WO2017113840A1 - 一种信息推荐方法及装置 - Google Patents

一种信息推荐方法及装置 Download PDF

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Publication number
WO2017113840A1
WO2017113840A1 PCT/CN2016/096980 CN2016096980W WO2017113840A1 WO 2017113840 A1 WO2017113840 A1 WO 2017113840A1 CN 2016096980 W CN2016096980 W CN 2016096980W WO 2017113840 A1 WO2017113840 A1 WO 2017113840A1
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WIPO (PCT)
Prior art keywords
information
category identifier
server
identifier
specified operation
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Ceased
Application number
PCT/CN2016/096980
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English (en)
French (fr)
Inventor
聂超
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Le Holdings Beijing Co Ltd
Lemobile Information Technology (Beijing) Co Ltd
Original Assignee
Le Holdings Beijing Co Ltd
Lemobile Information Technology (Beijing) Co Ltd
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Publication of WO2017113840A1 publication Critical patent/WO2017113840A1/zh
Anticipated expiration legal-status Critical
Ceased legal-status Critical Current

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    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04M—TELEPHONIC COMMUNICATION
    • H04M1/00—Substation equipment, e.g. for use by subscribers
    • H04M1/72—Mobile telephones; Cordless telephones, i.e. devices for establishing wireless links to base stations without route selection
    • H04M1/724—User interfaces specially adapted for cordless or mobile telephones
    • H04M1/72403—User interfaces specially adapted for cordless or mobile telephones with means for local support of applications that increase the functionality
    • H04M1/72406—User interfaces specially adapted for cordless or mobile telephones with means for local support of applications that increase the functionality by software upgrading or downloading
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; 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
    • G06F16/44—Browsing; Visualisation therefor
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; 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
    • 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
    • H04L67/02—Protocols based on web technology, e.g. hypertext transfer protocol [HTTP]
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04M—TELEPHONIC COMMUNICATION
    • H04M1/00—Substation equipment, e.g. for use by subscribers
    • H04M1/72—Mobile telephones; Cordless telephones, i.e. devices for establishing wireless links to base stations without route selection
    • H04M1/724—User interfaces specially adapted for cordless or mobile telephones
    • H04M1/72403—User interfaces specially adapted for cordless or mobile telephones with means for local support of applications that increase the functionality

Definitions

  • the present application relates to the field of push information processing technologies, and in particular, to an information recommendation method and apparatus.
  • a mobile phone browser is more than just a tool for browsing a webpage, and it plays a more and more role in various information portals.
  • the mainstream mobile browsers on the market have also customized their own homepages. Based on the homepage, mobile browsers can provide users with simple URL navigation, or recommend news, videos and novels, etc., so that users have more convenient and quick access to information. Channel.
  • the existing video information recommendation scheme mainly recommends the user directly on the homepage.
  • Popular video information The problem with the recommendation method of the information is that the recommended information is likely to not meet the user's preference, so that the user still sends a video information query request for the specified video information to the server, so the server processing pressure is still large.
  • the embodiment of the present invention provides an information recommendation method and device, which are used to solve the problem that the server processing pressure is still large in the prior art information recommendation method.
  • an embodiment of the present application provides a method for recommending information, including:
  • the receiving server identifies the recommended information with the category identifier according to the category identifier.
  • the embodiment of the present application provides a method for recommending information, including:
  • an information recommendation apparatus including:
  • An identifier determining unit configured to determine a category identifier of information on which the specified operation is performed
  • An identifier sending unit configured to send the category identifier determined by the identifier determining unit to the server;
  • the recommendation information receiving unit is configured to receive information that is recommended by the server according to the category identifier sent by the identifier sending unit and that has the category identifier.
  • the embodiment of the present application further provides an information recommendation apparatus, including:
  • An identifier receiving unit configured to receive a category identifier of information sent by the user terminal and performed by the specified operation
  • the recommendation information sending unit is configured to send information that includes the category identifier to the user terminal.
  • the embodiment of the present application provides an electronic device, including the information recommendation device according to any one of the foregoing third aspects.
  • the embodiment of the present application provides a non-transitory computer readable storage medium, wherein the non-transitory computer readable storage medium can store computer instructions, which can implement the information provided by the first aspect of the present application. Some or all of the steps in each implementation of the method are recommended.
  • An embodiment of the present application provides an electronic device, including: one or more processors; and a memory; wherein the memory stores instructions executable by the one or more processors, the instructions being set to A method for recommending information for performing any of the embodiments of the first aspect of the present application.
  • An embodiment of the present application provides a computer program product, the computer program product comprising a computer program stored on a non-transitory computer readable storage medium, the computer program comprising program instructions, when the program instructions are executed by a computer, The computer is caused to perform any of the information recommendation methods of the first aspect of the present application.
  • the embodiment of the present application provides an electronic device, including the information recommendation device according to any one of the foregoing fourth aspects.
  • An embodiment of the present application provides a non-transitory computer readable storage medium, wherein the non-transitory computer
  • the readable storage medium may store computer instructions, which may implement some or all of the implementation steps of the information recommendation method provided by the embodiment of the second aspect of the present application.
  • An embodiment of the present application provides an electronic device, including: one or more processors; and a memory; wherein the memory stores instructions executable by the one or more processors, the instructions being set to An information recommendation method for performing any one of the embodiments of the second aspect of the present application.
  • An embodiment of the present application provides a computer program product, the computer program product comprising a computer program stored on a non-transitory computer readable storage medium, the computer program comprising program instructions, when the program instructions are executed by a computer, The computer is caused to perform any of the information recommendation methods of the second aspect of the present application.
  • the information recommendation method and device provided by the embodiment of the present application may reflect the user's preference for the information to a certain extent, so that the user may be recommended to meet the user's preference and avoid the user.
  • the information query request for the specified information is sent to the server, so that the server processing pressure can be greatly reduced compared to the prior art.
  • FIG. 1 is a flowchart of a method for recommending information according to an embodiment of the present application
  • FIG. 1b is a schematic diagram showing information of a video file recommended by default in the embodiment of the present application.
  • FIG. 1c is a schematic diagram of a poster of a popular variety video displayed by a video playing APP according to an embodiment of the present application
  • FIG. 2 is a flowchart of a method for recommending information according to an embodiment of the present application
  • FIG. 3 is a flowchart of a method for recommending favorite video information for a user terminal according to an embodiment of the present application
  • FIG. 4 is a device diagram of an information recommendation apparatus according to an embodiment of the present application.
  • FIG. 5 is a device diagram of an information recommendation apparatus according to an embodiment of the present application.
  • FIG. 6 is a schematic structural diagram of an electronic device according to an embodiment of the present disclosure.
  • FIG. 7 is a schematic structural diagram of another electronic device according to an embodiment of the present disclosure.
  • Embodiment 1 provides an information recommendation method for solving the problem that the information processing method of the prior art is such that the server processing pressure is still large.
  • the executor of the method may be an application installed on the user terminal, or an operating system of the user terminal, and the like, which is not specifically limited in this embodiment.
  • the method provided by the embodiment of the present application is described below by taking an application (Appl ication, APP) installed on the user terminal as an example.
  • the implementation process of the method is as shown in FIG. 1a, and mainly includes the following steps:
  • step 11 the APP determines the category identifier of the information on which the specified operation is performed.
  • the specified operation includes a click operation or a specific gesture operation, and the like.
  • the specified operations described here can be different for information with different formats.
  • the specified operation of the text information may be copying; for the picture information, the specified operation of the image information may be downloaded from the server to the application local; for video information (such as video files) In the case of a poster), the specified operation of the video information is performed, which can be clicked.
  • the information may be, for example, text information, picture information, video information or audio information, and the like.
  • the information is generally information provided by the server corresponding to the APP; or the information may be information provided by the server corresponding to other APPs to the other APP.
  • the APP may access information of the other APP through an interface opened by other APPs to the APP, and determine a category identifier of information of the other APP that is subjected to the specified operation.
  • the information may be classified according to a preset category classification standard to obtain different types of information. Different categories can be set separately for the information of each category obtained by the division logo.
  • the news can be divided into military news, sports news, entertainment news, financial news and the like; taking the information as a popular site as an example, according to the popular site
  • the content is divided into categories, which can be divided into game websites, shopping websites, video websites, news websites, etc.; taking the information as a video file as an example, according to the content of the video file, the video file can be divided into Variety videos, sports videos, TV drama videos, educational videos and other categories.
  • Each category of information above may have a corresponding category identifier.
  • the category identifier can be set by the server that provides the information.
  • the server also provides the category identifier corresponding to the information when providing the information to the APP.
  • the server may preset some default recommendation information and set the default.
  • the recommendation information and the category identifier for each default recommendation information are sent to the APP.
  • the server may not send the category identifier when sending the non-default recommendation information to the APP, thereby saving certain transmission resources.
  • step 11 may include:
  • the APP receives the default recommendation information sent by the server and the category identifier of the default recommendation information
  • the APP determines the category identifier of the default recommendation information of the specified operation from the received default recommendation information.
  • the server can at least know the category of the default recommendation information for which the specified operation is performed.
  • step 12 the APP sends the category identifier determined by performing step 11 to the server.
  • the server often refers to a server corresponding to the APP.
  • the corresponding server is generally a video resource server, that is, a server that can provide video file resources to the APP.
  • Step 13 The APP receives information recommended by the server according to the category identifier sent by the APP and corresponding to the category identifier.
  • the device may search for information corresponding to the category identifier from the information stored by the server, and send some or all of the found information to the server. APP.
  • the condition for triggering the APP to perform step 13 may be that the APP is started, or the APP receives an information acquisition instruction input by the user, and the like. This embodiment of the present application does not limit this.
