WO2019037600A1 - 信息推荐方法以及装置、终端设备及存储介质 - Google Patents

信息推荐方法以及装置、终端设备及存储介质 Download PDF

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Publication number
WO2019037600A1
WO2019037600A1 PCT/CN2018/099384 CN2018099384W WO2019037600A1 WO 2019037600 A1 WO2019037600 A1 WO 2019037600A1 CN 2018099384 W CN2018099384 W CN 2018099384W WO 2019037600 A1 WO2019037600 A1 WO 2019037600A1
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Prior art keywords
terminal device
information
recommendation
recommended
user
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PCT/CN2018/099384
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English (en)
French (fr)
Inventor
庞佳宁
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Oppo广东移动通信有限公司
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Publication of WO2019037600A1 publication Critical patent/WO2019037600A1/zh

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    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/90—Details of database functions independent of the retrieved data types
    • G06F16/95—Retrieval from the web
    • G06F16/953—Querying, e.g. by the use of web search engines
    • G06F16/9535—Search customisation based on user profiles and personalisation

Definitions

  • the embodiments of the present application relate to computer technologies, for example, to an information recommendation method and device, a terminal device, and a storage medium.
  • terminal devices such as smart phones and tablets
  • functions of terminal devices are becoming more and more abundant. Users use terminal devices to get news information, listen to songs, and watch videos more frequently.
  • the user usually receives the recommendation information when using the terminal device.
  • the recommendation information is displayed on the initial interface when an application is opened, and the recommendation information is also displayed when the community forum or the bar is used.
  • the recommendation information may be sent by the server or other terminal device, but the content of the related recommendation information is not targeted, and the user is not interested after recommending to the user, and the recommendation efficiency is low.
  • the present application provides an information recommendation method and device, a terminal device, and a storage medium, which improve the information recommendation efficiency, and make the information recommended to the user more targeted.
  • the embodiment of the present application provides a method for recommending information, including:
  • recommendation information in the recommendation information set to obtain recommended content, where the recommendation information set is composed of at least two pieces of recommendation information;
  • the embodiment of the present application further provides an information recommendation apparatus, including:
  • An acquiring module configured to acquire user information uploaded by the terminal device, where the user information includes user operation data and local data of the terminal device;
  • the recommendation information determining module is configured to filter the recommended information in the recommended information set according to the user operation data and the local data of the terminal device to obtain recommended content, where the recommended information set is composed of at least two pieces of recommendation information;
  • a sending module configured to send the recommended content to the terminal device.
  • the embodiment of the present application further provides a terminal device, including: a processor, a memory, and a computer program stored on the memory and operable on the processor, and the processor executes the computer program to implement the embodiment of the present application.
  • a terminal device including: a processor, a memory, and a computer program stored on the memory and operable on the processor, and the processor executes the computer program to implement the embodiment of the present application.
  • the embodiment of the present application further provides a storage medium including a terminal device executable instruction, where the terminal device executable instruction is used to execute the information recommendation method described in the embodiment of the present application when executed by the terminal device processor.
  • FIG. 1 is a scene diagram of an information recommendation method provided by an embodiment of the present application.
  • FIG. 2 is a flowchart of an information recommendation method according to an embodiment of the present application.
  • FIG. 3 is a schematic diagram of a terminal interface for displaying recommendation information according to an embodiment of the present application.
  • FIG. 4 is a schematic diagram of another terminal interface for displaying recommendation information according to an embodiment of the present application.
  • FIG. 5 is a flowchart of another information recommendation method according to an embodiment of the present application.
  • FIG. 6 is a flowchart of another information recommendation method provided by an embodiment of the present application.
  • FIG. 7 is a flowchart of another information recommendation method according to an embodiment of the present application.
  • FIG. 8 is a structural block diagram of an information recommendation apparatus according to an embodiment of the present application.
  • FIG. 8B is a structural block diagram of another information recommendation apparatus according to an embodiment of the present application.
  • FIG. 9 is a schematic structural diagram of a terminal device according to an embodiment of the present disclosure.
  • FIG. 10 is a schematic structural diagram of a server according to an embodiment of the present application.
  • module as used herein may be taken to mean a software object that is executed on the computing system.
  • the different components, modules, engines, and services described herein can be considered as implementation objects on the computing system.
  • the apparatus and method described herein may be implemented in software, and may of course be implemented in hardware, all of which are within the scope of the present application.
  • references to "an embodiment” herein mean that a particular feature, structure, or characteristic described in connection with the embodiments can be included in at least one embodiment of the present application.
  • the appearances of the phrases in various places in the specification are not necessarily referring to the same embodiments, and are not exclusive or alternative embodiments that are mutually exclusive. Those skilled in the art will understand and implicitly understand that the embodiments described herein can be combined with other embodiments.
  • the embodiment of the present application provides an information recommendation method, and the execution body of the information recommendation method may be an information recommendation device provided by an embodiment of the present application, or a server integrated with the information recommendation device, or integrated with the information.
  • the terminal device of the device is recommended, wherein the information recommendation device may be implemented by using hardware or software, and the terminal device may be a smart phone, a vehicle terminal, a tablet computer, a desktop computer, a notebook, a palmtop computer, or the like.
  • FIG. 1 is a schematic diagram of an application scenario of an information recommendation apparatus according to an embodiment of the present disclosure, where the information recommendation apparatus may be integrated in a server.
  • the information recommendation device is mainly configured to: obtain user information uploaded by the terminal device, where the user information includes user operation data and local data of the terminal device; and recommendation information according to the user operation data and local data of the terminal device.
  • the centralized recommendation information is filtered to obtain recommended content, and the recommended information set is composed of at least two pieces of recommendation information; and the recommended content is sent to the terminal device.
  • FIG. 2 is a flowchart of a method for recommending information according to an embodiment of the present application.
  • the information recommendation method includes steps S101, S102, and S103.
  • step S101 user information uploaded by the terminal device is acquired, where the user information includes user operation data and local data of the terminal device.
  • acquiring user information uploaded by the terminal device includes: acquiring user information uploaded by the user recorded in the storage device/cache device, that is, recording user information uploaded in real time during the process of using the terminal device, when needed to generate And when the recommended content is pushed, the user information of the record is obtained, wherein when the user information is recorded, the terminal device is identified, and the identification manner includes the identification code of the terminal device, the used IP address, or the login user name of the user. Identify and store the user information accordingly.
  • acquiring the user information uploaded by the terminal device includes: acquiring user information of the terminal device after establishing a network connection with the terminal device, and performing screening of the subsequent recommended content according to the user information.
  • the user information includes user operation data and local data of the terminal device.
  • the user operation data includes at least one of login information, attention information, and browsing information of the user.
  • the login information may be login information when the user uses various applications (games) installed in the terminal device. If the terminal device is installed with game A, game B, and game C, when the user opens game A, a corresponding login is required, thereby generating login information.
  • the login information includes the name of the logged-in application and the login time, duration, and the like.
  • the attention information may be a user browsing the news, posting a bar, and watching the attention content when the video is broadcasted, wherein the attention information further includes a start time of the attention, a browsing of the attention content, a play record, and the like.
  • the browsing information may be a browsing history of the viewed webpage, news, and the like, and includes a time point corresponding to the browsing of the information.
  • the local data of the terminal device includes a name or a list of applications installed locally by the terminal device, a usage record of the installed application, and the like.
  • step S102 the recommended information is filtered by the user operation data and the local data of the terminal device to obtain recommended content, where the recommended information set is composed of at least two pieces of recommendation information, and the terminal The equipment corresponds.
  • the set of recommendation information consists of a plurality of pieces of recommendation information.
  • the recommendation information may be a different post in the content of the bar, or may be a news and an installable application.
  • the filtering the recommendation information in the recommendation information set according to the user operation data and the local data of the terminal device includes: determining recommendation information in the recommendation information set according to the user operation data and local data of the terminal device. The level is based on the level to filter the recommendation information in the recommendation information set to obtain the recommended content.
  • the user operation data is login information
  • the local data is a game application installed locally, and the game application has more than 5 login times within a preset duration (eg, 3 days)
  • the recommendation information set relates to the
  • the recommended content of the game is set to a high level, and/or the weight is set to 5 (in one embodiment, the weight range includes 1 to 5, the higher the weight indicates that the probability that the recommended content is filtered as recommendation information is greater ).
  • the user operation data is the number of posts and the topic in which the sent post is located, and the recommended content related to the topic in the recommendation information is set to a middle level, and/or the set weight is 4.
  • the recommended content when the recommended content is filtered according to the level and/or the weight in the recommendation information set, different recommended topics are determined according to the level from high to low, and the time stamp order is followed under each of the selected recommended topics.
  • the recommendation is performed by selecting a preset amount of content from near to far, and the preset quantity may be determined according to the determined weight. If the weight of the topic is 5, 10 recommendable content is selected in the theme, and if the weight of the theme is 3, 6 recommendable content is selected in the theme.
  • the method before the recommending the recommended information in the recommended information set according to the user operation data and the local data of the terminal device, the method further includes: determining, according to the recommended content stored in the database, The recommended information set corresponding to the terminal device.
