器发送推荐请求的步骤。
在一个实施例中，与第一用户标识关联的预定类型的信息的数目为在与第一用户标识关联的预定类型的信息有更新时统计的与第一用户标识关联的预定类型的信息的数目。
在一个实施例中，上述推荐响应还包括待推荐信息对应的第一信息标识。
处理器执行接收服务器返回的推荐响应的步骤之后还执行步骤：获取与第一用户标识关联的预定类型的信息以及对应的第二信息标识；将第一信息标识中与第二信息标识不相同的标识对应的信息添加到本地。
在一个实施例中，处理器在接收到更新后的待推荐信息之后，还执行步骤：根据更新后的待推荐信息，更新与第一用户标识关联的预定类型的信息。
在一个实施例中，处理器在执行接收服务器返回的推荐响应的步骤之前，还执行步骤：监测第一用户标识对应的终端自身是否连网；若是，则进入接收服务器返回的推荐响应的步骤。
应该理解的是，虽然本申请各实施例中的各个步骤并不是必然按照步骤标号指示的顺序依次执行。除非本文中有明确的说明，这些步骤的执行并没有严格的顺序限制，这些步骤可以以其它的顺序执行。而且，各实施例中至少一部分步骤可以包括多个子步骤或者多个阶段，这些子步骤或者阶段并不必然是在同一时刻执行完成，而是可以在不同的时刻执行，这些子步骤或者阶段的执行顺序也不必然是依次进行，而是可以与其它步骤或者其它步骤的子步骤或者阶段的至少一部分轮流或者交替地执行。
本领域普通技术人员可以理解实现上述实施例方法中的全部或部分流程，是可以通过计算机程序来指令相关的硬件来完成，该计算机程序可存储于一非易失性计算机可读取存储介质中，该计算机程序在执行时，可包括如上述各方法的实施例的流程。其中，本申请所提供的各实施例中所使用的对存储器、存储、数据库或其它介质的任何引用，均可包括非易失性和/或易失性存储器。非易失性存储器可包括只读存储器(ROM)、可编程ROM(PROM)、电可编程ROM(EPROM)、电可擦除可编程ROM(EEPROM)或闪存。易失性存储器可包括随机存取存储器(RAM)或者外部高速缓冲存储器。作为说明而非局限，RAM以多种形式可得，诸如静态RAM(SRAM)、动态RAM(DRAM)、同步DRAM(SDRAM)、双数据率SDRAM(DDRSDRAM)、增强型SDRAM(ESDRAM)、同步链路(Synchlink)DRAM(SLDRAM)、存储器总线(Rambus)直接RAM(RDRAM)、直接存储器总线动态RAM (DRDRAM)、以及存储器总线动态RAM(RDRAM)等。
以上实施例的各技术特征可以进行任意的组合，为使描述简洁，未对上述实施例中的各个技术特征所有可能的组合都进行描述，然而，只要这些技术特征的组合不存在矛盾，都应当认为是本说明书记载的范围。
以上实施例仅表达了本申请的几种实施方式，其描述较为具体和详细，但并不能因此而理解为对本申请专利范围的限制。应当指出的是，对于本领域的普通技术人员来说，在不脱离本申请构思的前提下，还可以做出若干变形和改进，这些都属于本申请的保护范围。因此，本申请专利的保护范围应以所附权利要求为准。

Claims (30)

  1. 一种确定推荐信息的方法，其特征在于，应用于服务器，包括以下步骤：
    获取第一用户标识以及与所述第一用户标识关联的消息记录；
    获取根据统计的所述消息记录中发送方为所述第一用户标识之外的各第二用户标识分别发送的预定类型的各信息的第一发送次数，确定的所述预定类型的各所述信息分别对应的第二发送次数；所述第二发送次数为总发送次数；
    将第二发送次数最大的预定数目个所述信息作为与所述第一用户标识关联的待推荐信息。
  2. 根据权利要求1所述的确定推荐信息的方法，其特征在于：
    在所述消息记录中预定类型的各所述信息的数目大于所述预定数目时，则进入所述将第二发送次数最大的预定数目个所述信息作为与所述第一用户标识关联的待推荐信息的步骤；否则，将所述预定类型的各所述信息确定为所述待推荐信息。
  3. 根据权利要求1所述的确定推荐信息的方法，其特征在于，还包括步骤：间隔第一预设时间段后，返回所述获取第一用户标识以及与所述第一用户标识关联的消息记录的步骤，重新确定与所述第一用户标识关联的待推荐信息。
  4. 根据权利要求1或3所述的确定推荐信息的方法，其特征在于，所述第一发送次数为所述消息记录中最近第二预设时间段内发送方为各所述第二用户标识分别发送的预定类型的各信息的发送次数。
  5. 一种信息推荐方法，其特征在于，应用于服务器，包括以下步骤：
    获取与第一用户标识关联的待推荐信息；其中，所述待推荐信息通过获取第一用户标识以及与所述第一用户标识关联的消息记录；获取根据统计的所述消息记录中发送方为所述第一用户标识之外的各第二用户标识分别发送的预定类型的各信息的第一发送次数，确定的所述预定类型的各所述信息分 别对应的第二发送次数；将第二发送次数最大的预定数目个所述信息作为与所述第一用户标识关联的待推荐信息的过程确定；