  • the APP may also perform the specified operation on the information having the determined category identifier.
  • the number of times is sent to the server.
  • the server may use the category identifier and the number of times as the basis for obtaining the information. For example, the server may determine the maximum number of times from the received times, and obtain information recommended to the APP with the category identifier corresponding to the maximum number of times; for example, the server may determine, from the received times, that the threshold is greater than the preset number of times.
  • the number of times, and the category identifier corresponding to the number of times of the preset number of times threshold is determined, and the information corresponding to the determined category identifier is recommended to the APP. Since the number of times the information is performed by the specified operation can reflect the user's degree of interest in the information, that is, the degree of preference, the information recommendation can be performed more accurately according to the number of times the information is performed by the specified operation, so that the user's favorite information can be more accurately recommended.
  • the category identifier corresponding to the maximum number of times is sent to the server as a basis for information recommendation.
  • the APP may also perform the specified operation.
  • the information of the operation is filtered, and information misinterpreted by the user is filtered out therefrom, thereby providing the category identification of the remaining information of the specified operation to the server.
  • the default recommended video file information pushed by the server to the APP is taken as an example. If the video file information is a poster that is a video file play entry, and the specified operation includes a click, the category identifier of the information that is mishandled by the user is filtered out.
  • the APP may determine, from the video file corresponding to each of the default recommended video file information that is clicked, the local video file whose playback duration is greater than the preset duration threshold. Then, the category identifier of the video file whose play duration in the APP is greater than the preset duration threshold is determined and provided to the server.
  • the category identifier of the information that is sent to the server by the APP does not contain the category identifier of the information that is mishandled, so that the server can better meet the real needs of the user according to the information recommended by the category identifier.
  • the APP may also send the category identifier of each of the default recommended video file information and the corresponding playing duration to the server, and the server may filter the video in the APP local playing time longer than the preset duration threshold according to the above manner.
  • the category identifier of the file may also send the category identifier of each of the default recommended video file information and the corresponding playing duration to the server, and the server may filter the video in the APP local playing time longer than the preset duration threshold according to the above manner.
  • the category identifier of the file may also send the category identifier of each of the default recommended video file information and the corresponding playing duration to the server, and the server may filter the video in the APP local playing time longer than the preset duration threshold according to the above manner.
  • the category identifier of the file may also send the category identifier of each of the default recommended video file information and the corresponding playing duration to the server, and the server may filter the video in the APP local playing time longer than the preset duration threshold according to the above manner.
  • the APP may also determine the number of times the specified operation is performed according to the video file information, and the duration of the corresponding video file being played locally in the APP, to determine the video file information provided to the server.
  • Category identifier For example, the number of times the specified operation is performed is greater than the preset number threshold, and the category identifier of the video file information whose duration is greater than the preset duration threshold is provided to the server.
  • the APP may directly send the video file information to the server for the specified number of operations, and the duration of the corresponding video file being played locally in the APP, and the server filters the number of times the specified operation is performed is greater than a preset number of thresholds, and The category identifier of the video file information whose play duration in the APP is greater than the preset duration threshold.
  • the video playback APP receives the default recommendation information sent by the server.
  • the default recommendation information includes information of video files such as popular serials, popular variety shows, and popular movies, and the information may be presented in the form of a poster in the interface of the video playing APP, as shown in FIG. 1b.
  • the video play application After receiving the click instruction for the poster corresponding to the popular variety video file, the video play application starts to download and play the popular variety video file from the server.
  • the play record of the popular variety video file is saved to the local database of the video play APP.
  • the play record may include the category identifier of the video file being played, and the number of times the video file is played and the duration of the play in the video play APP.
  • the video playback app sends each saved play record to the server.
  • the server After receiving the play record sent by the video play APP, the server determines, according to the play count and the play duration in each play record, from the saved play records, the included play times are greater than the preset play count threshold, and the included play duration A play record that is greater than the preset play duration threshold.
  • a video acquisition request is sent to the server.
  • the video acquisition request may be, for example, a video information request sent by default for obtaining the displayed homepage interface.
  • the server obtains the information of the video file mapped by the category identifier in the determined play record in response to the video acquisition request, and sends the acquired video file information to the video play APP for display.
  • the category identification in the determined play record is the "hot variety" category
  • the poster of the popular variety video displayed by the video play APP can be as shown in FIG. 1c.
  • the user may have a preference for the information to some extent. Therefore, by the above method, the user may be recommended to meet the user's preference and avoid the user.
  • the information query request for the specified information is sent to the server, so that the server processing pressure can be greatly reduced compared to the prior art.
  • Embodiment 2 provides an information recommendation method for solving the problem that the information processing method of the prior art is such that the server processing pressure is still large.
  • the implementation process of the method is shown in FIG. 2, and mainly includes the following steps:
  • Step 21 The server receives the category identifier of the information sent by the user terminal and executed by the specified operation.
  • the user terminal sends the category identifier of the information of the specified operation to the server, which may be that the APP corresponding to the server (such as the client of the server) installed on the user terminal sends the category identifier to the server.
  • the specified operation includes a click operation or a specific gesture operation, and the like.
  • the specified operations described here can be different for information with different formats.
  • the specified operation of the text information may be copying; for the picture information, the specified operation of the image information may be downloaded from the server to the application local; for video information (such as video files) In the case of a poster), the specified operation of the video information is performed, which can be clicked.
  • the information may be, for example, text information, picture information, video information or audio information, and the like.
  • the information is generally provided to the APP by the server corresponding to the APP installed on the user terminal; or the information may be provided by the server corresponding to the APP installed on the user terminal except the APP.
  • Information about other apps For the latter case, the APP may access information of the other APP through an interface opened by other APPs to the APP, and determine a category identifier of information of the other APP that is subjected to the specified operation.
  • the information may be classified according to a preset category classification standard to obtain different types of information. Different category identifiers can be set separately for each category of information obtained by the division.
  • the news can be divided into military news, sports news, entertainment news, financial news and the like; taking the information as a popular site as an example, according to the popular site Content classification, you can divide popular sites into game sites, shopping sites, video sites, news sites, etc.; use the information as a video file as an example, according to the video file
  • the content of the content can be divided into variety video, sports video, TV drama video, educational video and other categories.
  • Each category of information above may have a corresponding category identifier.
  • the category identifier can be set by the server that provides the information.
  • the server may preset some default recommendation information, and The default recommendation information and the category identifier for each default recommendation information are sent to the APP. For the non-default recommendation information, the server may not send the category identifier when sending the non-default recommendation information to the APP, thereby saving certain transmission resources.
  • the method in the second embodiment further includes the server sending default recommendation information to the APP. Then, the server receives the category identifier of the information that is sent by the APP and is performed by the specified operation, and includes the category identifier of the default recommendation information that is sent by the APP and is performed by the specified operation.
  • Step 22 The server sends information to the user terminal that has the category identifier received by performing step 21.
  • the server may search for the mapping and the received information of the category identifier in the information storage space of the server according to the received category identifier and the mapping relationship between the different category identifiers and the corresponding information. Further, the server can send the found information to the APP.
  • the server sends the information of the category identifier received by the step 21 to the user terminal, where the server sends the APP (such as the client of the server) installed on the user terminal to the user terminal with the execution step.
  • the APP may also separately have the information of the identified category identifier.
  • the number of times the specified operation was performed was sent to the server.
  • the server may use the category identifier and the number of times as the basis for obtaining the information. For example, the server may determine the maximum number of times from the received times, and obtain information recommended to the APP with the category identifier corresponding to the maximum number of times; for example, the server may determine, from the received times, that the threshold is greater than the preset number of times.
  • the number of times, and the category identifier corresponding to the number of times of the preset number of times threshold is determined, and the information corresponding to the determined category identifier is recommended to the APP. Since the number of times the information is performed by the specified operation can reflect the user's degree of interest in the information, that is, the degree of preference, therefore, according to the letter The information is recommended by the number of times the specified operation is performed, and the user's favorite information can be more accurately recommended.
  • the category identifier corresponding to the maximum number of times is sent to the server as a basis for information recommendation.
  • the APP may also perform the specified operation.
  • the information of the operation is filtered, from which information misinterpreted by the user is filtered out, thereby providing the category identification of the remaining information on which the execution of the operation is performed to the server.
  • the default recommended video file information pushed by the server to the APP is taken as an example. If the video file information is a poster that is a video file play entry, and the specified operation includes a click, the category identifier of the information that is mishandled by the user is filtered out.
  • the APP may determine, from the video file corresponding to each of the default recommended video file information that is clicked, the local video file whose playback duration is greater than the preset duration threshold, and further determine that the play duration of the APP local is greater than the preset duration threshold.
  • the category identifier of the video file and is provided to the server.
  • the category identifier of the information that is sent to the server by the APP does not contain the category identifier of the information that is mishandled, so that the server can better meet the real needs of the user according to the information recommended by the category identifier.
  • the APP may also send the category identifier of each of the default recommended video file information and the corresponding playing duration to the server, and the server may filter the video in the APP local playing time longer than the preset duration threshold according to the above manner.
  • the category identifier of the file may also send the category identifier of each of the default recommended video file information and the corresponding playing duration to the server, and the server may filter the video in the APP local playing time longer than the preset duration threshold according to the above manner.
  • the category identifier of the file may also send the category identifier of each of the default recommended video file information and the corresponding playing duration to the server, and the server may filter the video in the APP local playing time longer than the preset duration threshold according to the above manner.
  • the category identifier of the file may also send the category identifier of each of the default recommended video file information and the corresponding playing duration to the server, and the server may filter the video in the APP local playing time longer than the preset duration threshold according to the above manner.