  • the recommendation information collection terminal device corresponds to, for example, the recommendation information corresponding to the terminal device may be determined according to the current geographic location of the terminal device, the location where the terminal is located, or the user attribute of the user using the terminal device. The set is used for subsequent information screening in the recommendation information set according to the user information, thereby narrowing the determination range of the recommended content, and making the recommendation information more targeted.
  • step S103 the recommended content is sent to the terminal device.
  • the sending the recommended content to the terminal device comprises: when detecting that the terminal device meets a preset pushing condition, sending the recommended content to the terminal device.
  • the preset push condition includes at least one of the following: the user information uploaded by the terminal device changes; the display interface of the terminal device enters the information recommendation interface; and the terminal device triggers the download task.
  • the information recommendation is triggered.
  • the new user information may be operation information of an application installed in the terminal device.
  • the display interface of the terminal device may be detected to enter the information recommendation interface to trigger information push.
  • the determination that the display interface enters the information recommendation interface may detect whether the terminal device triggers an information push event or invokes The information recommendation interface controls to determine whether to enter the information recommendation interface.
  • information recommendation may be performed when detecting that the terminal device triggers the download task, so that the user of the terminal device obtains more downloadable content.
  • the recommendation information may be displayed in the form of a list in the terminal device.
  • FIG. 3 is a schematic diagram of a terminal interface for displaying recommendation information according to an embodiment of the present application.
  • a terminal device opens an application, on the front page of the application, or Post bar, the homepage/recommendation page of the game community to display the recommended information.
  • FIG. 4 is a schematic diagram of another terminal interface for displaying recommendation information according to an embodiment of the present application.
  • the recommendation information is displayed as additional information in any display interface of the terminal device. As shown in a news browsing interface.
  • the recommended content is filtered and recommended by the user in the recommendation information corresponding to the terminal device.
  • the personalized information is pushed according to the user information, and the recommendation information set is directed to the terminal.
  • Device generation improves the targeting of recommended content and improves the efficiency of information recommendation.
  • the information recommendation method and device, the terminal device and the storage medium provided by the embodiments of the present application analyze the uploaded user operation data and the local data of the terminal device, and perform information screening in the recommendation information set to determine the recommended content, so that the recommended content is targeted. Stronger, it improves the efficiency of information recommendation, and avoids the user receiving a lot of useless or uninteresting information.
  • FIG. 5 is a flowchart of another information recommendation method according to an embodiment of the present disclosure, before the recommended content is filtered by the user operation data and the local data of the terminal device according to the local data of the terminal device, The method further includes: determining, according to the recommended content stored in the database, a recommended information set corresponding to the terminal device, and determining, according to the recommended content stored in the database, the recommended information set corresponding to the terminal device, including: determining the terminal device a geographic location; determining a recommended information set corresponding to the terminal device according to the recommended content stored in the database and the geographic location.
  • the information recommendation method includes steps S201, S202, and S203.
  • step S201 user information uploaded by the terminal device is acquired, where the user information includes user operation data and local data of the terminal device.
  • step S202 the geographic location of the terminal device is determined, and the recommended information set corresponding to the terminal device is determined according to the recommended content stored in the database and the geographic location.
  • the corresponding geographic location may be determined based on the network address used by the terminal device.
  • the geographic location corresponding to the network address may be inferred by querying the WHOIS database of the Internet Corporation for Assigned Names and Numbers (ICANN); or the domain name information may be queried based on whois.
  • the reverse resolution of the domain name information indicates whether the network address corresponds to a domain name. If a domain name corresponds to a domain name, the domain name information is queried according to the whois database to determine the geographic location corresponding to the network address.
  • the geographic location data that can be filled in by the user when the user registers with the terminal device can determine the geographic location data as the geographic location of the terminal device.
  • the delay data recorded by the interaction with the terminal device determines the geographic location of the first terminal according to the delay data (the round-trip delay of the transmitted data), and may also be based on the connection with the terminal.
  • the identifier of the base station determines the geographic location of the terminal device, and may also determine the corresponding geographic location according to the GPS positioning data uploaded by the terminal device.
  • a recommendation information set corresponding to the geographic location is determined.
  • the topic-geographic mapping table is generated according to the degree of association by performing machine learning on the content and geographic location of the plurality of recommended topics stored in the record to obtain the degree of association of each recommended topic and the corresponding geographic location.
  • unsupervised learning may be used to determine the degree of association between the recommended topic and the geographic location. For example, using the Apriori algorithm or the k-Means algorithm, the recommended data set obtained by learning may be as follows:
  • the geographical location may be a province, a city or a district. According to the geographical location of the current terminal device and the topic-location map, the corresponding recommended topic is found to obtain the recommended data set.
  • the recommended topics for the geographically relevant associations may be semi-supervised machine learning to obtain recommended data sets.
  • the recommended topic is a Shenzhen xx game topic
  • the geographic location of Shenzhen may be identified as strongly associated with the recommended topic.
  • the learning process may employ a Graph Inference algorithm or a Laplacian SVM algorithm or the like.
  • step S203 the recommended information in the recommendation information set is filtered according to the user operation data and the local data of the terminal device to obtain recommended content, and the recommended content is sent to the terminal device.
  • the recommendation information set is determined according to the current location of the terminal device, so that the recommended content to be filtered is more targeted, and the usefulness of the recommendation information is improved, so that the user can perform subsequent operations based on the recommendation information.
  • FIG. 6 is a flowchart of another information recommendation method according to an embodiment of the present application, before the recommended content is filtered by the user operation data and the local data of the terminal device according to the local data of the terminal device, The method further includes: determining a recommended information set corresponding to the terminal device according to the recommended content stored in the database, and determining, according to the recommended content stored in the database, the recommended information set corresponding to the terminal device: determining that the terminal device is currently a location where the location is; determining a set of recommended information corresponding to the terminal device according to the recommended content stored in the database and the location.
  • the information recommendation method includes steps S301, S302, and S303.
  • step S301 user information uploaded by the terminal device is acquired, where the user information includes user operation data and local data of the terminal device.
  • step S302 the location where the terminal device is currently located is determined, and the recommended information set corresponding to the terminal device is determined according to the recommended content stored in the database and the location.
  • the GPS data of the terminal device may be acquired, where the GPS data represents the current location of the terminal device, for example, the GPS data may include the latitude, longitude, and From the sea level height, the GPS data collection map data can be used to determine the location where the terminal device is currently located.
  • the places mainly refer to the types of places, such as libraries, shopping malls, gyms, etc.
  • the obtained location information of the terminal device is a longitude x, a latitude y, an altitude z, and a location corresponding to the geographic coordinate of the longitude x and the latitude y is searched in the map data, and the determined terminal device is located in the book.
  • the corresponding place information is the library.
  • the process of determining the recommended information set according to the recommended content stored in the location and the database may be: determining the recommended topic corresponding to the location according to the location-recommended topic mapping table to generate the recommended data set.
  • the method for determining the location-recommended topic mapping table includes determining by using a machine learning manner, and the determining method is as described in step S301, and details are not described herein again.
  • step S303 the recommended information in the recommendation information set is filtered according to the user operation data and the local data of the terminal device to obtain recommended content, and the recommended content is sent to the terminal device.
  • the recommended information set is determined according to the current location of the terminal device, such as determining for the gym, the shopping mall, and the soccer field, so that the recommended content to be screened is more targeted and meets the current needs of the user.
  • FIG. 7 is a flowchart of another information recommendation method according to an embodiment of the present application, before the recommended content is filtered by the user operation data and the local data of the terminal device according to the local data of the terminal device, The method further includes: determining a recommended information set corresponding to the terminal device according to the recommended content stored in the database, and determining, according to the recommended content stored in the database, the recommended information set corresponding to the terminal device, including: determining that the terminal device corresponds to User attribute of the user; determining a recommendation information set corresponding to the terminal device according to the recommended content stored in the database and the user attribute.
  • the information recommendation method includes steps S301, S302, and S303.
  • step S401 user information uploaded by the terminal device is acquired, and the user information includes user operation data and local data of the terminal device.
  • step S402 the user attribute of the user corresponding to the terminal device is determined, and the recommended information set corresponding to the terminal device is determined according to the recommended content stored in the database and the user attribute.
  • the user attribute of the user may be the user's age, gender, occupation, hobbies, and the like.
  • the user registration information may be extracted when the terminal device accesses the community, the forum, and the post bar, and the corresponding user attribute is determined according to the registration information.
  • the thematic content corresponding to the user attribute may be determined according to the user attribute and the attribute-topic mapping table, and the recommended information set is generated.
  • the attribute-topic mapping table is described in the following table (for ease of presentation, the number of recommended topics corresponding to user attributes is simplified).
  • the corresponding topic a and the recommended topic b are combined to form a recommendation information set.
  • step S403 the recommended information in the recommendation information set is filtered according to the user operation data and the local data of the terminal device to obtain recommended content, and the recommended content is sent to the terminal device.
  • the recommendation information set is determined according to the user attribute of the terminal device user, narrowing the scope of the recommendation information set, facilitating the screening of the subsequent recommended content, and discarding a large amount of useless recommendation information, so that the recommended content is more targeted. high.
  • the recommended information set may be jointly determined according to the current location of the terminal device, the user attribute of the user, and the like, and is not limited in this application.
  • FIG. 8A is a structural block diagram of an information recommendation apparatus according to an embodiment of the present disclosure.
  • the apparatus is configured to execute the information recommendation method provided by the foregoing embodiment, and has a function module and a beneficial effect corresponding to the execution method.
