WO2019037599A1 - Procédé et dispositif de recommandation d'informations, terminal mobile et support d'informations - Google Patents

Procédé et dispositif de recommandation d'informations, terminal mobile et support d'informations Download PDF

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Publication number
WO2019037599A1
WO2019037599A1 PCT/CN2018/099383 CN2018099383W WO2019037599A1 WO 2019037599 A1 WO2019037599 A1 WO 2019037599A1 CN 2018099383 W CN2018099383 W CN 2018099383W WO 2019037599 A1 WO2019037599 A1 WO 2019037599A1
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Prior art keywords
information
mobile terminal
recommendation
location information
data set
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PCT/CN2018/099383
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English (en)
Chinese (zh)
Inventor
严婷
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Oppo广东移动通信有限公司
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Publication of WO2019037599A1 publication Critical patent/WO2019037599A1/fr

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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
    • G06F16/9537—Spatial or temporal dependent retrieval, e.g. spatiotemporal queries
    • 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

Definitions

  • the embodiments of the present application relate to computer technologies, for example, to an information recommendation method and apparatus, a mobile terminal, and a storage medium.
  • a user when a mobile terminal is used, a user usually receives recommendation information, such as an application recommendation list sent by a server or other mobile terminal, but the related information recommendation content is not targeted, and the conversion rate is low after being recommended to the user. .
  • the application provides an information recommendation method and device, a mobile terminal and a storage medium, which improves the information recommendation efficiency, and improves the conversion rate of the recommendation information, and is more targeted.
  • An embodiment of the present application provides a method for recommending information, including: acquiring location information uploaded by a mobile terminal, determining corresponding location information according to the location information and the map data; determining corresponding corresponding according to the location information and the stored recommended data set. Recommendation information; sending the recommendation information to the mobile terminal.
  • the embodiment of the present application further provides an information recommendation apparatus, including:
  • a data acquisition module configured to obtain location information uploaded by the mobile terminal
  • the first information determining module is configured to determine corresponding location information according to the location information and the map data;
  • a second information determining module configured to determine corresponding recommendation information according to the location information and the stored recommended data set
  • the recommendation information sending module is configured to send the recommendation information to the mobile terminal.
  • the embodiment of the present application further provides a mobile terminal, 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 mobile terminal 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 executable instructions of a mobile terminal, where the executable instructions of the mobile terminal are set to execute the information recommendation method described in the embodiment of the present application when executed by the mobile terminal processor.
  • FIG. 1 is a flowchart of an information recommendation method according to an embodiment of the present application.
  • FIG. 2 is a schematic diagram of determining location information according to location information and map data according to an embodiment of the present application
  • FIG. 3 is a schematic diagram of an interface for displaying recommendation information according to an embodiment of the present application.
  • FIG. 4 is a schematic diagram of another 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 flowchart of another information recommendation method according to an embodiment of the present application.
  • FIG. 9 is a structural block diagram of an information recommendation apparatus according to an embodiment of the present application.
  • FIG. 10 is a schematic structural diagram of a mobile terminal according to an embodiment of the present disclosure.
  • FIG. 11 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 be explicitly and implicitly aware that the embodiments described herein can be combined with other embodiments.
  • FIG. 1 is a flowchart of a method for recommending information provided by an embodiment of the present application.
  • the method may be applicable to a mobile terminal or a server provided by the embodiment of the present application.
  • the information recommendation device of the mobile terminal can be implemented by means of software and/or hardware.
  • the solution provided in this embodiment includes steps S101-S103.
  • step S101 location information uploaded by the mobile terminal is acquired, and corresponding location information is determined according to the location information and the map data.
  • the location information may be Global Positioning System (GPS) data uploaded by the mobile terminal. After the mobile terminal turns on the GPS positioning function, the GPS data of the mobile terminal is obtained, and the GPS data represents the current location of the mobile terminal.
  • GPS data may include the latitude of the mobile terminal (the format is ddmm. Mmmm), longitude (in the format dddmm.mmmm) and height from sea level (range -9999.9 meters to 9999.9 meters).
  • the location information includes the category of the venue, such as a library, a shopping mall, and a gym.
  • determining the corresponding location information according to the location information and the map data comprises: determining corresponding location information according to the location information and the map data provided by the third party.
  • mapping the location information to the map data According to the location marked in the map data, the location information of the location where the mobile terminal is located is determined.
  • the acquired location information of the mobile terminal is longitude x, latitude y, and altitude z.
  • the location corresponding to the geographic coordinates of the longitude x and the latitude y is searched in the map data, as shown in FIG. 2 2 is a schematic diagram of determining location information according to location information and map data according to an embodiment of the present application. If the determined mobile terminal is located in a library building, the corresponding location information is a library.
  • step S102 corresponding recommendation information is determined according to the location information and the stored recommendation data set.
  • the recommendation data set records the mapping information of different venue information and corresponding applications, as exemplified in Table 1 below.
  • the corresponding recommended application to be recommended is the application e, the application f, and the application g according to the recommended data set.
  • the application e, the application f, and the application g are all fitness related applications (Application, APP).
  • the method before determining the corresponding recommendation information according to the location information and the stored recommendation data set, the method further includes: determining attribute information of the application to be recommended, where the attribute information includes a category of the application; The attribute information generates a recommendation data set associated with the location information.
  • the degree of association of each application and the corresponding location information is obtained by machine learning the attribute information and the location information of the determined plurality of applications, and the recommended data set is generated according to the degree of association.