  • the APP may also determine the number of times the specified operation is performed according to the video file information, and the duration of the corresponding video file being played locally in the APP, to determine the video file information provided to the server.
  • Category identifier For example, the number of times the specified operation is performed is greater than the preset number threshold, and the category identifier of the video file information whose duration is greater than the preset duration threshold is provided to the server.
  • the APP may directly send the video file information to the server for the specified number of operations, and the duration of the corresponding video file being played locally in the APP, and the server filters the number of times the specified operation is performed is greater than a preset number of thresholds, and The category identifier of the video file information whose play duration in the APP is greater than the preset duration threshold.
  • the user may have a preference for the information to some extent. Therefore, by the above method, the user may be recommended to meet the user's preference information, and the user may be prevented from sending the information query request for the specified information to the server. Therefore, the server processing pressure can be greatly reduced compared to the prior art.
  • the third embodiment introduces a video information recommended by the video resource server to the video playback APP as an example, and introduces a video information that is recommended for the user.
  • the method for solving the problem that the server processing pressure is still large exists in the prior art information recommendation method.
  • the implementation process of the method is shown in FIG. 3, and mainly includes the following steps:
  • Step 31 The server recommends several popular video file information with category identifiers by default, and the video file information is presented in the form of a video file poster in the interface of the video playing APP.
  • Step 32 After receiving the click instruction for the video file poster, the video play APP starts to download and play the corresponding video file from the server, and saves the play record of the video file to the local database of the video play APP.
  • the single play record may include: a play duration and a play count of the video file being played in the video play APP, and a category identifier of the video file.
  • Step 33 The video playback APP records the play record of the video file, and performs: determining whether the play record can be uploaded to the server; if the determination is yes, executing step 34; otherwise, performing step 36.
  • step 33 can be performed to determine whether the play record can be uploaded to the server.
  • the video play APP may determine whether the play count in the play record is greater than a preset play count threshold, and further determine whether the play duration in the play record is greater than a preset play duration threshold, and if the judgment result is yes, It can be determined that the play record is a valid play record, and the server can be uploaded to perform step 34. Otherwise, step 37 can be performed.
  • Step 34 The video play APP uploads the play record uploading server to the server, so that the server determines the category identifier in the play record according to the play record.
  • Step 35 When the video play APP is opened again, a video acquisition request is sent to the server.
  • the video acquisition request may be, for example, a video information request sent by default on the homepage interface of the video play application.
  • Step 36 The server sends the video file information corresponding to the category identifier determined by performing step 34 to the video play APP in response to the video acquisition request. End the process.
  • step 37 the video play APP discards the play record. End the process.
  • the embodiments of the present application do not limit the order of execution of the steps of the foregoing methods.
  • the number is set for each step in order to describe the steps in a structured manner, and the order of the steps is not limited, that is, the number set for each step in the embodiment of the present application cannot be regarded as a limitation step execution.
  • the characteristics of the order are not limited, that is, the number set for each step in the embodiment of the present application cannot be regarded as a limitation step execution. The characteristics of the order.
  • the user clicks on the video information poster recommended by the server by default the user may have a preference for the video information to a certain extent. Therefore, by adopting the above method, it is possible to recommend information that meets the user's preference for the user, and prevent the user from sending an information query request for the specified information to the server, so that the server processing pressure can be greatly reduced compared to the prior art.
  • the non-transitory computer readable storage medium may be a magnetic disk, an optical disk, a read-only memory (ROM), or a random access memory (RAM).
  • Embodiment 4 provides an information recommendation apparatus for solving the problem that the server processing pressure is still large in the prior art information recommendation method.
  • the structure of the device is shown in Figure 4 and includes the following functional units:
  • the identification determining unit 41 is configured to determine a category identification of information on which the specified operation is performed.
  • the identifier sending unit 42 is configured to send the category identifier determined by the identifier determining unit 41 to the server.
  • the recommendation information receiving unit 43 is configured to receive information that is recommended by the server according to the category identifier sent by the identifier sending unit 42 and that has the category identifier.
  • the apparatus may further include a number determining unit and a number sending unit.
  • the number determining unit is configured to determine the number of times that the information having the determined category identifier is respectively performed by the specified operation; and the number of times transmitting unit is configured to send the determined information of each number of times to the server.
  • the recommended information receiving unit 43 may be specifically configured to receive, by the receiving server, the recommended information according to the category identifier and the times of the information. Information about the category identifier.
  • the server may preset some default recommendation information, and The default recommendation information and the category identifier for each default recommendation information are sent to the APP. For the non-default recommendation information, the server may not send the category identifier when sending the non-default recommendation information to the APP, thereby saving certain transmission resources.
  • the identifier determining unit 41 may be specifically configured to: receive default recommendation information sent by the server and a category identifier of the default recommendation information; and determine, from the default recommendation information, default recommendation information that is performed by the specified operation; Determining the category identifier of the default recommendation information for which the specified operation is performed.
  • the identifier determining unit 41 determines the implementation manner of the category identifier of the default recommendation information of the specified operation, which may specifically include: clicking from the click
  • the video file corresponding to each of the default recommended video file information is determined to be a video file whose local playback duration is greater than a preset duration threshold; and the category identifier of the video file whose local playback duration is greater than a preset duration threshold is determined.
  • the user may have a preference for the information to some extent. Therefore, by using the foregoing device provided in the fourth embodiment, the user may be recommended to meet the user preference information, and the user may be prevented from sending the server to the server.
  • the information query request of the information is specified, so that the server processing pressure can be greatly reduced compared to the prior art.
  • An information recommendation device provided in Embodiment 5 is shown in FIG. 5 and includes the following functional units:
  • the identifier receiving unit 51 is configured to receive a category identifier of the information sent by the user terminal and executed by the specified operation.
  • the recommendation information transmitting unit 52 is configured to send information that includes the category identifier to the user terminal.
  • the apparatus may further include: a frequency information receiving unit.
  • the number-of-times information receiving unit is configured to: receive information of the number of times that the information provided by the user terminal and the information of the category identifier is respectively performed by a specified operation.
  • the recommendation information transmitting unit 52 is specifically configured to send, according to the information of the number of times received by the category identifier and the number-of-times information receiving unit, the category to be sent to the user terminal. Identification information.
  • the server may preset some default recommendation information, and The default recommendation information and the category identifier for each default recommendation information are sent to the APP.
  • the server may not send the category identifier when sending the non-default recommendation information to the APP, thereby saving certain transmission resources.
  • the device may further include: an information sending unit, configured to send the default recommendation information and the category identifier of the default recommendation information to the user terminal before the identifier receiving unit 51 receives the category identifier.
  • the identifier receiving unit 51 may be specifically configured to receive a category identifier of the default recommendation information that is sent by the user terminal and is performed by the specified operation.
  • the recommendation information sending unit 52 may be specifically configured to determine, in the video file corresponding to each of the default recommended video file information that is clicked. And determining, by the user terminal, a video file whose playback duration is greater than a preset duration threshold; determining a category identifier of the video file whose local playback duration is greater than a preset duration threshold; and sending, according to the number of times, information to the user terminal Video file information with a defined category ID.
  • the user may have a preference for the information to some extent. Therefore, by using the foregoing apparatus provided in the fifth embodiment, the user may be recommended to meet the user preference information, and the user may be prevented from sending the server to the server.
  • the information query request of the information is specified, so that the server processing pressure can be greatly reduced compared to the prior art.
  • an electronic device including the information recommendation device described in any of the foregoing embodiments.
  • a non-transitory computer readable storage medium stores computer executable instructions that can perform the information recommendation method in any of the method embodiments described in Embodiment 1.
  • FIG. 6 is a schematic structural diagram of hardware of an electronic device for performing the information recommendation method according to Embodiment 1 provided by the embodiment of the present application. As shown in FIG. 6, the device includes:
  • processors 610 and memory 620 one processor 610 is taken as an example in FIG.
  • the apparatus for performing the information recommendation method described in Embodiment 1 may further include: an input device 630 and an output device 640.
  • the processor 610, the memory 620, the input device 630, and the output device 640 may be connected by a bus or other means, as exemplified by a bus connection in FIG.
  • the memory 620 is a non-transitory computer readable storage medium, and can be used to store a non-volatile software program, a non-volatile computer executable program, and a module, such as the program corresponding to the information recommendation method described in Embodiment 1 of the present application.
  • An instruction/module (for example, the identification determining unit 41, the identification transmitting unit 42, and the recommendation information receiving unit 43 shown in FIG. 4).
  • the processor 610 executes various functional applications and data processing of the server by running non-volatile software programs, instructions, and modules stored in the memory 620, that is, implementing the method embodiment information recommendation method described in Embodiment 1.
  • the memory 620 may include a storage program area and a storage data area, wherein the storage program area may store an operating system, an application required for at least one function; the storage data area may be stored according to the use of the information recommendation device according to Embodiment 4 Data, etc.
  • memory 620 can include high speed random access memory, and can also include non-volatile memory, such as at least one magnetic disk storage device, flash memory device, or other non-volatile solid state storage device.
  • memory 620 can optionally include memory remotely located relative to processor 610, which can be connected to the information recommendation device described in embodiment 4 over a network. Examples of such networks include, but are not limited to, the Internet, intranets, local area networks, mobile communication networks, and combinations thereof.
  • the input device 630 can receive the input digital or character information, and generate a key signal input related to user setting and function control of the information recommendation device described in Embodiment 4.
  • the output device 640 can include a display device such as a display screen.
  • the one or more modules are stored in the memory 620, and when executed by the one or more processors 610, perform the information recommendation method in any of the method embodiments described in Embodiment 1.