  • the apparatus includes: an acquisition module 101, a recommendation information determination module 102, and a transmission module 103.
  • the obtaining module 101 is configured to acquire user information uploaded by the terminal device, where the user information includes user operation data and local data of the terminal device.
  • acquiring user information uploaded by the terminal device includes: acquiring user information uploaded by the user recorded in the storage device/cache device, that is, recording user information uploaded in real time during the process of using the terminal device, when needed to generate And when the recommended content is pushed, the user information of the record is obtained, wherein when the user information is recorded, the terminal device is identified, and the identification manner includes the identification code of the terminal device, the used IP address, or the login user name of the user. Identify and store the user information accordingly.
  • acquiring the user information uploaded by the terminal device includes: acquiring user information of the terminal device after establishing a network connection with the terminal device, and performing screening of the subsequent recommended content according to the user information.
  • the user information includes user operation data and local data of the terminal device.
  • the user operation data includes at least one of login information, attention information, and browsing information of the user.
  • the login information may be login information when the user uses various applications (games) installed in the terminal device. If the terminal device is installed with game A, game B, and game C, when the user opens game A, a corresponding login is required, thereby generating login information.
  • the login information includes the name of the logged-in application and the login time, duration, and the like.
  • the attention information may be a user browsing the news, posting a bar, and watching the attention content when watching the live video, wherein the attention information further includes a start time of the attention and a browsing and playing record of the attention content.
  • the browsing information may be a browsing history of the viewed webpage and news, and the time point corresponding to when the information is browsed.
  • the local data of the terminal device includes a name or a list of applications installed locally by the terminal device, a usage record of the installed application, and the like.
  • the recommendation information determining module 102 is configured to filter the recommendation information in the recommendation information set according to the user operation data and the local data of the terminal device to obtain recommended content, where the recommendation information set is composed of at least two pieces of recommendation information.
  • the set of recommendation information consists of a plurality of pieces of recommendation information.
  • the recommendation information may be a different post in the content of the bar, or may be a news and an installable application.
  • the filtering the recommendation information in the recommendation information set according to the user operation data and the local data of the terminal device includes: determining recommendation information in the recommendation information set according to the user operation data and local data of the terminal device. The level is based on the level to filter the recommendation information in the recommendation information set to obtain the recommended content.
  • the user operation data is login information
  • the local data is a game application installed locally, and the game application has more than 5 login times within a preset duration (eg, 3 days)
  • the recommendation information set relates to the
  • the recommended content of the game is set to a high level, and/or the weight is set to 5 (in one embodiment, the weight range includes 1 to 5, the higher the weight indicates that the probability that the recommended content is filtered as recommendation information is greater ).
  • the user operation data is the number of posts and the topic in which the sent post is located, and the recommended content related to the topic in the recommendation information is set to a middle level, and/or the set weight is 4.
  • the recommended content when the recommended content is filtered according to the level and/or the weight in the recommendation information set, different recommended topics are determined according to the level from high to low, and the time stamp order is followed under each of the selected recommended topics.
  • the recommendation is performed by selecting a preset amount of content from near to far, and the preset quantity may be determined according to the determined weight. If the weight of the topic is 5, 10 recommendable content is selected in the theme, and if the weight of the theme is 3, 6 recommendable content is selected in the theme.
  • the method before the recommending the recommended information in the recommended information set according to the user operation data and the local data of the terminal device, the method further includes: determining, according to the recommended content stored in the database, The recommended information set corresponding to the terminal device.
  • the recommended information collection terminal device corresponds to, for example, the recommended information set corresponding to the terminal device may be determined according to the current geographic location of the terminal device, the location where the terminal is located, or the user attribute of the user using the terminal device. It is used for subsequent information screening in the recommendation information set according to user information, thereby narrowing the determination range of the recommended content, and making the recommendation information more targeted.
  • the sending module 103 is configured to send the recommended content to the terminal device.
  • the sending the recommended content to the terminal device comprises: when detecting that the terminal device meets a preset pushing condition, sending the recommended content to the terminal device.
  • the terminal device meets the preset push condition, and includes at least one of the following: the user information uploaded by the terminal device changes; the display interface of the terminal device enters the information recommendation interface; and the terminal device triggers the download task.
  • the information recommendation is triggered.
  • the new user information may be operation information of an application installed in the terminal device.
  • the display interface of the terminal device may be detected to enter the information recommendation interface to trigger information push.
  • the determination of the display interface entering the information recommendation interface may be performed by detecting whether the terminal device triggers an information push event or invokes information push. Interface controls to determine if you are entering the information push interface.
  • information recommendation may be performed when detecting that the terminal device triggers the download task, so that the user of the terminal device obtains more downloadable content.
  • the recommended content is filtered and recommended by the user in the recommendation information corresponding to the terminal device.
  • the personalized information is pushed according to the user information, and the recommendation information set is directed to the terminal.
  • Device generation improves the targeting of recommended content and improves the efficiency of information recommendation.
  • the recommendation information determination module 102 is configured to:
  • the recommended content is filtered according to at least one of the login information, the attention information or the browsing information of the user and the application program installed locally by the terminal device to filter the recommendation information in the recommendation information set.
  • the recommendation information determination module 102 is configured to:
  • FIG. 8B is a structural block diagram of another information recommendation apparatus according to an embodiment of the present disclosure.
  • the apparatus is configured to execute the information recommendation method provided by the foregoing embodiment, and has a function module and a beneficial effect corresponding to the execution method.
  • the apparatus includes: an obtaining module 101, a recommendation information determining module 102, a sending module 103, and a recommendation information set determining module 104.
  • the recommendation information set determining module 104 is configured to: before the recommendation information according to the user operation data and the local data of the terminal device is filtered to obtain recommended content, according to the recommended content stored in the database The recommended information set corresponding to the terminal device.
  • the recommendation information set determination module 104 is configured to:
  • the recommendation information set determination module 104 is configured to:
  • the recommendation information set determination module 104 is configured to:
  • the sending module 103 is further configured to: when the terminal device detects that the terminal device meets the preset pushing condition, send the recommended content to the terminal device, where the preset pushing condition includes at least one of the following The user information uploaded by the terminal device changes; the display interface of the terminal device enters a information recommendation interface; the terminal device triggers a download task.
  • the recommendation information sending module is further configured to: detect whether the mobile terminal triggers an information push event or invokes an information recommendation interface control; if the mobile terminal triggers an information push event or invokes an information recommendation interface control And determining that the display interface of the mobile terminal enters the information recommendation interface.
  • FIG. 9 is a schematic structural diagram of a terminal device according to an embodiment of the present application.
  • the terminal device 200 includes a memory 201, a central processing unit (CPU) 202, a peripheral interface 203, a radio frequency (RF) circuit 205, an audio circuit 206, a speaker 211, and power management.
  • Chip 208, input/output (I/O) subsystem 209, touch screen 212, other input/control devices 210, and external port 204 are communicated via one or more communication buses or signal lines 207.
  • the illustrated terminal device 200 is merely one example of a terminal device, and the terminal device 200 may have more or fewer components than those shown in the figures, and two or more components may be combined. Or it can have different component configurations.
  • the various components shown in the figures can be implemented in hardware, software, or a combination of hardware and software, including one or more signal processing and/or application specific integrated circuits.
  • the terminal device for rights management of a multi-open application provided in this embodiment is described in detail below.
  • the terminal device takes a smart phone as an example.
  • the memory 201 may be accessed by the CPU 202, the peripheral interface 203, etc., and the memory 201 may include a high speed random access memory, and may also include a nonvolatile memory such as one or more magnetic disk storage devices, flash memory devices. Or other volatile solid-state storage devices.
  • Peripheral interface 203 which can connect the input and output peripherals of the device to CPU 202 and memory 201.
  • I/O subsystem 209 which can connect input and output peripherals on the device, such as touch screen 212 and other input/control devices 210, to peripheral interface 203.
  • I/O subsystem 209 can include display controller 2091 and one or more input controllers 2092 for controlling other input/control devices 210.
  • one or more input controllers 2092 receive electrical signals from other input/control devices 210 or transmit electrical signals to other input/control devices 210, and other input/control devices 210 may include physical buttons (press buttons, rocker buttons, etc.) ), dial, slide switch, joystick, click wheel.
  • the input controller 2092 can be connected to any of the following: a keyboard, an infrared port, a USB interface, and a pointing device such as a mouse.
  • the touch screen 212 is an input interface and an output interface between the user terminal and the user, and displays the visual output to the user.
  • the visual output may include graphics, text, icons, videos, and the like.
  • Display controller 2091 in I/O subsystem 209 receives electrical signals from touch screen 212 or transmits electrical signals to touch screen 212.
  • the touch screen 212 detects the contact on the touch screen, and the display controller 2091 converts the detected contact into an interaction with the user interface object displayed on the touch screen 212, that is, realizes human-computer interaction, and the user interface object displayed on the touch screen 212 can be operated.
  • the icon of the game, the icon of the network to the corresponding network, and the like.
  • the device may also include a light mouse, which is a touch sensitive surface that does not display a visual output, or an extension of a touch sensitive surface formed by the touch screen.