    当接收到终端发送的携带所述第一用户标识的推荐请求时，向所述第一用户标识对应的所述终端推送所述待推荐信息。
  6. 根据权利要求5所述的信息推荐方法，其特征在于，在确定待推荐信息中，在所述消息记录中预定类型的各所述信息的数目大于所述预定数目时，则将所述将第二发送次数最大的预定数目个所述信息作为与所述第一用户标识关联的待推荐信息；否则，将所述预定类型的各所述信息确定为所述待推荐信息。
  7. 根据权利要求5所述的信息推荐方法，其特征在于，在确定待推荐信息中，间隔第一预设时间段后，返回所述获取第一用户标识以及与所述第一用户标识关联的消息记录的步骤，重新确定与所述第一用户标识关联的待推荐信息。
  8. 根据权利要求5或7所述的信息推荐方法，其特征在于，所述第一发送次数为所述消息记录中最近第二预设时间段内发送方为各所述第二用户标识分别发送的预定类型的各信息的发送次数。
  9. 一种信息推荐方法，其特征在于，应用于终端，包括以下步骤：
    向服务器发送推荐请求，所述推荐请求包括自身的第一用户标识；
    接收所述服务器返回的推荐响应，所述推荐响应包括与所述第一用户标识关联的待推荐信息，所述待推荐信息包括：与所述第一用户标识关联的消息记录中、统计的发送方为所述第一用户标识之外的第二用户标识发送的、信息的第二发送次数最大的预定数目个预定类型的各所述信息；
    其中，所述第二发送次数为所述预定类型的各信息分别对应的总发送次数。
  10. 根据权利要求9所述的信息推荐方法，其特征在于：
    在与所述第一用户标识关联的预定类型的信息的数目小于预设数目阈值时，进入所述向服务器发送推荐请求的步骤。
  11. 一种计算机设备，包括存储器和处理器，所述存储器中存储有计算机程序，其特征在于，所述计算机程序被所述处理器执行时，使得所述处理器执行如下步骤：
    获取第一用户标识以及与所述第一用户标识关联的消息记录；
    获取根据统计的所述消息记录中发送方为所述第一用户标识之外的各第二用户标识分别发送的预定类型的各信息的第一发送次数，确定的所述预定类型的各所述信息分别对应的第二发送次数；所述第二发送次数为总发送次数；
    将第二发送次数最大的预定数目个所述信息作为与所述第一用户标识关联的待推荐信息。
  12. 根据权利要求11所述的计算机设备，其特征在于，所述处理器还执行步骤：在所述消息记录中预定类型的各所述信息的数目大于所述预定数目时，则进入所述将第二发送次数最大的预定数目个所述信息作为与所述第一用户标识关联的待推荐信息的步骤；否则，将所述预定类型的各所述信息确定为所述待推荐信息。
  13. 根据权利要求11所述的计算机设备，其特征在于，处理器还可执行步骤：间隔第一预设时间段后，返回所述获取第一用户标识以及与所述第一用户标识关联的消息记录的步骤，重新确定与所述第一用户标识关联的待推荐信息。
  14. 根据权利要求11或13所述的计算机设备，其特征在于，所述第一发送次数为所述消息记录中最近第二预设时间段内发送方为各所述第二用户标识分别发送的预定类型的各信息的发送次数。
  15. 一种计算机设备，包括存储器和处理器，存储器中存储有计算机程序，计算机程序被处理器执行时，使得处理器执行如下步骤：
    获取与所述第一用户标识关联的待推荐信息；其中，所述待推荐信息通过获取第一用户标识以及与所述第一用户标识关联的消息记录；获取根据统计的所述消息记录中发送方为所述第一用户标识之外的各第二用户标识分别 发送的预定类型的各信息的第一发送次数，确定的所述预定类型的各所述信息分别对应的第二发送次数；将第二发送次数最大的预定数目个所述信息作为与所述第一用户标识关联的待推荐信息的过程确定；
    当接收到终端发送的携带所述第一用户标识的推荐请求时，向所述第一用户标识对应的所述终端推送所述待推荐信息。
  16. 根据权利要求15所述的计算机设备，其特征在于，在确定待推荐信息中，在所述消息记录中预定类型的各所述信息的数目大于所述预定数目时，则将所述将第二发送次数最大的预定数目个所述信息作为与所述第一用户标识关联的待推荐信息；否则，将所述预定类型的各所述信息确定为所述待推荐信息。
  17. 根据权利要求15所述的计算机设备，其特征在于，在确定待推荐信息中，间隔第一预设时间段后，返回所述获取第一用户标识以及与所述第一用户标识关联的消息记录的步骤，重新确定与所述第一用户标识关联的待推荐信息。
  18. 根据权利要求15或17所述的计算机设备，其特征在于，所述第一发送次数为所述消息记录中最近第二预设时间段内发送方为各所述第二用户标识分别发送的预定类型的各信息的发送次数。