  • the above product can execute the method provided in Embodiment 1 of the present application, and has a function module corresponding to the execution method. Blocks and benefits. For details of the technical details that are not described in detail in this embodiment, refer to the method provided in Embodiment 1 of the present application.
  • the electronic device of the embodiment of the present application exists in various forms, including but not limited to:
  • Mobile communication devices These devices are characterized by mobile communication functions and are mainly aimed at providing voice and data communication.
  • Such terminals include: smart phones (such as iPhone), multimedia phones, functional phones, and low-end phones.
  • Ultra-mobile personal computer equipment This type of equipment belongs to the category of personal computers, has computing and processing functions, and generally has mobile Internet access.
  • Such terminals include: PDAs, MIDs, and UMPC devices, such as the iPad.
  • Portable entertainment devices These devices can display and play multimedia content. Such devices include: audio, video players (such as iPod), handheld game consoles, e-books, and smart toys and portable car navigation devices.
  • the server consists of a processor, a hard disk, a memory, a system bus, etc.
  • the server is similar to a general-purpose computer architecture, but because of the need to provide highly reliable services, processing power and stability High reliability in terms of reliability, security, scalability, and manageability.
  • an electronic device including the information recommendation device according to any one of the foregoing embodiments.
  • a non-transitory computer readable storage medium is further provided, where the non-transitory computer readable storage medium stores computer executable instructions, which can execute the foregoing Embodiment 2 The information recommendation method in any of the method embodiments described.
  • FIG. 7 is a schematic diagram showing the hardware structure of an electronic device for performing the information recommendation method according to Embodiment 2 provided by the embodiment of the present application. As shown in FIG. 7, the device includes:
  • processors 710 and memory 720 one processor 710 is taken as an example in FIG.
  • the apparatus for performing the information recommendation method described in Embodiment 2 may further include: an input device 730 and an output device 740.
  • the processor 710, the memory 720, the input device 730, and the output device 740 may be through a bus or Other ways of connection, in Figure 7 by way of a bus connection.
  • the memory 720 is used as a non-transitory computer readable storage medium, and can be used for storing a non-volatile software program, a non-volatile computer executable program, and a module, such as the program corresponding to the information recommendation method described in Embodiment 2 of the present application.
  • An instruction/module (for example, the identification receiving unit 51 and the recommendation information transmitting unit 52 shown in FIG. 5).
  • the processor 710 performs various function applications and data processing of the server by executing non-volatile software programs, instructions, and modules stored in the memory 720, that is, implementing the method embodiment information recommendation method described in the second embodiment.
  • the memory 720 may include a storage program area and an storage data area, wherein the storage program area may store an operating system, an application required for at least one function; the storage data area may be stored according to the use of the information recommendation device according to Embodiment 5 Data, etc.
  • memory 720 can include high speed random access memory, and can also include non-volatile memory, such as at least one magnetic disk storage device, flash memory device, or other non-volatile solid state storage device.
  • memory 720 can optionally include memory remotely located relative to processor 710 that can be coupled to the information recommendation device described in embodiment 5 via a network. Examples of such networks include, but are not limited to, the Internet, intranets, local area networks, mobile communication networks, and combinations thereof.
  • the input device 730 can receive the input digital or character information, and generate a key signal input related to user setting and function control of the information recommendation device described in Embodiment 5.
  • the output device 740 can include a display device such as a display screen.
  • the one or more modules are stored in the memory 720, and when executed by the one or more processors 710, perform the information recommendation method in any of the method embodiments described in Embodiment 2.