  • the RF circuit 205 is mainly configured to establish communication between the mobile phone and the wireless network (ie, the network side), and implement data reception and transmission between the mobile phone and the wireless network. For example, sending and receiving short messages, emails, and the like. Specifically, the RF circuit 205 receives and transmits an RF signal, which is also referred to as an electromagnetic signal, and the RF circuit 205 converts the electrical signal into an electromagnetic signal or converts the electromagnetic signal into an electrical signal, and through the electromagnetic signal and communication network and other devices Communicate.
  • an RF signal which is also referred to as an electromagnetic signal
  • the RF circuit 205 converts the electrical signal into an electromagnetic signal or converts the electromagnetic signal into an electrical signal, and through the electromagnetic signal and communication network and other devices Communicate.
  • RF circuitry 205 may include known circuitry for performing these functions including, but not limited to, an antenna system, an RF transceiver, one or more amplifiers, a tuner, one or more oscillators, a digital signal processor, a CODEC ( COder-DECoder, codec) Chipset, Subscriber Identity Module (SIM), etc.
  • an antenna system an RF transceiver, one or more amplifiers, a tuner, one or more oscillators, a digital signal processor, a CODEC ( COder-DECoder, codec) Chipset, Subscriber Identity Module (SIM), etc.
  • CODEC COder-DECoder, codec
  • SIM Subscriber Identity Module
  • the audio circuit 206 is primarily configured to receive audio data from the peripheral interface 203, convert the audio data into an electrical signal, and transmit the electrical signal to the speaker 211.
  • the speaker 211 is arranged to restore the voice signal received by the mobile phone from the wireless network through the RF circuit 205 to sound and play the sound to the user.
  • the power management chip 208 is configured to supply power and power management to the hardware connected to the CPU 202, the I/O subsystem, and the peripheral interface.
  • the information recommendation device and the terminal device of the terminal device provided in the foregoing embodiments may perform the information recommendation method of the terminal device provided by any embodiment of the present application, and have the corresponding functional modules and beneficial effects of performing the method.
  • the information recommendation method of the terminal device provided by any embodiment of the present application may perform the information recommendation method of the terminal device provided by any embodiment of the present application.
  • the embodiment of the present application further provides a storage medium including terminal device executable instructions, where the terminal device executable instructions are used to execute an information recommendation method when executed by a terminal device processor, and the method includes:
  • recommendation information set is composed of at least two pieces of recommendation information, and corresponds to the terminal device
  • the filtering the recommended information in the recommendation information set according to the user operation data and the local data of the terminal device to obtain recommended content includes:
  • the recommended content is filtered according to at least one of the login information, the attention information or the browsing information of the user and the application program installed locally by the terminal device to filter the recommendation information in the recommendation information set.
  • the filtering the recommendation information in the recommendation information set according to the user operation data and the local data of the terminal device includes:
  • the method before the filtering, according to the user operation data and the local data of the terminal device, the recommendation information in the recommendation information set is filtered to obtain the recommended content, the method further includes:
  • the determining, according to the recommended content stored in the database, the recommended information set corresponding to the terminal device includes:
  • the determining, according to the recommended content stored in the database, the recommended information set corresponding to the terminal device includes:
  • the determining, according to the recommended content stored in the database, the recommended information set corresponding to the terminal device includes:
  • Storage media any of a variety of types of memory devices or storage devices.