  19. 一种计算机设备，包括存储器和处理器，存储器中存储有计算机程序，计算机程序被处理器执行时，使得处理器执行如下步骤：
    向服务器发送推荐请求，所述推荐请求包括自身的第一用户标识；
    接收所述服务器返回的推荐响应，所述推荐响应包括与所述第一用户标识关联的待推荐信息，所述待推荐信息包括：与所述第一用户标识关联的消息记录中、统计的发送方为所述第一用户标识之外的第二用户标识发送的、信息的第二发送次数最大的预定数目个预定类型的各所述信息；
    其中，所述第二发送次数为所述预定类型的各信息分别对应的总发送次数。
  20. 根据权利要求19所述的计算机设备，其特征在于，处理器还可执行： 在与所述第一用户标识关联的预定类型的信息的数目小于预设数目阈值时，进入所述向服务器发送推荐请求的步骤。
  21. 一个或多个存储有计算机可读指令的非易失性存储介质，其特征在于，所述计算机可读指令被一个或多个处理器执行时，使得一个或多个处理器执行如下步骤：
    获取第一用户标识以及与所述第一用户标识关联的消息记录；
    获取根据统计的所述消息记录中发送方为所述第一用户标识之外的各第二用户标识分别发送的预定类型的各信息的第一发送次数，确定的所述预定类型的各所述信息分别对应的第二发送次数；所述第二发送次数为总发送次数；
    将第二发送次数最大的预定数目个所述信息作为与所述第一用户标识关联的待推荐信息。
  22. 根据权利要求21所述的存储介质，其特征在于，所述处理器还执行步骤：在所述消息记录中预定类型的各所述信息的数目大于所述预定数目时，则进入所述将第二发送次数最大的预定数目个所述信息作为与所述第一用户标识关联的待推荐信息的步骤；否则，将所述预定类型的各所述信息确定为所述待推荐信息。
  23. 根据权利要求21所述的存储介质，其特征在于，处理器还可执行步骤：间隔第一预设时间段后，返回所述获取第一用户标识以及与所述第一用户标识关联的消息记录的步骤，重新确定与所述第一用户标识关联的待推荐信息。
  24. 根据权利要求21或23所述的存储介质，其特征在于，所述第一发送次数为所述消息记录中最近第二预设时间段内发送方为各所述第二用户标识分别发送的预定类型的各信息的发送次数。
  25. 一个或多个存储有计算机可读指令的非易失性存储介质，其特征在于，所述计算机可读指令被一个或多个处理器执行时，使得一个或多个处理器执行如下步骤：
    获取与所述第一用户标识关联的待推荐信息；其中，所述待推荐信息通过获取第一用户标识以及与所述第一用户标识关联的消息记录；获取根据统计的所述消息记录中发送方为所述第一用户标识之外的各第二用户标识分别发送的预定类型的各信息的第一发送次数，确定的所述预定类型的各所述信息分别对应的第二发送次数；将第二发送次数最大的预定数目个所述信息作为与所述第一用户标识关联的待推荐信息的过程确定；
    当接收到终端发送的携带所述第一用户标识的推荐请求时，向所述第一用户标识对应的所述终端推送所述待推荐信息。
  26. 根据权利要求25所述的存储介质，其特征在于，在确定待推荐信息中，在所述消息记录中预定类型的各所述信息的数目大于所述预定数目时，则将所述将第二发送次数最大的预定数目个所述信息作为与所述第一用户标识关联的待推荐信息；否则，将所述预定类型的各所述信息确定为所述待推荐信息。
  27. 根据权利要求25所述的存储介质，其特征在于，在确定待推荐信息中，间隔第一预设时间段后，返回所述获取第一用户标识以及与所述第一用户标识关联的消息记录的步骤，重新确定与所述第一用户标识关联的待推荐信息。
  28. 根据权利要求25或27所述的存储介质，其特征在于，所述第一发送次数为所述消息记录中最近第二预设时间段内发送方为各所述第二用户标识分别发送的预定类型的各信息的发送次数。
  29. 一个或多个存储有计算机可读指令的非易失性存储介质，其特征在于，所述计算机可读指令被一个或多个处理器执行时，使得一个或多个处理器执行如下步骤：
    向服务器发送推荐请求，所述推荐请求包括自身的第一用户标识；
    接收所述服务器返回的推荐响应，所述推荐响应包括与所述第一用户标识关联的待推荐信息，所述待推荐信息包括：与所述第一用户标识关联的消息记录中、统计的发送方为所述第一用户标识之外的第二用户标识发送的、 信息的第二发送次数最大的预定数目个预定类型的各所述信息；
    其中，所述第二发送次数为所述预定类型的各信息分别对应的总发送次数。
  30. 根据权利要求29所述的存储介质，其特征在于，处理器还可执行：在与所述第一用户标识关联的预定类型的信息的数目小于预设数目阈值时，进入所述向服务器发送推荐请求的步骤。
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