  • the above product can perform the method provided in Embodiment 2 of the present application, and has the corresponding functional modules and beneficial effects of the execution method.
  • the technical details that are not described in detail in this embodiment, refer to the method provided in Embodiment 2 of the present application.
  • the electronic device of the embodiment of the present application exists in various forms, including but not limited to:
  • Mobile communication devices These devices are characterized by mobile communication functions and are mainly aimed at providing voice and data communication.
  • Such terminals include: smart phones (such as iPhone), multimedia phones, functional phones, and low-end phones.
  • Ultra-mobile personal computer equipment This type of equipment belongs to the category of personal computers, has computing and processing functions, and generally has mobile Internet access.
  • Such terminals include: PDAs, MIDs, and UMPC devices, such as iPad.
  • Portable entertainment devices These devices can display and play multimedia content. Such devices include: audio, video players (such as iPod), handheld game consoles, e-books, and smart toys and portable car navigation devices.
  • the server consists of a processor, a hard disk, a memory, a system bus, etc.
  • the server is similar to a general-purpose computer architecture, but because of the need to provide highly reliable services, processing power and stability High reliability in terms of reliability, security, scalability, and manageability.
  • the device embodiments described above are merely illustrative, wherein the units described as separate components may or may not be physically separate, and the components displayed as units may or may not be physical units, ie may be located A place, or it can be distributed to multiple network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of the embodiment. Those of ordinary skill in the art can understand and implement without deliberate labor.

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Abstract

本申请实施例提供一种信息推荐方法及装置，方法包括：确定被执行指定操作的信息的类别标识；将所述类别标识发送给服务器；接收服务器根据所述类别标识推荐的、具备所述类别标识的信息。本方案可以解决现有技术的信息推荐方法存在的使得服务器处理压力仍然较大的问题。

Description

一种信息推荐方法及装置
本申请要求于2015年12月31日提交中国专利局、申请号为201511032605.X、申请名称为“一种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
本申请涉及推送信息处理技术领域，尤其涉及一种信息推荐方法及装置。
背景技术
现有技术中，手机浏览器已经不仅仅是一个浏览网页的工具，它更多扮演起了各类信息入口的角色。目前市场上主流的手机浏览器也都定制了自己的主页，基于该主页，手机浏览器可以为用户提供简单的网址导航，或者推荐新闻、视频和小说等，使用户有了更加方便快捷获取信息的渠道。
以手机浏览器在主页中向用户推荐视频信息为例，为了减轻用户向服务器发送视频信息查询请求而导致的服务器处理压力，现有的视频信息推荐方案，主要是直接在主页上向用户推荐一些热门视频的信息。该信息推荐方式存在的问题在于：推荐的信息很可能不符合用户的喜好，从而用户仍然会向服务器发送针对指定视频信息的视频信息查询请求，因此服务器处理压力仍然较大。
发明内容
本申请实施例提供一种信息推荐方法及装置，用以解决现有技术的信息推荐方法存在的使得服务器处理压力仍然较大的问题。
第一方面，本申请实施例提供一种信息推荐方法，包括：
确定被执行指定操作的信息的类别标识；
将所述类别标识发送给服务器；
接收服务器根据所述类别标识推荐的、具备所述类别标识的信息。
第二方面，本申请实施例提供一种信息推荐方法，包括：
接收用户终端发送的、被执行指定操作的信息的类别标识；
根据接收到的所述类别标识，向所述用户终端发送具备所述类别标识的信息。
第三方面，本申请实施例提供一种信息推荐装置，包括：
标识确定单元，用于确定被执行指定操作的信息的类别标识；
标识发送单元，用于将标识确定单元确定的所述类别标识发送给服务器；
推荐信息接收单元，用于接收服务器根据标识发送单元发送的所述类别标识推荐的、具备所述类别标识的信息。
第四方面，本申请实施例还提供一种信息推荐装置，包括：
标识接收单元，用于接收用户终端发送的、被执行指定操作的信息的类别标识；
推荐信息发送单元，用于向所述用户终端发送具备所述类别标识的信息。
本申请实施例提供一种电子设备，包括前述第三方面任一实施例所述的信息推荐装置。
本申请实施例提供一种非暂态计算机可读存储介质，其中，该非暂态计算机可读存储介质可存储有计算机指令，该计算机指令执行时可实现本申请第一方面实施例提供的信息推荐方法的各实现方式中的部分或全部步骤。
本申请实施例提供一种电子设备，包括：一个或多个处理器；以及，存储器；其中，所述存储器存储有可被所述一个或多个处理器执行的指令，所述指令被设置为用于执行本申请第一方面实施例任一项信息推荐方法。
本申请实施例提供一种计算机程序产品，所述计算机程序产品包括存储在非暂态计算机可读存储介质上的计算机程序，所述计算机程序包括程序指令，当所述程序指令被计算机执行时，使所述计算机执行本申请第一方面实施例任一项信息推荐方法。
本申请实施例提供一种电子设备，包括前述第四方面任一实施例所述的信息推荐装置。
本申请实施例提供一种非暂态计算机可读存储介质，其中，该非暂态计算机 可读存储介质可存储有计算机指令，该计算机指令执行时可实现本申请第二方面实施例提供的信息推荐方法的各实现方式中的部分或全部步骤。
本申请实施例提供一种电子设备，包括：一个或多个处理器；以及，存储器；其中，所述存储器存储有可被所述一个或多个处理器执行的指令，所述指令被设置为用于执行本申请第二方面实施例任一项信息推荐方法。
本申请实施例提供一种计算机程序产品，所述计算机程序产品包括存储在非暂态计算机可读存储介质上的计算机程序，所述计算机程序包括程序指令，当所述程序指令被计算机执行时，使所述计算机执行本申请第二方面实施例任一项信息推荐方法。
本申请实施例提供的一种信息推荐方法及装置，由于信息被执行的指定操作，可以从一定程度上体现用户对该信息存在喜好倾向，因此可以实现为用户推荐符合用户喜好的信息，避免用户向服务器发送针对指定信息的信息查询请求，从而相比于现有技术而言，可以较大程度地减轻服务器处理压力。
附图说明
为了更清楚地说明本申请实施例或现有技术中的技术方案，下面将对实施例或现有技术描述中所需要使用的附图作一简单地介绍，显而易见地，下面描述中的附图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1a为本申请实施例提供的一种信息推荐方法的流程图；
图1b为本申请实施例中展示默认推荐的视频文件的信息的示意图；
图1c为本申请实施例中视频播放APP展示的热门综艺视频的海报的示意图；
图2为本申请实施例提供的一种信息推荐方法的流程图；
图3为本申请实施例提供的一种为用户终端推荐所喜欢的视频信息的方法的流程图；
图4为本申请实施例提供的一种信息推荐装置的装置图；
图5为本申请实施例提供的一种信息推荐装置的装置图；
图6为本申请实施例提供的一种电子设备的结构示意图；
图7为本申请实施例提供的另一种电子设备的结构示意图。
具体实施方式
为使本申请的目的、技术方案和优点更加清楚，下面将结合本申请实施例中的附图，对本申请实施例中的技术方案进行清楚、完整地描述，显然，所描述的实施例是本申请一部分实施例，而不是全部的实施例。基于本申请中的实施例，本领域普通技术人员在没有作出创造性劳动前提下所获得的所有其他实施例，都属于本申请保护的范围。
实施例1
实施例1提供一种信息推荐方法，用以解决现有技术的信息推荐方法存在的使得服务器处理压力仍然较大的问题。
该方法的执行主体可以是用户终端上安装的应用，或者是用户终端的操作系统，等等，本实施例对此不进行特别限定。为便于描述，下文以该方法的执行主体为用户终端上安装的应用(Appl ication，APP)为例，对本申请实施例提供的该方法进行介绍。
本方法的实现流程如图1a所示，主要包括如下步骤：
步骤11，APP确定被执行指定操作的信息的类别标识。
所述指定操作，包括点击操作或者特定的手势操作，等等。针对具备不同格式的信息而言，这里所说的指定操作可以不同。比如，针对文字信息而言，文字信息被执行的指定操作，可以是复制；针对图片信息而言，图片信息被执行的指定操作，可以是从服务器下载到应用本地；针对视频信息(如视频文件的海报)而言，视频信息被执行的指定操作，可以是被点击。