  • the term "storage medium” is intended to include: a mounting medium such as a CD-ROM, a floppy disk or a tape device; a computer system memory or a random access memory such as DRAM, DDR RAM, SRAM, EDO RAM, Rambus RAM, etc.
  • Non-volatile memory such as flash memory, magnetic media (such as hard disk or optical storage); registers or other similar types of memory elements, and the like.
  • the storage medium may also include other types of memory or a combination thereof.
  • the storage medium may be located in a first computer system in which the program is executed, or may be located in a different second computer system, the second computer system being coupled to the first computer system via a network, such as the Internet.
  • the second computer system can provide program instructions to the first computer for execution.
  • the term "storage medium" can include two or more storage media that can reside in different locations (eg, in different computer systems connected through a network).
  • a storage medium may store program instructions (eg, embodied as a computer program) executable by one or more processors.
  • the storage medium containing the computer executable instructions provided by the embodiment of the present application is not limited to the information recommendation method operation as described above, and may also perform the information recommendation method provided by any embodiment of the present application. Related operations in .
  • FIG. 10 is a schematic structural diagram of a server according to an embodiment of the present disclosure.
  • the server 300 includes: a memory 301 and a processor.
  • the central processing unit (CPU) 302 wherein the memory 301 stores a computer program executed by the processor 302, and the computer program is used to implement the information recommendation method provided by the foregoing embodiment.

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Abstract

公开了一种信息推荐方法以及装置、终端设备及存储介质，该方法获取终端设备上传的用户信息，所述用户信息包括用户操作数据以及所述终端设备的本地数据；依据所述用户操作数据以及所述终端设备的本地数据对推荐信息集中的推荐信息进行筛选得到推荐内容，所述推荐信息集由至少两条推荐信息组成；发送所述推荐内容至所述终端设备。

Description

信息推荐方法以及装置、终端设备及存储介质
本申请要求在2017年08月24日提交中国专利局、申请号为201710736055.2的中国专利申请的优先权，该申请的全部内容通过引用结合在本申请中。
技术领域
本申请实施例涉及计算机技术，例如涉及一种信息推荐方法以及装置、终端设备及存储介质。
背景技术
随着终端设备如智能手机、平板电脑的普及，终端设备的功能也越来越丰富。用户使用终端设备获取新闻资讯、听歌、以及看视频的频率也越来越高。
相关技术中，用户在使用终端设备时通常会收到推荐信息，如打开一个应用程序时在初始界面会显示推荐信息，在使用社区论坛、贴吧时，也会显示推荐信息。该推荐信息可由服务器或其它终端设备发送，然而相关的推荐信息的内容缺乏针对性，推荐给用户后用户并不感兴趣，推荐效率低下。
发明内容
本申请提供了一种信息推荐方法以及装置、终端设备及存储介质，提高了信息推荐效率，使得推荐给用户的信息针对性更强。
本申请实施例提供了一种信息推荐方法，包括：
获取终端设备上传的用户信息，所述用户信息包括用户操作数据以及所述终端设备的本地数据；
依据所述用户操作数据以及所述终端设备的本地数据对推荐信息集中的推荐信息进行筛选得到推荐内容，所述推荐信息集由至少两条推荐信息组成；
发送所述推荐内容至所述终端设备。
本申请实施例还提供了一种信息推荐装置，包括：
获取模块，设置为获取终端设备上传的用户信息，所述用户信息包括用户操作数据以及所述终端设备的本地数据；
推荐信息确定模块，设置为依据所述用户操作数据以及所述终端设备的本地数据对推荐信息集中的推荐信息进行筛选得到推荐内容，所述推荐信息集由至少两条推荐信息组成；
发送模块，设置为发送所述推荐内容至所述终端设备。
本申请实施例还提供了一种终端设备，包括：处理器、存储器以及存储在存储器上并可在处理器上运行的计算机程序，所述处理器执行所述计算机程序时实现如本申请实施例所述的信息推荐方法。
本申请实施例还提供了一种包含终端设备可执行指令的存储介质，所述终端设备可执行指令在由终端设备处理器执行时用于执行本申请实施例所述的信息推荐方法。
附图概述
通过阅读参照以下附图所作的对非限制性实施例所作的详细描述，本申请的其它特征、目的和优点将会变得更明显：
图1是本申请实施例提供的信息推荐方法的场景图；
图2是本申请实施例提供的一种信息推荐方法的流程图；
图3是本申请实施例提供的一种显示推荐信息的终端界面示意图；
图4是本申请实施例提供的另一种显示推荐信息的终端界面示意图；
图5是本申请实施例提供的另一种信息推荐方法的流程图；
图6是本申请实施例提供的另一种信息推荐方法的流程图；
图7是本申请实施例提供的另一种信息推荐方法的流程图；
图8A是本申请实施例提供的一种信息推荐装置的结构框图；
图8B是本申请实施例提供的另一种信息推荐装置的结构框图；
图9是本申请实施例提供的一种终端设备的结构示意图；
图10是本申请实施例提供的一种服务器的结构示意图。
具体实施方式
下面结合附图和实施例对本申请作进一步的详细说明。可以理解的是，此处所描述的具体实施例用于解释本申请，而非对本申请的限定。另外还需要说明的是，为了便于描述，附图中仅示出了与本申请相关的部分而非全部结构。
在以下的说明中，本申请的具体实施例将参考由一部或多部计算机所执行的步骤及符号来说明，除非另有述明。因此，这些步骤及操作将有数次提到由计算机执行，本文所指的计算机执行包括了由代表了以一结构化型式中的数据的电子信号的计算机处理单元的操作。此操作转换该数据或将其维持在该计算机的内存系统中的位置处，其可重新配置或另外以本领域测试人员所熟知的方式来改变该计算机的运作。该数据所维持的数据结构为该内存的实体 位置，其具有由该数据格式所定义的特定特性。但是，本申请原理以上述文字来说明，其并不代表为一种限制，本领域测试人员将可了解到以下所述的多种步骤及操作亦可实施在硬件当中。
本文所使用的术语「模块」可看做为在该运算系统上执行的软件对象。本文所述的不同组件、模块、引擎及服务可看做为在该运算系统上的实施对象。而本文所述的装置及方法可以以软件的方式进行实施，当然也可在硬件上进行实施，均在本申请保护范围之内。
在本文中提及“实施例”意味着，结合实施例描述的特定特征、结构或特性可以包含在本申请的至少一个实施例中。在说明书中的各个位置出现该短语并不一定均是指相同的实施例，也不是与其它实施例互斥的独立的或备选的实施例。本领域技术人员显式地和隐式地理解的是，本文所描述的实施例可以与其它实施例相结合。
本申请实施例提供一种信息推荐方法，该信息推荐方法的执行主体可以是本申请实施例提供的一种信息推荐装置，或者集成了所述信息推荐装置的服务器，又或者集成了所述信息推荐装置的终端设备，其中所述信息推荐装置可以采用硬件或者软件的方式实现，所述终端设备可以是智能手机、车载终端、平板电脑、台式电脑、笔记本、掌上电脑等设备。
图1为本申请实施例提供的一种信息推荐装置的应用场景示意图，其中该信息推荐装置可以集成在服务器中。该信息推荐装置主要设置为：获取终端设备上传的用户信息，所述用户信息包括用户操作数据以及所述终端设备的本地数据；依据所述用户操作数据以及所述终端设备的本地数据对推荐信息集中的推荐信息进行筛选得到推荐内容，所述推荐信息集由至少两条推荐信息组成；发送所述推荐内容至所述终端设备。
本申请实施例提供了一种信息推荐方法，请参阅图2，图2为本申请实施例提供的信息推荐方法的流程图。所述信息推荐方法包括步骤S101、S102以及S103。
在步骤S101中，获取终端设备上传的用户信息，所述用户信息包括用户操作数据以及所述终端设备的本地数据。
在一个实施例中，获取终端设备上传的用户信息包括：获取存储设备/缓存设备中记录的用户上传的用户信息，即对用户在使用终端设备过程中实时上传的用户信息进行记录，当需要生成并推送推荐内容时，获取该记录的用户信息，其中，在对用户信息进行记录时，对终端设备进行识别，识别方式包括通过终端设备的标识码、使用的IP地址或使用者的登录用户名进行识别，并将用户信息对应存储。