所述信息，比如可以是文字信息、图片信息、视频信息或音频信息，等等。所述信息，一般为该APP对应的服务器提供的信息；或者，所述信息，也可以是其他APP对应的服务器提供给所述其他APP的信息。针对后一种情况而言，该APP可以通过其他APP向该APP开放的接口，访问所述其他APP的信息，以及确定所述其他APP的被执行指定操作的信息的类别标识。
本申请实施例中，可以根据预设的类别划分标准，对所述信息进行类别划分，得到不同类别的信息。针对划分得到的各类别的信息，可以分别设置不同的类别 标识。以所述信息为新闻为例，按照新闻的内容进行类别划分，可以将新闻划分为军事新闻、体育新闻、娱乐新闻、财经新闻等类别；以所述信息为热门站点为例，按照热门站点的内容进行类别划分，可以将热门站点划分为游戏网站、购物网站、视频网站、新闻网站等类别；以所述信息为视频文件为例，按照视频文件的内容进行类别划分，可以将视频文件划分为综艺视频、体育视频、电视剧视频、教育视频等类别。
上述各类别的信息，均可以具备相应的类别标识。该类别标识，可以由提供该些信息的服务器进行设置。
考虑到为了使得APP能够确定被执行指定操作的信息的类别标识，服务器在向APP提供信息时，还会提供信息对应的类别标识。但若服务器每向APP提供一个信息，均会提供与该信息对应的类别标识，会导致耗费较多的传输资源，因此在一种实施方式中，服务器可以预先设置一些默认推荐信息，并将默认推荐信息和为每个默认推荐信息设置类别标识，均发送给APP。而针对非默认推荐信息，服务器可以在向APP发送非默认推荐信息时不发送类别标识，从而能够节省一定的传输资源。
在上述场景下，步骤11的具体实现方式可以包括：
APP接收服务器发送的默认推荐信息以及所述默认推荐信息的类别标识；
APP从接收到的默认推荐信息中，确定被执行指定操作的默认推荐信息的类别标识。
采用上述实现方式，当默认推荐信息被执行指定操作后，服务器至少能够获知被执行指定操作的默认推荐信息的类别。
步骤12，APP将通过执行步骤11确定的类别标识发送给服务器。
其中，所述服务器，往往是指所述APP对应的服务器。比如，若该APP是视频播放APP，则对应的服务器一般为视频资源服务器，即可以向该APP提供视频文件资源的服务器。
步骤13，APP接收服务器根据APP发送的类别标识推荐的、对应于该类别标识的信息。
针对服务器而言，其在接收到APP发送的类别标识后，可以从服务器存储的信息中，查找对应于该类别标识的信息，并将查找到的部分或全部信息，发送给 APP。
触发APP执行步骤13的条件，可以是在APP被启动，也可以是APP接收到用户输入的信息获取指令，等等。本申请实施例对此不作限定。
考虑到为了让服务器向APP推荐的、对应于该类别标识的信息，与用户的喜好更为匹配，在一种实施方式中，APP还可以将具备确定出的类别标识的信息分别被执行指定操作的次数发送给服务器。服务器在接收到所述次数和APP发送来的类别标识后，可以以类别标识和所述次数作为获取信息的依据。比如，服务器可以从接收到的次数中，确定最大次数，并获取具备该最大次数对应的类别标识的信息推荐给APP；又比如，服务器可以从接收到的次数中，确定大于预设次数阈值的次数，并确定大于预设次数阈值的次数对应的类别标识，进而将确定的类别标识对应的信息推荐给APP。由于信息被执行指定操作的次数多少，可以反映用户对于信息的感兴趣程度，也即喜好程度，因此，按照信息被执行指定操作的次数进行信息推荐，可以更准确地推荐用户喜好的信息。
或者，APP也可以在本地确定出所述最大次数后，与所述最大次数对应的类别标识发送给服务器，作为信息推荐依据。
此外，考虑到用户对信息执行的指定操作，有可能是误操作，而误操作的情况，可能会导致信息推荐的不准确性，因此，在一种实施方式中，APP还可以对被执行指定操作的信息进行过滤，从中滤除被用户误操作的信息，从而将剩余的被执行指定操作的信息的类别标识提供给服务器。
比如，以服务器向APP推送的默认推荐的视频文件信息为例，若视频文件信息为作为视频文件播放入口的海报，所述指定操作包括点击，则为了滤除被用户误操作的信息的类别标识，APP可以从被点击的各默认推荐的视频文件信息分别对应的视频文件中，确定在本地的播放时长大于预设时长阈值的视频文件。进而确定在APP本地的播放时长大于预设时长阈值的视频文件的类别标识，并提供给服务器。采用该方案，可以保证APP发送给服务器的类别标识中，不包含被误操作的信息的类别标识，从而使得服务器根据类别标识推荐的信息更能迎合用户的真实需求。
或者，APP也可以将被点击的各默认推荐的视频文件信息的类别标识，和相应的播放时长发送给服务器，由服务器按照上述类似方式，筛选在APP本地的播放时长大于预设时长阈值的视频文件的类别标识。
针对视频文件信息而言，本申请实施例中，APP也可以根据视频文件信息被执行指定操作的次数，以及相应的视频文件在APP本地被播放的时长，来确定提供给服务器的视频文件信息的类别标识。比如，将被执行指定操作的次数大于预设次数阈值，且相应的时长大于预设时长阈值的视频文件信息的类别标识，提供给服务器。或者，APP也可以直接将视频文件信息被执行指定操作的次数，以及相应的视频文件在APP本地被播放的时长发送给服务器，由服务器来筛选被执行指定操作的次数大于预设次数阈值，且在APP本地的播放时长大于预设时长阈值的视频文件信息的类别标识。
为便于读者直观地获知上述步骤11～步骤13的技术效果，以下以所述信息为视频文件信息为例，对上述步骤的具体实现方式进行说明：
视频播放APP接收服务器发送的默认推荐信息。所述默认推荐信息，包括热门连续剧、热门综艺节目和热门电影等视频文件的信息，该信息可以以海报的形式呈现在视频播放APP的界面中，如图1b所示。
视频播放APP接收到针对所述热门综艺视频文件对应的海报的点击指令后，开始从服务器下载并播放热门综艺视频文件。该热门综艺视频文件的播放记录被保存到视频播放APP本地的数据库中。该播放记录中，可以包含被播放的视频文件的类别标识，以及视频文件在视频播放APP本地的播放次数和播放时长。
视频播放APP将保存的各播放记录发送给服务器。
服务器在接收到视频播放APP发送的播放记录后，根据各播放记录中的播放次数和播放时长，从保存的各播放记录中，确定包含的播放次数大于预设播放次数阈值，且包含的播放时长大于预设的播放时长阈值的播放记录。视频播放APP再次打开时，向服务器发送视频获取请求。该视频获取请求，比如可以是默认发送的、用于获取展示在的主页界面上的视频信息请求。
服务器响应于所述视频获取请求，获取确定的播放记录中的类别标识所映射的视频文件的信息，并将获取的视频文件的信息，发送给视频播放APP进行展示。假设确定的播放记录中的类别标识为“热门综艺”类别，则视频播放APP所展示的热门综艺视频的海报可以如图1c所示。
由于信息被执行的指定操作，可以从一定程度上体现用户对该信息存在喜好倾向，因此通过上述方法，可以实现为用户推荐符合用户喜好的信息，避免用户 向服务器发送针对指定信息的信息查询请求，从而相比于现有技术而言，可以较大程度地减轻服务器处理压力。
实施例2
实施例2提供一种信息推荐方法，用以解决现有技术的信息推荐方法存在的使得服务器处理压力仍然较大的问题。
为便于描述，下文以该方法的执行主体为服务器为例，对本申请实施例提供的该方法进行介绍。
本方法的实现流程如图2所示，主要包括如下步骤：
步骤21，服务器接收用户终端发送的、被执行指定操作的信息的类别标识。
用户终端向服务器发送被执行指定操作的信息的类别标识，可以是指，安装在用户终端上的、对应于该服务器的APP(比如该服务器的客户端)向服务器发送所述类别标识。
所述指定操作，包括点击操作或者特定的手势操作，等等。针对具备不同格式的信息而言，这里所说的指定操作可以不同。比如，针对文字信息而言，文字信息被执行的指定操作，可以是复制；针对图片信息而言，图片信息被执行的指定操作，可以是从服务器下载到应用本地；针对视频信息(如视频文件的海报)而言，视频信息被执行的指定操作，可以是被点击。
所述信息，比如可以是文字信息、图片信息、视频信息或音频信息，等等。所述信息，一般为用户终端上安装的某APP对应的服务器提供给APP的信息；或者，所述信息，也可以是用户终端上安装的除该APP以外的其他APP对应的服务器提供给所述其他APP的信息。针对后一种情况而言，该APP可以通过其他APP向该APP开放的接口，访问所述其他APP的信息，以及确定所述其他APP的被执行指定操作的信息的类别标识。
本申请实施例中，可以根据预设的类别划分标准，对所述信息进行类别划分，得到不同类别的信息。针对划分得到的各类别的信息，可以分别设置不同的类别标识。以所述信息为新闻为例，按照新闻的内容进行类别划分，可以将新闻划分为军事新闻、体育新闻、娱乐新闻、财经新闻等类别；以所述信息为热门站点为例，按照热门站点的内容进行类别划分，可以将热门站点划分为游戏网站、购物网站、视频网站、新闻网站等类别；以所述信息为视频文件为例，按照视频文件 的内容进行类别划分，可以将视频文件划分为综艺视频、体育视频、电视剧视频、教育视频等类别。
上述各类别的信息，均可以具备相应的类别标识。该类别标识，可以由提供该些信息的服务器进行设置。
考虑到服务器若每向APP提供一个信息，均会提供与该信息对应的类别标识，会导致花费较多的传输资源，因此在一种实施方式中，服务器可以预先设置一些默认推荐信息，并将默认推荐信息和为每个默认推荐信息设置类别标识，均发送给APP。而针对非默认推荐信息，服务器可以在向APP发送非默认推荐信息时不发送类别标识，从而能够节省一定的传输资源。
另外，在执行步骤31之前，本实施例2所述的方法还包括服务器向APP发送默认推荐信息。则服务器接收APP发送的、被执行指定操作的信息的类别标识，包括接收APP发送的、被执行指定操作的默认推荐信息的类别标识。
步骤22，服务器向用户终端发送具备通过执行步骤21接收的类别标识的信息。
一般地，服务器可以根据接收到的类别标识，以及不同类别标识与相应的信息的映射关系，在服务器本地的信息存储空间中，查找映射与接收到的该类别标识的信息。进一步地，服务器可以将查找到的信息，发送给APP。
其中，服务器向用户终端发送具备通过执行步骤21接收的类别标识的信息，可以是，服务器向安装在用户终端上的、对应于该服务器的APP(比如该服务器的客户端)发送具备通过执行步骤21接收的类别标识的信息。
考虑到为了让服务器向APP发送的、具备通过执行步骤31接收的类别标识的信息，与用户的喜好更为匹配，在一种实施方式中，APP还可以将具备确定出的类别标识的信息分别被执行指定操作的次数发送给服务器。服务器在接收到所述次数和APP发送来的类别标识后，可以以类别标识和所述次数作为获取信息的依据。比如，服务器可以从接收到的次数中，确定最大次数，并获取具备该最大次数对应的类别标识的信息推荐给APP；又比如，服务器可以从接收到的次数中，确定大于预设次数阈值的次数，并确定大于预设次数阈值的次数对应的类别标识，进而将确定的类别标识对应的信息推荐给APP。由于信息被执行指定操作的次数多少，可以反映用户对于信息的感兴趣程度，也即喜好程度，因此，按照信 息被执行指定操作的次数进行信息推荐，可以更准确地推荐用户喜好的信息。
或者，APP也可以在本地确定出所述最大次数后，与所述最大次数对应的类别标识发送给服务器，作为信息推荐依据。
此外，考虑到用户对信息执行的指定操作，有可能是误操作，而误操作的情况，可能会导致信息推荐的不准确性，因此，在一种实施方式中，APP还可以对被执行指定操作的信息进行过滤，从中滤除被用户误操作的信息，从而将剩余的被执行执行操作的信息的类别标识提供给服务器。
比如，以服务器向APP推送的默认推荐的视频文件信息为例，若视频文件信息为作为视频文件播放入口的海报，所述指定操作包括点击，则为了滤除被用户误操作的信息的类别标识，APP可以从被点击的各默认推荐的视频文件信息分别对应的视频文件中，确定在本地的播放时长大于预设时长阈值的视频文件，进而确定在APP本地的播放时长大于预设时长阈值的视频文件的类别标识，并提供给服务器。采用该方案，可以保证APP发送给服务器的类别标识中，不包含被误操作的信息的类别标识，从而使得服务器根据类别标识推荐的信息更能迎合用户的真实需求。
或者，APP也可以将被点击的各默认推荐的视频文件信息的类别标识，和相应的播放时长发送给服务器，由服务器按照上述类似方式，筛选在APP本地的播放时长大于预设时长阈值的视频文件的类别标识。
针对视频文件信息而言，本申请实施例中，APP也可以根据视频文件信息被执行指定操作的次数，以及相应的视频文件在APP本地被播放的时长，来确定提供给服务器的视频文件信息的类别标识。比如，将被执行指定操作的次数大于预设次数阈值，且相应的时长大于预设时长阈值的视频文件信息的类别标识，提供给服务器。或者，APP也可以直接将视频文件信息被执行指定操作的次数，以及相应的视频文件在APP本地被播放的时长发送给服务器，由服务器来筛选被执行指定操作的次数大于预设次数阈值，且在APP本地的播放时长大于预设时长阈值的视频文件信息的类别标识。
由于信息被执行的指定操作，可以从一定程度上体现用户对该信息存在喜好倾向，因此通过上述方法，可以实现为用户推荐符合用户喜好的信息，避免用户向服务器发送针对指定信息的信息查询请求，从而相比于现有技术而言，可以较大程度地减轻服务器处理压力。
实施例3
为了对实施例1和实施例2提供的方法在实际中的应用流程进行具体说明，实施例3以视频资源服务器向视频播放APP推荐视频信息为例，介绍一种为用户推荐所喜欢的视频信息的方法，用以解决现有技术的信息推荐方法存在的使得服务器处理压力仍然较大的问题。
本方法的实现流程如图3所示，主要包括如下步骤：
步骤31，服务器默认推荐几部比较热门的具备类别标识的视频文件信息，该视频文件信息以视频文件海报的形式呈现在视频播放APP的界面中。
步骤32，视频播放APP接收到针对所述视频文件海报的点击指令后，开始从服务器下载并播放相应的视频文件，并将该视频文件的播放记录保存到视频播放APP的本地数据库。
其中，单条播放记录可以包括：被播放的视频文件在视频播放APP本地的播放时长和播放次数，以及该视频文件的类别标识。
步骤33，视频播放APP针对该视频文件的播放记录，执行：判断该播放记录是否可以上传服务器；若判断为是，则执行步骤34，否则，执行步骤36。
一般地，在一条播放记录生成并保存到视频播放APP的本地数据库后，就可以通过执行步骤33，判断该条播放记录是否可以上传服务器。
在步骤33中，视频播放APP可以判断播放记录中的播放次数是否大于预设播放次数阈值，此外，判断播放记录中的播放时长是否大于预设的播放时长阈值，若判断结果均为是，则可以确定该播放记录为有效播放记录，可以上传服务器，从而执行步骤34。否则，则可以执行步骤37。
步骤34，视频播放APP将可以上传的该条播放记录上传服务器，以使得服务器根据该条播放记录，确定该条播放记录中的类别标识。
步骤35，视频播放APP再次打开时，向服务器发送视频获取请求。
该视频获取请求，比如可以是默认发送的、用于获取展示在该视频播放APP的主页界面上的视频信息请求。
步骤36，服务器响应于所述视频获取请求，向视频播放APP发送通过执行步骤34确定出的类别标识对应的视频文件信息。结束流程。
步骤37，视频播放APP丢弃该条播放记录。结束流程。
需要说明的是，本申请实施例并不对上述方法的各步骤的执行先后顺序进行限制。本申请实施例中为各步骤设置编号，是为了有条理地描述各步骤，并不是对步骤的执行顺序进行限制，即，本申请实施例中为各步骤设置的编号并不能视为限制步骤执行顺序的特征。
由于用户对服务器默认推荐的视频信息海报的点击，可以从一定程度上体现出用户对该视频信息存在喜好倾向。因此，采用上述方法，可以实现为用户推荐符合用户喜好的信息，避免用户向服务器发送针对指定信息的信息查询请求，从而相比于现有技术而言，可以较大程度地减轻服务器处理压力。
最后需要说明的是，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，所述的程序可存储于一非暂态计算机可读存储介质中，该程序在执行时，可包括如上述各方法的实施例的流程。其中，所述的非暂态计算机可读存储介质可为磁碟、光盘、只读存储记忆体(Read-Only Memory,ROM)或随机存储记忆体(Random Access Memory，RAM)等。
实施例4
实施例4提供一种信息推荐装置，用以解决现有技术的信息推荐方法存在的使得服务器处理压力仍然较大的问题。该装置的结构示意图如图4所示，包括下述功能单元：
标识确定单元41，用于确定被执行指定操作的信息的类别标识。
标识发送单元42，用于将标识确定单元41确定的所述类别标识发送给服务器。
推荐信息接收单元43，用于接收服务器根据标识发送单元42发送的所述类别标识推荐的、具备所述类别标识的信息。
考虑到为了让服务器向APP推荐的、对应于该类别标识的信息，与用户的喜好更为匹配，在一种实施方式中，所述装置还可以包括次数确定单元和次数发送单元。其中，所述次数确定单元，用于确定具备确定出的类别标识的信息分别被执行指定操作的次数；所述次数发送单元，用于将确定出的各次数的信息发送给服务器。
当所述装置还包括次数确定单元和次数发送单元时，本申请实施例中，推荐信息接收单元43，具体可以用于接收服务器根据所述类别标识和所述各次数的信息推荐的、具备所述类别标识的信息。
考虑到若服务器每向APP提供一个信息，均会提供与该信息对应的类别标识，会导致耗费较多的传输资源，因此在一种实施方式中，服务器可以预先设置一些默认推荐信息，并将默认推荐信息和为每个默认推荐信息设置类别标识，均发送给APP。而针对非默认推荐信息，服务器可以在向APP发送非默认推荐信息时不发送类别标识，从而能够节省一定的传输资源。在这样的场景下，标识确定单元41具体可以用于：接收服务器发送的默认推荐信息以及所述默认推荐信息的类别标识；从所述默认推荐信息中，确定被执行指定操作的默认推荐信息；确定所述被执行指定操作的默认推荐信息的类别标识。
本申请实施例中，当所述默认推荐信息，包括默认推荐的视频文件信息，而所述指定操作包括点击时，考虑到用户对信息执行的指定操作，有可能是误操作，而误操作的情况，可能会导致信息推荐的不准确性，因此，在一种实施方式中，标识确定单元41确定所述被执行指定操作的默认推荐信息的类别标识的实现方式，具体可以包括：从被点击的各默认推荐的视频文件信息分别对应的视频文件中，确定在本地的播放时长大于预设时长阈值的视频文件；确定所述在本地的播放时长大于预设时长阈值的视频文件的类别标识。
由于信息被执行的指定操作，可以从一定程度上体现用户对该信息存在喜好倾向，因此采用本实施例4提供的上述装置，可以实现为用户推荐符合用户喜好的信息，避免用户向服务器发送针对指定信息的信息查询请求，从而相比于现有技术而言，可以较大程度地减轻服务器处理压力。
实施例5
实施例5提供的一种信息推荐装置，其具体结构示意图如图5所示，包括下述功能单元：
标识接收单元51，用于接收用户终端发送的、被执行指定操作的信息的类别标识。
推荐信息发送单元52，用于向用户终端发送具备所述类别标识的信息。
考虑到为了让服务器向APP推荐的、对应于该类别标识的信息，与用户的喜 好更为匹配，在一种实施方式中，所述装置还可以包括：次数信息接收单元。该次数信息接收单元主要用于：接收所述用户终端发送的、具备所述类别标识的信息分别被执行指定操作的次数的信息。
当所述装置还包括次数信息接收单元时，推荐信息发送单元52具体可以用于根据所述类别标识和次数信息接收单元接收到的所述次数的信息，向所述用户终端发送具备所述类别标识的信息。
考虑到若服务器每向APP提供一个信息，均会提供与该信息对应的类别标识，会导致耗费较多的传输资源，因此在一种实施方式中，服务器可以预先设置一些默认推荐信息，并将默认推荐信息和为每个默认推荐信息设置类别标识，均发送给APP。而针对非默认推荐信息，服务器可以在向APP发送非默认推荐信息时不发送类别标识，从而能够节省一定的传输资源。在这样的场景下，所述装置还可以包括：信息发送单元，用于在标识接收单元51接收所述类别标识前，向所述用户终端发送默认推荐信息和所述默认推荐信息的类别标识。在所述装置还包括信息发送单元的情况下，标识接收单元51，具体可以用于接收用户终端发送的、被执行指定操作的默认推荐信息的类别标识。
本申请实施例中，当所述默认推荐信息，包括默认推荐的视频文件信息，而所述指定操作包括点击时，考虑到用户对信息执行的指定操作，有可能是误操作，而误操作的情况，可能会导致信息推荐的不准确性，因此，在一种实施方式中，推荐信息发送单元52具体可以用于从被点击的各默认推荐的视频文件信息分别对应的视频文件中，确定在用户终端本地的播放时长大于预设时长阈值的视频文件；确定所述在用户终端本地的播放时长大于预设时长阈值的视频文件的类别标识；根据所述次数的信息，向所述用户终端发送具备确定的类别标识的视频文件信息。
由于信息被执行的指定操作，可以从一定程度上体现用户对该信息存在喜好倾向，因此采用本实施例5提供的上述装置，可以实现为用户推荐符合用户喜好的信息，避免用户向服务器发送针对指定信息的信息查询请求，从而相比于现有技术而言，可以较大程度地减轻服务器处理压力。
在本申请另一实施例中，还提供一种电子设备，包括前述实施例4任一实施例所述的信息推荐装置。
在本申请另一实施例中，还提供一种非暂态计算机可读存储介质，所述非暂 态计算机可读存储介质存储有计算机可执行指令，该计算机可执行指令可执行上述实施例1所述的任意方法实施例中的信息推荐方法。
图6是本申请实施例提供的执行实施例1所述的信息推荐方法的电子设备的硬件结构示意图，如图6所示，该设备包括：
一个或多个处理器610以及存储器620，图6中以一个处理器610为例。
执行实施例1所述的信息推荐方法的设备还可以包括：输入装置630和输出装置640。
处理器610、存储器620、输入装置630和输出装置640可以通过总线或者其他方式连接，图6中以通过总线连接为例。
存储器620作为一种非暂态计算机可读存储介质，可用于存储非易失性软件程序、非易失性计算机可执行程序以及模块，如本申请实施例1所述的信息推荐方法对应的程序指令/模块(例如，附图4所示的标识确定单元41、标识发送单元42和推荐信息接收单元43)。处理器610通过运行存储在存储器620中的非易失性软件程序、指令以及模块，从而执行服务器的各种功能应用以及数据处理，即实现上述实施例1所述的方法实施例信息推荐方法。
存储器620可以包括存储程序区和存储数据区，其中，存储程序区可存储操作系统、至少一个功能所需要的应用程序；存储数据区可存储根据实施例4所述的信息推荐装置的使用所创建的数据等。此外，存储器620可以包括高速随机存取存储器，还可以包括非易失性存储器，例如至少一个磁盘存储器件、闪存器件、或其他非易失性固态存储器件。在一些实施例中，存储器620可选包括相对于处理器610远程设置的存储器，这些远程存储器可以通过网络连接至实施例4所述的信息推荐装置。上述网络的实例包括但不限于互联网、企业内部网、局域网、移动通信网及其组合。
输入装置630可接收输入的数字或字符信息，以及产生与实施例4所述的信息推荐装置的用户设置以及功能控制有关的键信号输入。输出装置640可包括显示屏等显示设备。