在一个实施例中，获取终端设备上传的用户信息包括：当建立和终端设备的网络连接后，获取终端设备的用户信息，并依据该用户信息进行后续推荐内容的筛选。
在一实施例中，该用户信息包括用户操作数据以及终端设备的本地数据。该用户操作数 据包括用户的登录信息、关注信息、浏览信息中的至少一种。其中，登录信息可以是用户在使用终端设备中安装的各种应用程序(游戏)时的登录信息。如终端设备安装有游戏A、游戏B和游戏C，当用户打开游戏A后需要进行相应的登录，由此产生登录信息。该登录信息包括登录的应用程序的名称以及登录时间、持续时间等。其中，关注信息可以是用户浏览新闻、贴吧，观看视频直播时点选的关注内容，其中该关注信息还包括关注的起始时间以及对关注内容的浏览、播放记录等。其中，浏览信息可以是浏览过的网页、新闻等的浏览记录，其还包括浏览该信息时对应的时间点。在一实施例中，终端设备的本地数据包括终端设备本地安装的应用程序的名称或列表以及安装的应用程序的使用记录等。
在步骤S102中，依据所述用户操作数据以及所述终端设备的本地数据对推荐信息集中的推荐信息进行筛选得到推荐内容，所述推荐信息集由至少两条推荐信息组成，且和所述终端设备相对应。
在一个实施例中，推荐信息集由多条推荐信息组成。在一实施例中，该推荐信息可以是贴吧内容中的不同帖子，还可以是新闻和可安装的应用程序等。其中，所述依据所述用户操作数据以及所述终端设备的本地数据对推荐信息集中的推荐信息进行筛选包括：依据所述用户操作数据以及所述终端设备的本地数据确定推荐信息集中的推荐信息的级别，依据所述级别对推荐信息集中的推荐信息进行筛选得到推荐内容。在一实施例中，用户操作数据为登录信息，本地数据为本地安装有某一游戏应用，且该游戏应用在预设时长(如3天)内登录次数超过5次，则推荐信息集中涉及该游戏的推荐内容被设置为高级别，和/或设置权值为5(在一实施例中，权值范围包括1至5，权值越高表明该推荐内容被筛选为推荐信息的概率越大)。在一实施例中，用户操作数据为发帖数量以及该发送的帖子所在的主题，则推荐信息中涉及该主题的推荐内容被设置为中级别，和/或设置权值为4。在一实施例中，在推荐信息集中依据该级别和/或权值进行推荐内容筛选时，依据级别由高到低确定不同的推荐主题，在筛选出的每个推荐主题下再按照时间戳顺序由近及远选择预设数量的内容进行推荐，该预设数量可依据确定出的权值的大小确定。如该主题的权值为5则在该主题中选择10个可推荐内容，如该主题的权值为3则在该主题中选择6个可推荐内容。
在一个实施例中，在所述依据所述用户操作数据以及所述终端设备的本地数据对推荐信息集中的推荐信息进行筛选得到推荐内容之前，还包括：依据数据库中存储的推荐内容确定和所述终端设备对应的推荐信息集。在本申请实施例中，该推荐信息集合终端设备相对应，例如，可依据终端设备当前的地理位置、所处的场所或使用该终端设备的使用者的用户属性确定和终端设备对应的推荐信息集，用于后续根据用户信息在该推荐信息集中进行信息筛选，由此缩小了推荐内容的确定范围，同时使推荐信息更加具备针对性。
在步骤S103中，发送所述推荐内容至所述终端设备。
在一个实施例中，发送所述推荐内容至所述终端设备包括：检测到所述终端设备满足预设推送条件时，发送所述推荐内容至所述终端设备。所述预设推送条件包括下述至少一种：所述终端设备上传的用户信息发生变化；所述终端设备的显示屏界面进入信息推荐界面；所述终端设备触发下载任务。在一个实施例中，当检测到用户上传的新的用户信息时，触发信息推荐，例如，该新的用户信息可以是对终端设备中安装的应用程序的操作信息。在一个实施例中，可以是检测到终端设备的显示屏界面进入信息推荐界面触发信息推送，示例性的，该显示屏界面进入信息推荐界面的判定可通过检测终端设备是否触发信息推送事件或调用信息推荐界面控件以确定是否进入信息推荐界面。在一个实施例中，当检测到终端设备触发下载任务时可进行信息推荐，以使终端设备的使用者得到更多的可下载内容。
在一个实施例中，该推荐信息可以列表的形式展示在终端设备中。如图3所示，图3是本申请实施例提供的一种显示推荐信息的终端界面示意图，在一实施例中，当终端设备打开某个应用程序时，在该应用程序的首页，或者在贴吧、游戏社区的首页/推荐页进行推荐信息的显示。在另一个实施例中，如图4所示，图4是本申请实施例提供的另一种显示推荐信息的终端界面示意图，该推荐信息作为附加信息显示在终端设备的任一显示界面中，如显示在一新闻浏览界面中。
由上述内容可知，依据终端设备上传的用户信息在和终端设备对应的推荐信息集中进行推荐内容的筛选并推荐个用户，一方面实现了根据用户信息个性化推送，另一方面推荐信息集针对终端设备生成，提高了推荐内容的针对性，也提高了信息推荐效率。
本申请实施例提供的信息推荐方法以及装置、终端设备及存储介质，通过对上传的用户操作数据以及终端设备的本地数据进行分析，在推荐信息集中进行信息筛选确定推荐内容，使得推荐内容的针对性更强，提高了信息推荐效率，避免了用户接收到大量无用或不感兴趣的信息。
图5是本申请实施例提供的另一种信息推荐方法的流程图，在所述依据所述用户操作数据以及所述终端设备的本地数据对推荐信息集中的推荐信息进行筛选得到推荐内容之前，还包括：依据数据库中存储的推荐内容确定和所述终端设备对应的推荐信息集，所述依据数据库中存储的推荐内容确定和所述终端设备对应的推荐信息集包括：确定所述终端设备的地理位置；依据数据库中存储的推荐内容以及所述地理位置确定和所述终端设备对应的推荐信息集。如图5所示，所述信息推荐方法包括步骤S201、S202以及S203。
在步骤S201中，获取终端设备上传的用户信息，所述用户信息包括用户操作数据以及所述终端设备的本地数据。
在步骤S202中，确定所述终端设备的地理位置，依据数据库中存储的推荐内容以及所述地理位置确定和所述终端设备对应的推荐信息集。
在一个实施例中，可依据终端设备使用的网络地址确定对应的地理位置。在一实施例中，可通过查询互联网名称与数字地址分配机构(The Internet Corporation for Assigned Names and Numbers，ICANN)的WHOIS数据库的方式推断出网络地址对应的地理位置；还可是基于whois查询域名信息，通过对域名信息的反向解析查看网络地址是否对应一个域名，如果对应一个域名则根据whois数据库查询其域名信息进而确定网络地址对应的地理位置。
在一个实施例中，可通过终端设备提交的用户注册时填写的地理位置数据，可将该地理位置数据确定为终端设备的地理位置。在另一个实施例中，该可通过和终端设备的交互时记录的时延数据，依据该时延数据(传输数据的往返时延)确定第一终端的地理位置，还可以是依据和终端连接的基站的标识确定终端设备的地理位置，还可以是依据终端设备上传的GPS定位数据确定对应的地理位置。
当终端设备的地理位置确定后，确定和该地理位置对应的推荐信息集。在一实施例中，通过对存储记录的大量推荐专题中的内容和地理位置进行机器学习以得到每个推荐专题和对应的地理位置的关联程度，依据该关联程度生成专题-地理位置映射表。在一实施例中，可采用非监督式学习确定推荐专题和地理位置的关联度，如采用Apriori算法或k-Means算法，学习得到的推荐数据集可以如下表所示：
表1
推荐专题a至e 地理位置A
推荐专题f至m 地理位置C
推荐专题n至s 地理位置F
… …
其中，地理位置可以是省、市或区等。依据当前终端设备的地理位置以及该专题-地理位置映射表找到对应的推荐专题得到推荐数据集。
在另一个实施例中，针对地理位置关联较明显的推荐专题可采用半监督式机器学习方式得到推荐数据集。在一实施例中，如推荐专题为深圳市xx游戏专题，则地理位置深圳可被标识为和该推荐专题强相关。在一实施例中，学习过程可采用Graph Inference算法或Laplacian SVM算法等。
步骤S203中，依据所述用户操作数据以及所述终端设备的本地数据对推荐信息集中的推荐信息进行筛选得到推荐内容，发送所述推荐内容至所述终端设备。
由上述可知，推荐信息集依据终端设备当前的位置进行确定，使得待筛选的推荐内容针 对性更强，提高了推荐信息的有用程度，便于用户基于该推荐信息执行后续操作。
图6是本申请实施例提供的另一种信息推荐方法的流程图，在所述依据所述用户操作数据以及所述终端设备的本地数据对推荐信息集中的推荐信息进行筛选得到推荐内容之前，还包括：依据数据库中存储的推荐内容确定和所述终端设备对应的推荐信息集，所述依据数据库中存储的推荐内容确定和所述终端设备对应的推荐信息集包括：确定所述终端设备当前所处的场所；依据数据库中存储的推荐内容以及所述场所确定和所述终端设备对应的推荐信息集。如图6所示，所述信息推荐方法包括步骤S301、S302以及S303。
在步骤S301中，获取终端设备上传的用户信息，所述用户信息包括用户操作数据以及所述终端设备的本地数据。
在步骤S302中，确定所述终端设备当前所处的场所，依据数据库中存储的推荐内容以及所述场所确定和所述终端设备对应的推荐信息集。
在一个实施例中，当终端设备打开GPS定位功能后，可获取终端设备的GPS数据，该GPS数据表征了终端设备的当前位置，例如，该GPS数据可以包括终端设备当前所在的纬度、经度和距海平面高度，依据该GPS数据集合地图数据可确定终端设备当前所在的场所。其中，场所主要指场所类别，如图书馆、商场、健身房等。在一实施例中，获取到的终端设备的位置信息为经度x，纬度y，海拔z，在地图数据中查询经度x，纬度y这一地理坐标对应的场所，如确定出的终端设备位于图书馆建筑中，则对应的场所信息为图书馆。
在一个实施例中，在依据场所和数据库中存储的推荐内容确定推荐信息集的过程可以是：依据场所-推荐专题映射表确定场所对应的推荐专题进而生成推荐数据集。该场所-推荐专题映射表的确定方式包括采用机器学习方式确定，确定方法如步骤S301所述，此处不再赘述。
在步骤S303中，依据所述用户操作数据以及所述终端设备的本地数据对推荐信息集中的推荐信息进行筛选得到推荐内容，发送所述推荐内容至所述终端设备。
推荐信息集依据终端设备当前的所处的场所确定，如针对健身馆、商场、以及足球场等确定，使得待筛选的推荐内容针对性更强，符合用户当前需求。
图7是本申请实施例提供的另一种信息推荐方法的流程图，在所述依据所述用户操作数据以及所述终端设备的本地数据对推荐信息集中的推荐信息进行筛选得到推荐内容之前，还包括：依据数据库中存储的推荐内容确定和所述终端设备对应的推荐信息集，所述依据数据库中存储的推荐内容确定和所述终端设备对应的推荐信息集包括：确定所述终端设备对应的使用者的用户属性；依据数据库中存储的推荐内容以及所述用户属性确定和所述终端设备对应的推荐信息集。如图7所示，所述信息推荐方法包括步骤S301、S302以及S303。
在步骤S401中，获取终端设备上传的用户信息，所述用户信息包括用户操作数据以及所 述终端设备的本地数据。
在步骤S402中，确定所述终端设备对应的使用者的用户属性，依据数据库中存储的推荐内容以及所述用户属性确定和所述终端设备对应的推荐信息集。
在一个实施例中，该使用者的用户属性可以是使用者的年龄、性别、职业、以及爱好等。在一实施例中，可通过终端设备接入社区、论坛、贴吧时对用户注册信息进行提取，依据该注册信息确定对应的用户属性。在一实施例中，确定过程中，可依据用户属性、属性-专题映射表确定对应该用户属性的专题内容，并生成推荐信息集。在一实施例中，属性-专题映射表如下表所述(为表述方便，对用户属性对应的推荐专题的数目进行了简化)。
表2
用户属性1 推荐专题a 推荐专题b    
用户属性2 推荐专题a 推荐专题c 推荐专题d 推荐专题h
用户属性3 推荐专题e 推荐专题f 推荐专题g  
… … … … …
当确定出终端设备使用者的属性为用户属性1(性别：男，年龄18-25岁，职业：学生)时，对应的将推荐专题a和推荐专题b组成推荐信息集。
在步骤S403中，依据所述用户操作数据以及所述终端设备的本地数据对推荐信息集中的推荐信息进行筛选得到推荐内容，发送所述推荐内容至所述终端设备。
由上述可知，推荐信息集依据终端设备使用者的用户属性而定，缩小了推荐信息集的范围，为后续推荐内容的筛选提供了便利，摒弃了大量无用推荐信息，使得推荐内容的针对性更高。
在一实施例中，推荐信息集可同时依据终端设备当前的场所、使用者的用户属性等条件共同确定，本申请不做限定。
图8A是本申请实施例提供的一种信息推荐装置的结构框图，该装置用于执行上述实施例提供的信息推荐方法，具备执行方法相应的功能模块和有益效果。如图8A所示，该装置包括：获取模块101、推荐信息确定模块102和发送模块103。
其中，获取模块101，设置为获取终端设备上传的用户信息，所述用户信息包括用户操作数据以及所述终端设备的本地数据。
在一个实施例中，获取终端设备上传的用户信息包括：获取存储设备/缓存设备中记录的用户上传的用户信息，即对用户在使用终端设备过程中实时上传的用户信息进行记录，当需要生成并推送推荐内容时，获取该记录的用户信息，其中，在对用户信息进行记录时，对终端设备进行识别，识别方式包括通过终端设备的标识码、使用的IP地址或使用者的登录用户 名进行识别，并将用户信息对应存储。
在一个实施例中，获取终端设备上传的用户信息包括：当建立和终端设备的网络连接后，获取终端设备的用户信息，并依据该用户信息进行后续推荐内容的筛选。
在一实施例中，该用户信息包括用户操作数据以及终端设备的本地数据。该用户操作数据包括用户的登录信息、关注信息、以及浏览信息中的至少一种。其中，登录信息可以是用户在使用终端设备中安装的各种应用程序(游戏)时的登录信息。如终端设备安装有游戏A、游戏B和游戏C，当用户打开游戏A后需要进行相应的登录，由此产生登录信息。该登录信息包括登录的应用程序的名称以及登录时间、持续时间等。其中，关注信息可以是用户浏览新闻、贴吧，以及观看视频直播时点选的关注内容，其中该关注信息还包括关注的起始时间以及对关注内容的浏览和播放记录等。其中，浏览信息可以是浏览过的网页和新闻等的浏览记录，其还包括浏览该信息时对应的时间点。在一实施例中，终端设备的本地数据包括终端设备本地安装的应用程序的名称或列表以及安装的应用程序的使用记录等。
推荐信息确定模块102，设置为依据所述用户操作数据以及所述终端设备的本地数据对推荐信息集中的推荐信息进行筛选得到推荐内容，所述推荐信息集由至少两条推荐信息组成。
在一个实施例中，推荐信息集由多条推荐信息组成。在一实施例中，该推荐信息可以是贴吧内容中的不同帖子，还可以是新闻和可安装的应用程序等。其中，所述依据所述用户操作数据以及所述终端设备的本地数据对推荐信息集中的推荐信息进行筛选包括：依据所述用户操作数据以及所述终端设备的本地数据确定推荐信息集中的推荐信息的级别，依据所述级别对推荐信息集中的推荐信息进行筛选得到推荐内容。在一实施例中，用户操作数据为登录信息，本地数据为本地安装有某一游戏应用，且该游戏应用在预设时长(如3天)内登录次数超过5次，则推荐信息集中涉及该游戏的推荐内容被设置为高级别，和/或设置权值为5(在一实施例中，权值范围包括1至5，权值越高表明该推荐内容被筛选为推荐信息的概率越大)。在一实施例中，用户操作数据为发帖数量以及该发送的帖子所在的主题，则推荐信息中涉及该主题的推荐内容被设置为中级别，和/或设置权值为4。在一实施例中，在推荐信息集中依据该级别和/或权值进行推荐内容筛选时，依据级别由高到低确定不同的推荐主题，在筛选出的每个推荐主题下再按照时间戳顺序由近及远选择预设数量的内容进行推荐，该预设数量可依据确定出的权值的大小确定。如该主题的权值为5则在该主题中选择10个可推荐内容，如该主题的权值为3则在该主题中选择6个可推荐内容。
在一个实施例中，在所述依据所述用户操作数据以及所述终端设备的本地数据对推荐信息集中的推荐信息进行筛选得到推荐内容之前，还包括：依据数据库中存储的推荐内容确定和所述终端设备对应的推荐信息集。本本实施例中，该推荐信息集合终端设备相对应，例如， 可依据终端设备当前的地理位置、所处的场所或使用该终端设备的使用者的用户属性确定和终端设备对应的推荐信息集，用于后续根据用户信息在该推荐信息集中进行信息筛选，由此缩小了推荐内容的确定范围，同时使推荐信息更加具备针对性。
发送模块103，设置为发送所述推荐内容至所述终端设备。
在一个实施例中，发送所述推荐内容至所述终端设备包括：检测到所述终端设备满足预设推送条件时，发送所述推荐内容至所述终端设备。所述终端设备满足预设推送条件包括下述至少一种：所述终端设备上传的用户信息发生变化；所述终端设备的显示屏界面进入信息推荐界面；所述终端设备触发下载任务。在一个实施例中，当检测到用户上传的新的用户信息时，触发信息推荐，示例性的，该新的用户信息可以是对终端设备中安装的应用程序的操作信息。在一个实施例中，可以是检测到终端设备的显示屏界面进入信息推荐界面触发信息推送，例如，该显示屏界面进入信息推荐界面的判定可通过检测终端设备是否触发信息推送事件或调用信息推送界面控件以确定是否进入信息推送界面。在一个实施例中，当检测到终端设备触发下载任务时可进行信息推荐，以使终端设备的使用者得到更多的可下载内容。
由上述内容可知，依据终端设备上传的用户信息在和终端设备对应的推荐信息集中进行推荐内容的筛选并推荐个用户，一方面实现了根据用户信息个性化推送，另一方面推荐信息集针对终端设备生成，提高了推荐内容的针对性，也提高了信息推荐效率。
在一个实施例中，所述推荐信息确定模块102设置为：
依据所述用户的登录信息、关注信息或浏览信息中的至少一种以及所述终端设备本地安装的应用程序对推荐信息集中的推荐信息进行筛选得到推荐内容。
在一个实施例中，所述推荐信息确定模块102设置为：
依据所述用户操作数据以及所述终端设备的本地数据确定推荐信息集中的推荐信息的级别，依据所述级别进行推荐内容的筛选。
图8B是本申请实施例提供的另一种信息推荐装置的结构框图，该装置用于执行上述实施例提供的信息推荐方法，具备执行方法相应的功能模块和有益效果。如图8B所示，该装置包括：获取模块101、推荐信息确定模块102、发送模块103以及推荐信息集确定模块104。
推荐信息集确定模块104，设置为在所述依据所述用户操作数据以及所述终端设备的本地数据对推荐信息集中的推荐信息进行筛选得到推荐内容之前，依据数据库中存储的推荐内容确定和所述终端设备对应的推荐信息集。
在一个实施例中，所述推荐信息集确定模块104设置为：
确定所述终端设备的地理位置；
依据数据库中存储的推荐内容以及所述地理位置确定和所述终端设备对应的推荐信息集。
在一个实施例中，所述推荐信息集确定模块104设置为：
确定所述终端设备当前所处的场所；
依据数据库中存储的推荐内容以及所述场所确定和所述终端设备对应的推荐信息集。
在一个实施例中，所述推荐信息集确定模块104设置为：
确定所述终端设备对应的使用者的用户属性；
依据数据库中存储的推荐内容以及所述用户属性确定和所述终端设备对应的推荐信息集。
在一个实施例中，所述发送模块103还设置为：检测到所述终端设备满足预设推送条件时，发送所述推荐内容至所述终端设备，所述预设推送条件包括下述至少一种：所述终端设备上传的用户信息发生变化；所述终端设备的显示屏界面进入信息推荐界面；所述终端设备触发下载任务。
在一个实施例中，其中，所述推荐信息发送模块还设置为：检测所述移动终端是否触发信息推送事件或调用信息推荐界面控件；若所述移动终端触发信息推送事件或调用信息推荐界面控件，则确定所述移动终端的显示屏界面进入所述信息推荐界面。
图9是本申请实施例提供的一种终端设备的结构示意图。如图9所示，该终端设备200包括：存储器201、处理器(Central Processing Unit，CPU)202、外设接口203、射频(Radio Frequency，RF)电路205、音频电路206、扬声器211、电源管理芯片208、输入/输出(I/O)子系统209、触摸屏212、其他输入/控制设备210以及外部端口204，这些部件通过一个或多个通信总线或信号线207来通信。
应该理解的是，图示终端设备200仅仅是终端设备的一个范例，并且终端设备200可以具有比图中所示出的更多的或者更少的部件，可以组合两个或更多的部件，或者可以具有不同的部件配置。图中所示出的各种部件可以在包括一个或多个信号处理和/或专用集成电路在内的硬件、软件、或硬件和软件的组合中实现。
下面就本实施例提供的用于多开应用的权限管理的终端设备进行详细的描述，该终端设备以智能手机为例。
存储器201，所述存储器201可以被CPU202、外设接口203等访问，所述存储器201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，例如一个或多个磁盘存储器件、闪存器件、或其他易失性固态存储器件。
外设接口203，所述外设接口203可以将设备的输入和输出外设连接到CPU202和存储器201。
I/O子系统209，所述I/O子系统209可以将设备上的输入输出外设，例如触摸屏212和其他输入/控制设备210，连接到外设接口203。I/O子系统209可以包括显示控制器2091和 用于控制其他输入/控制设备210的一个或多个输入控制器2092。其中，一个或多个输入控制器2092从其他输入/控制设备210接收电信号或者向其他输入/控制设备210发送电信号，其他输入/控制设备210可以包括物理按钮(按压按钮、摇臂按钮等)、拨号盘、滑动开关、操纵杆、点击滚轮。值得说明的是，输入控制器2092可以与以下任一个连接：键盘、红外端口、USB接口以及诸如鼠标的指示设备。
触摸屏212，所述触摸屏212是用户终端与用户之间的输入接口和输出接口，将可视输出显示给用户，可视输出可以包括图形、文本、图标、视频等。
I/O子系统209中的显示控制器2091从触摸屏212接收电信号或者向触摸屏212发送电信号。触摸屏212检测触摸屏上的接触，显示控制器2091将检测到的接触转换为与显示在触摸屏212上的用户界面对象的交互，即实现人机交互，显示在触摸屏212上的用户界面对象可以是运行游戏的图标、联网到相应网络的图标等。值得说明的是，设备还可以包括光鼠，光鼠是不显示可视输出的触摸敏感表面，或者是由触摸屏形成的触摸敏感表面的延伸。