所述一个或者多个模块存储在所述存储器620中，当被所述一个或者多个处理器610执行时，执行上述实施例1所述的任意方法实施例中的信息推荐方法。
上述产品可执行本申请实施例1所提供的方法，具备执行方法相应的功能模 块和有益效果。未在本实施例中详尽描述的技术细节，可参见本申请实施例1所提供的方法。
本申请实施例的电子设备以多种形式存在，包括但不限于:
(1)移动通信设备:这类设备的特点是具备移动通信功能，并且以提供话音、数据通信为主要目标。这类终端包括:智能手机(例如iPhone)、多媒体手机、功能性手机，以及低端手机等。
(2)超移动个人计算机设备:这类设备属于个人计算机的范畴，有计算和处理功能，一般也具备移动上网特性。这类终端包括:PDA、MID和UMPC设备等，例如iPad。
(3)便携式娱乐设备:这类设备可以显示和播放多媒体内容。该类设备包括:音频、视频播放器(例如iPod)，掌上游戏机，电子书，以及智能玩具和便携式车载导航设备。
(4)服务器:提供计算服务的设备，服务器的构成包括处理器、硬盘、内存、系统总线等，服务器和通用的计算机架构类似，但是由于需要提供高可靠的服务，因此在处理能力、稳定性、可靠性、安全性、可扩展性、可管理性等方面要求较高。
(5)其他具有数据交互功能的电子装置。
在本申请另一实施例中，还提供一种电子设备，包括前述实施例5任一实施例所述的信息推荐装置。
在本申请另一实施例中，还提供一种非暂态计算机可读存储介质，所述非暂态计算机可读存储介质存储有计算机可执行指令，该计算机可执行指令可执行上述实施例2所述的任意方法实施例中的信息推荐方法。
图7是本申请实施例提供的执行实施例2所述的信息推荐方法的电子设备的硬件结构示意图，如图7所示，该设备包括：
一个或多个处理器710以及存储器720，图7中以一个处理器710为例。
执行实施例2所述的信息推荐方法的设备还可以包括：输入装置730和输出装置740。
处理器710、存储器720、输入装置730和输出装置740可以通过总线或者 其他方式连接，图7中以通过总线连接为例。
存储器720作为一种非暂态计算机可读存储介质，可用于存储非易失性软件程序、非易失性计算机可执行程序以及模块，如本申请实施例2所述的信息推荐方法对应的程序指令/模块(例如，附图5所示的标识接收单元51和推荐信息发送单元52)。处理器710通过运行存储在存储器720中的非易失性软件程序、指令以及模块，从而执行服务器的各种功能应用以及数据处理，即实现上述实施例2所述的方法实施例信息推荐方法。
存储器720可以包括存储程序区和存储数据区，其中，存储程序区可存储操作系统、至少一个功能所需要的应用程序；存储数据区可存储根据实施例5所述的信息推荐装置的使用所创建的数据等。此外，存储器720可以包括高速随机存取存储器，还可以包括非易失性存储器，例如至少一个磁盘存储器件、闪存器件、或其他非易失性固态存储器件。在一些实施例中，存储器720可选包括相对于处理器710远程设置的存储器，这些远程存储器可以通过网络连接至实施例5所述的信息推荐装置。上述网络的实例包括但不限于互联网、企业内部网、局域网、移动通信网及其组合。
输入装置730可接收输入的数字或字符信息，以及产生与实施例5所述的信息推荐装置的用户设置以及功能控制有关的键信号输入。输出装置740可包括显示屏等显示设备。
所述一个或者多个模块存储在所述存储器720中，当被所述一个或者多个处理器710执行时，执行上述实施例2所述的任意方法实施例中的信息推荐方法。
上述产品可执行本申请实施例2所提供的方法，具备执行方法相应的功能模块和有益效果。未在本实施例中详尽描述的技术细节，可参见本申请实施例2所提供的方法。
本申请实施例的电子设备以多种形式存在，包括但不限于:
(1)移动通信设备:这类设备的特点是具备移动通信功能，并且以提供话音、数据通信为主要目标。这类终端包括:智能手机(例如iPhone)、多媒体手机、功能性手机，以及低端手机等。
(2)超移动个人计算机设备:这类设备属于个人计算机的范畴，有计算和处理功能，一般也具备移动上网特性。这类终端包括:PDA、MID和UMPC设备等，例如 iPad。
(3)便携式娱乐设备:这类设备可以显示和播放多媒体内容。该类设备包括:音频、视频播放器(例如iPod)，掌上游戏机，电子书，以及智能玩具和便携式车载导航设备。
(4)服务器:提供计算服务的设备，服务器的构成包括处理器、硬盘、内存、系统总线等，服务器和通用的计算机架构类似，但是由于需要提供高可靠的服务，因此在处理能力、稳定性、可靠性、安全性、可扩展性、可管理性等方面要求较高。
(5)其他具有数据交互功能的电子装置。
以上所描述的装置实施例仅仅是示意性的，其中所述作为分离部件说明的单元可以是或者也可以不是物理上分开的，作为单元显示的部件可以是或者也可以不是物理单元，即可以位于一个地方，或者也可以分布到多个网络单元上。可以根据实际的需要选择其中的部分或者全部模块来实现本实施例方案的目的。本领域普通技术人员在不付出创造性的劳动的情况下，即可以理解并实施。
通过以上的实施方式的描述，本领域的技术人员可以清楚地了解到各实施方式可借助软件加必需的通用硬件平台的方式来实现，当然也可以通过硬件。基于这样的理解，上述技术方案本质上或者说对现有技术做出贡献的部分可以以软件产品的形式体现出来，该计算机软件产品可以存储在计算机可读存储介质中，如ROM/RAM、磁碟、光盘等，包括若干指令用以使得一台计算机设备(可以是个人计算机，服务器，或者网络设备等)执行各个实施例或者实施例的某些部分所述的方法。
最后应说明的是：以上实施例仅用以说明本申请的技术方案，而非对其限制；尽管参照前述实施例对本申请进行了详细的说明，本领域的普通技术人员应当理解：其依然可以对前述各实施例所记载的技术方案进行修改，或者对其中部分技术特征进行等同替换；而这些修改或者替换，并不使相应技术方案的本质脱离本申请各实施例技术方案的精神和范围。

Claims (18)

  1. 一种信息推荐方法，其特征在于，应用于电子设备，包括：
    确定被执行指定操作的信息的类别标识；
    将所述类别标识发送给服务器；
    接收服务器根据所述类别标识推荐的、具备所述类别标识的信息。
  2. 根据权利要求1所述的方法，其特征在于，所述方法还包括：
    确定具备确定出的类别标识的信息分别被执行指定操作的次数；
    将确定出的各次数的信息发送给服务器；则
    接收服务器根据所述类别标识推荐的、具备所述类别标识的信息，包括：
    接收服务器根据所述类别标识和所述各次数的信息推荐的、具备所述类别标识的信息。
  3. 根据权利要求1或2所述的方法，其特征在于，确定被执行指定操作的信息的类别标识，包括：
    接收服务器发送的默认推荐信息以及所述默认推荐信息的类别标识；
    从所述默认推荐信息中，确定被执行指定操作的默认推荐信息；
    确定所述被执行指定操作的默认推荐信息的类别标识。
  4. 根据权利要求3所述的方法，其特征在于：
    所述默认推荐信息，包括：默认推荐的视频文件信息；
    所述指定操作，包括：点击；
    确定所述被执行指定操作的默认推荐信息的类别标识，包括：
    从被点击的各默认推荐的视频文件信息分别对应的视频文件中，确定在本地的播放时长大于预设时长阈值的视频文件；
    确定所述在本地的播放时长大于预设时长阈值的视频文件的类别标识。
  5. 一种信息推荐方法，其特征在于，应用于电子设备，包括：
    接收用户终端发送的、被执行指定操作的信息的类别标识；
    根据接收到的所述类别标识，向所述用户终端发送具备所述类别标识的信息。
  6. 根据权利要求5所述的方法，其特征在于，所述方法还包括：
    接收所述用户终端发送的、具备所述类别标识的信息分别被执行指定操作的次数的信息；则
    根据接收到的所述类别标识，向所述用户终端发送具备所述类别标识对应的类型的信息，包括：
    根据所述类别标识和所述次数的信息，向所述用户终端发送具备所述类别标识的信息。
  7. 根据权利要求5或6所述的方法，其特征在于，接收所述类别标识前，所述方法还包括：
    向所述用户终端发送默认推荐信息和所述默认推荐信息的类别标识；则
    接收用户终端发送的、被执行指定操作的信息的类别标识，包括：
    接收用户终端发送的、被执行指定操作的默认推荐信息的类别标识。
  8. 根据权利要求7所述的方法，其特征在于：
    所述默认推荐信息，包括：默认推荐的视频文件信息；
    所述指定操作，包括：点击；则
    根据所述类别标识和所述次数的信息，向所述用户终端发送具备所述类别标识的信息，包括：
    从被点击的各默认推荐的视频文件信息分别对应的视频文件中，确定在用户终端本地的播放时长大于预设时长阈值的视频文件；
    确定所述在用户终端本地的播放时长大于预设时长阈值的视频文件的类别标识；
    根据所述次数的信息，向所述用户终端发送具备确定的类别标识的视频文件信息。
  9. 一种信息推荐装置，其特征在于，包括：
    标识确定单元，用于确定被执行指定操作的信息的类别标识；
    标识发送单元，用于将标识确定单元确定的所述类别标识发送给服务器；
    推荐信息接收单元，用于接收服务器根据标识发送单元发送的所述类别标识推荐的、具备所述类别标识的信息。
  10. 一种信息推荐装置，其特征在于，包括：
    标识接收单元，用于接收用户终端发送的、被执行指定操作的信息的类别标识；
    推荐信息发送单元，用于向所述用户终端发送具备所述类别标识的信息。
  11. 一种电子设备，其特征在于，包括如权利要求9所述的信息推荐装置。
  12. 一种电子设备，其特征在于，包括如权利要求10所述的信息推荐装置。
  13. 一种非暂态计算机可读存储介质，其特征在于，所述非暂态计算机可读存储介质存储计算机指令，所述计算机指令用于使所述计算机执行权利要求1-4任一所述方法。
  14. 一种非暂态计算机可读存储介质，其特征在于，所述非暂态计算机可读存储介质存储计算机指令，所述计算机指令用于使所述计算机执行权利要求5-8任一所述方法。
  15. 一种电子设备，其特征在于，包括：
    一个或多个处理器；以及，
    与所述一个或多个处理器通信连接的存储器；其中，
    所述存储器存储有可被所述一个或多个处理器执行的指令，所述指令被所述一个或多个处理器执行，以使所述一个或多个处理器能够：
    确定被执行指定操作的信息的类别标识；
    将所述类别标识发送给服务器；
    接收服务器根据所述类别标识推荐的、具备所述类别标识的信息。
  16. 一种电子设备，其特征在于，包括：
    一个或多个处理器；以及，
    与所述一个或多个处理器通信连接的存储器；其中，
    所述存储器存储有可被所述一个或多个处理器执行的指令，所述指令被所述一个或多个处理器执行，以使所述一个或多个处理器能够：
    接收用户终端发送的、被执行指定操作的信息的类别标识；
    根据接收到的所述类别标识，向所述用户终端发送具备所述类别标识的信息。
  17. 一种计算机程序产品，所述计算机程序产品包括存储在非暂态计算机可读存储介质上的计算机程序，所述计算机程序包括程序指令，当所述程序指令被计算机执行时，使所述计算机执行权利要求1-4所述的方法。
  18. 一种计算机程序产品，所述计算机程序产品包括存储在非暂态计算机可读存储介质上的计算机程序，所述计算机程序包括程序指令，当所述程序指令被计算机执行时，使所述计算机执行权利要求5-8所述的方法。
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