RF电路205，主要设置为建立手机与无线网络(即网络侧)的通信，实现手机与无线网络的数据接收和发送。例如收发短信息、电子邮件等。具体地，RF电路205接收并发送RF信号，RF信号也称为电磁信号，RF电路205将电信号转换为电磁信号或将电磁信号转换为电信号，并且通过该电磁信号与通信网络以及其他设备进行通信。RF电路205可以包括用于执行这些功能的已知电路，其包括但不限于天线系统、RF收发机、一个或多个放大器、调谐器、一个或多个振荡器、数字信号处理器、CODEC(COder-DECoder，编译码器)芯片组、用户标识模块(Subscriber Identity Module，SIM)等等。
音频电路206，主要设置为从外设接口203接收音频数据，将该音频数据转换为电信号，并且将该电信号发送给扬声器211。
扬声器211，设置为将手机通过RF电路205从无线网络接收的语音信号，还原为声音并向用户播放该声音。
电源管理芯片208，设置为CPU202、I/O子系统及外设接口所连接的硬件进行供电及电源管理。
上述实施例中提供的终端设备的信息推荐装置及终端设备可执行本申请任意实施例所提供的终端设备的信息推荐方法，具备执行该方法相应的功能模块和有益效果。未在上述实施例中详尽描述的技术细节，可参见本申请任意实施例所提供的终端设备的信息推荐方法。
本申请实施例还提供一种包含终端设备可执行指令的存储介质，所述终端设备可执行指令在由终端设备处理器执行时用于执行一种信息推荐方法，该方法包括：
获取终端设备上传的用户信息，所述用户信息包括用户操作数据以及所述终端设备的本 地数据；
依据所述用户操作数据以及所述终端设备的本地数据对推荐信息集中的推荐信息进行筛选得到推荐内容，所述推荐信息集由至少两条推荐信息组成，且和所述终端设备相对应；
发送所述推荐内容至所述终端设备。
在一实施例中，所述依据所述用户操作数据以及所述终端设备的本地数据对推荐信息集中的推荐信息进行筛选得到推荐内容包括：
依据所述用户的登录信息、关注信息或浏览信息中的至少一种以及所述终端设备本地安装的应用程序对推荐信息集中的推荐信息进行筛选得到推荐内容。
在一实施例中，所述依据所述用户操作数据以及所述终端设备的本地数据对推荐信息集中的推荐信息进行筛选包括：
依据所述用户操作数据以及所述终端设备的本地数据确定推荐信息集中的推荐信息的级别，依据所述级别进行推荐内容的筛选。
在一实施例中，在所述依据所述用户操作数据以及所述终端设备的本地数据对推荐信息集中的推荐信息进行筛选得到推荐内容之前，还包括：
依据数据库中存储的推荐内容确定和所述终端设备对应的推荐信息集。
在一实施例中，所述依据数据库中存储的推荐内容确定和所述终端设备对应的推荐信息集包括：
确定所述终端设备的地理位置；
依据数据库中存储的推荐内容以及所述地理位置确定和所述终端设备对应的推荐信息集。
在一实施例中，所述依据数据库中存储的推荐内容确定和所述终端设备对应的推荐信息集包括：
确定所述终端设备当前所处的场所；
依据数据库中存储的推荐内容以及所述场所确定和所述终端设备对应的推荐信息集。
在一实施例中，所述依据数据库中存储的推荐内容确定和所述终端设备对应的推荐信息集包括：
确定所述终端设备对应的使用者的用户属性；
依据数据库中存储的推荐内容以及所述用户属性确定和所述终端设备对应的推荐信息集。
存储介质——任何的各种类型的存储器设备或存储设备。术语“存储介质”旨在包括：安装介质，例如CD-ROM、软盘或磁带装置；计算机系统存储器或随机存取存储器，诸如DRAM、DDR RAM、SRAM、EDO RAM，兰巴斯(Rambus)RAM等；非易失性存储器，诸如闪存、磁介质(例如硬盘或光存储)；寄存器或其它相似类型的存储器元件等。存储介质可以还包括其 它类型的存储器或其组合。另外，存储介质可以位于程序在其中被执行的第一计算机系统中，或者可以位于不同的第二计算机系统中，第二计算机系统通过网络(诸如因特网)连接到第一计算机系统。第二计算机系统可以提供程序指令给第一计算机用于执行。术语“存储介质”可以包括可以驻留在不同位置中(例如在通过网络连接的不同计算机系统中)的两个或更多存储介质。存储介质可以存储可由一个或多个处理器执行的程序指令(例如具体实现为计算机程序)。
当然，本申请实施例所提供的一种包含计算机可执行指令的存储介质，其计算机可执行指令不限于如上所述的信息推荐方法操作，还可以执行本申请任意实施例所提供的信息推荐方法中的相关操作。
本实施例在上述各实施例的基础上提供了一种服务器，图10是本申请实施例提供的一种服务器的结构示意图，如图10所示，该服务器300包括：存储器301、处理器(Central Processing Unit，CPU)302，其中存储器301中存储有被处理器302执行的计算机程序，该计算机程序用于实现上述实施例提供的信息推荐方法。

Claims (20)

  1. 一种信息推荐方法，包括：
    获取终端设备上传的用户信息，所述用户信息包括用户操作数据以及所述终端设备的本地数据；
    依据所述用户操作数据以及所述终端设备的本地数据对推荐信息集中的推荐信息进行筛选得到推荐内容，所述推荐信息集由至少两条推荐信息组成，且和所述终端设备相对应；
    发送所述推荐内容至所述终端设备。
  2. 根据权利要求1所述的方法，其中，所述依据所述用户操作数据以及所述终端设备的本地数据对推荐信息集中的推荐信息进行筛选得到推荐内容包括：
    依据所述用户的登录信息、关注信息或浏览信息中的至少一种以及所述终端设备本地安装的应用程序对推荐信息集中的推荐信息进行筛选得到推荐内容。
  3. 根据权利要求1所述的方法，其中，所述依据所述用户操作数据以及所述终端设备的本地数据对推荐信息集中的推荐信息进行筛选包括：
    依据所述用户操作数据以及所述终端设备的本地数据确定推荐信息集中的推荐信息的级别，依据所述级别对推荐信息集中的推荐信息进行筛选得到推荐内容。
  4. 根据权利要求1-3中任一项所述的方法，其中，在所述依据所述用户操作数据以及所述终端设备的本地数据对推荐信息集中的推荐信息进行筛选得到推荐内容之前，还包括：
    依据数据库中存储的推荐内容确定和所述终端设备对应的推荐信息集。
  5. 根据权利要求4所述的方法，其中，所述依据数据库中存储的推荐内容确定和所述终端设备对应的推荐信息集包括：
    确定所述终端设备的地理位置；
    依据数据库中存储的推荐内容以及所述地理位置确定和所述终端设备对应的推荐信息集。
  6. 根据权利要求4所述的方法，其中，所述依据数据库中存储的推荐内容确定和所述终端设备对应的推荐信息集包括：
    确定所述终端设备当前所处的场所；
    依据数据库中存储的推荐内容以及所述场所确定和所述终端设备对应的推荐信息集。
  7. 根据权利要求4所述的方法，其中，所述依据数据库中存储的推荐内容确定和所述终端设备对应的推荐信息集包括：
    确定所述终端设备对应的使用者的用户属性；
    依据数据库中存储的推荐内容以及所述用户属性确定和所述终端设备对应的推荐信息集。
  8. 根据权利要求1-7中任一项所述的方法，其中，所述发送所述推荐内容至所述终端设备包括：
    检测到所述终端设备满足预设推送条件时，发送所述推荐内容至所述终端设备，所述预设推送条件包括下述至少一种：
    所述终端设备上传的用户信息发生变化；
    所述终端设备的显示屏界面进入信息推荐界面；
    所述终端设备触发下载任务。
  9. 根据权利要求8所述的方法，其中，当所述预设推送条件包括所述移动终端的显示屏进入信息推荐界面时，检测所述终端设备满足预设推送条件，包括：
    检测所述移动终端是否触发信息推送事件或调用信息推荐界面控件；
    若所述移动终端触发信息推送事件或调用信息推荐界面控件，则确定所述移动终端的显示屏界面进入所述信息推荐界面。
  10. 一种信息推荐装置，包括：
    获取模块，设置为获取终端设备上传的用户信息，所述用户信息包括用户操作数据以及所述终端设备的本地数据；
    推荐信息确定模块，设置为依据所述用户操作数据以及所述终端设备的本地数据对推荐信息集中的推荐信息进行筛选得到推荐内容，所述推荐信息集由至少两条推荐信息组成；
    发送模块，设置为发送所述推荐内容至所述终端设备。
  11. 根据权利要求10所述的装置，其中，所述推荐信息确定模块设置为：
    依据所述用户的登录信息、关注信息或浏览信息中的至少一种以及所述终端设备本地安装的应用程序对推荐信息集中的推荐信息进行筛选得到推荐内容。
  12. 根据权利要求10所述的装置，其中，所述推荐信息确定模块设置为：
    依据所述用户操作数据以及所述终端设备的本地数据确定推荐信息集中的推荐信息的级别，依据所述级别对推荐信息集中的推荐信息进行筛选得到推荐内容。
  13. 根据权利要求10-12所述的装置，其中，
    所述推荐信息集确定模块，设置为在所述依据所述用户操作数据以及所述终端设备的本地数据对推荐信息集中的推荐信息进行筛选得到推荐内容之前，依据数据库中存储的推荐内容确定和所述终端设备对应的推荐信息集。
  14. 根据权利要求13所述的装置，其中，所述推荐信息集确定模块还设置为：
    确定所述终端设备的地理位置；
    依据数据库中存储的推荐内容以及所述地理位置确定和所述终端设备对应的推荐信息集。
  15. 根据权利要求13所述的装置，其中，所述推荐信息集确定模块还设置为：
    确定所述终端设备当前所处的场所；
    依据数据库中存储的推荐内容以及所述场所确定和所述终端设备对应的推荐信息集。
  16. 根据权利要求13所述的装置，其中，所述推荐信息集确定模块还设置为：
    确定所述终端设备对应的使用者的用户属性；
    依据数据库中存储的推荐内容以及所述用户属性确定和所述终端设备对应的推荐信息集。
  17. 根据权利要求10-16中任一项所述的装置，其中，所述发送模块还设置为：
    检测到所述终端设备满足预设推送条件时，发送所述推荐内容至所述终端设备，所述预设推送条件包括下述至少一种：
    所述终端设备上传的用户信息发生变化；
    所述终端设备的显示屏界面进入信息推荐界面；
    所述终端设备触发下载任务。
  18. 根据权利要求17所述的方法，其中，所述推荐信息发送模块还设置为：
    检测所述移动终端是否触发信息推送事件或调用信息推荐界面控件；
    若所述移动终端触发信息推送事件或调用信息推荐界面控件，则确定所述移动终端的显示屏界面进入所述信息推荐界面。
  19. 一种终端设备，包括：处理器、存储器以及存储在存储器上并可在处理器上运行的计算机程序，其中，所述处理器执行所述计算机程序时实现如权利要求1-9中任一项所述的信息推荐方法。
  20. 一种包含终端设备可执行指令的存储介质，其中，所述终端设备可执行指令在由终端设备处理器执行时设置为执行如权利要求1-9中任一项所述的信息推荐方法。
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