  • unsupervised learning can be employed to determine the degree of association of application and venue information.
  • an application that is more relevant to location information association may employ a semi-supervised machine learning approach to obtain a recommended data set.
  • the restaurant/restaurant/restaurant may be identified as being associated with the catering app with a high degree of association.
  • the learning process may employ a Graph Inference algorithm or a Laplacian SVM algorithm or the like.
  • step S103 when it is detected that the mobile terminal meets the preset pushing condition, the recommendation information is sent to the mobile terminal.
  • the mobile terminal satisfies the preset push condition, including at least one of the following: the location information of the mobile terminal is changed; the display interface of the mobile terminal enters the information recommendation interface; The terminal triggers the download task.
  • the GPS data of the mobile terminal may be acquired in real time, and when the location information of the mobile terminal changes according to the GPS data, such as changing from a library to a stadium, or changing from a residential area to a shopping mall, triggering information Push.
  • it may be detected that the display interface of the mobile terminal enters the information recommendation interface to trigger information push.
  • the determination that the display screen enters the information recommendation interface may determine whether to enter the information recommendation interface by detecting whether the mobile terminal triggers an information push event or invokes an information recommendation interface control.
  • information recommendation may be performed when detecting that the mobile terminal triggers a download task, so that the user of the second terminal obtains more downloadable content.
  • the determined location is the location E
  • the recommended data sets and the applications corresponding to the location E are E1, E2, E3, and E4
  • the determined recommendation information may be an application icon including the applications E1-E4. List.
  • FIG. 3 is a schematic diagram of an interface for displaying recommendation information according to an embodiment of the present application.
  • the application icon list is pushed to a second terminal in a separate page manner, where the application a-application h To determine the recommended app to the user.
  • FIG. 4 is a schematic diagram of another interface for displaying recommendation information according to an embodiment of the present application.
  • the recommendation information may also be displayed as additional information in any display interface of the mobile terminal. For example, it is displayed in a news browsing interface, wherein the application a-application d is the determined application recommended to the user.
  • the location information uploaded by the mobile terminal and the location data of the mobile terminal are determined by combining the map data, and the corresponding recommendation information is determined according to the location and the recommended data set, wherein the recommended data set is an application obtained by the machine learning algorithm.
  • the association mapping relationship between the program and the place improves the push efficiency of the push information, avoids the blind push, and significantly improves the information conversion rate of the push information content, such as: the application included in the push information by the user who receives the push information Download and install, convenient for the user's daily life, in line with user needs.
  • FIG. 5 is a flowchart of another information recommendation method provided by an embodiment of the present application.
  • the acquiring location information uploaded by the mobile terminal includes: acquiring location information uploaded by the mobile terminal within a preset duration; and if determining at least two corresponding location information according to the location information and the map data, Before determining the corresponding recommendation information according to the location information and the stored recommended data set, the method further includes: acquiring, by the mobile terminal, a stay time of the location corresponding to the at least two location information; Determining the corresponding recommendation information by the stored recommendation data set includes: determining corresponding recommendation information according to the stay time, the location information, and the stored recommendation data set. As shown in FIG. 5, the following steps S201-S205 are included.
  • step S201 the location information uploaded by the mobile terminal in the preset duration is acquired, and the corresponding location information is determined according to the location information and the map data.
  • the preset duration may be 1 hour, 3 hours, 5 hours, or 8 hours, and the like.
  • the location information uploaded by the mobile terminal is acquired once every 5 minutes, and the preset duration is continued, that is, the location trajectory of the mobile terminal is acquired and recorded for a period of time to determine the corresponding location of the mobile terminal by combining the map data. Location information.
  • step S202 it is determined whether the determined location information is consistent. If not, step S204 is performed, and if they are the same, step S203 is performed.
  • the location information does not change, if it is determined that the location of the mobile terminal is the same as the preset time, the location information is determined to be unchanged, and if different location information (such as a shopping mall and a library) is determined, the location is determined as a location. The information is inconsistent and has changed.
  • step S203 corresponding recommendation information is determined according to the location information and the stored recommendation data set.
  • step S204 the dwell time of the mobile terminal at the location corresponding to the at least two location information is obtained, and the corresponding recommendation information is determined according to the dwell time, the location information, and the stored recommended data set.
  • the acquired location information and the uploading time of the mobile terminal are recorded, and when the location information is determined according to the location information and the map data, the duration of the mobile terminal at the location may be determined according to the uploaded time information. time.
  • the location information uploaded by the mobile terminal is received at 3:00 pm
  • the location information determined according to the location information is a swimming pool
  • the location information is determined once every 10 minutes, and a new one is determined at 4:30 pm.
  • Location information such as shopping malls, determines the stay time in the swimming pool is 1 hour and 30 minutes. Similarly, the time at which the mobile terminal is in the mall can be determined, assuming 20 minutes.
  • the determination is based on the residence time of different places, the location information, and the recommended data set.
  • different weights may be assigned to the corresponding places according to different dwell times, and the longer the dwell time is, the greater the weight is (for example, the dwell time is 1 hour, the corresponding weight is 1, 2 hours, the corresponding weight is 2, 0.5) If the hour corresponds to the weight value of 0.5), the recommendation content in the recommendation information and the degree of association with the place are larger, thereby making the recommendation information more reasonable.
  • step S205 when it is detected that the mobile terminal meets the preset pushing condition, the recommendation information is sent to the mobile terminal.
  • the weight can be allocated according to the dwell time of different location information, and the longer the stay time, the greater the weight value.
  • the recommended information determined in the final combination with the recommended data set is more accurate and reasonable.
  • FIG. 6 is a flowchart of another information recommendation method according to an embodiment of the present disclosure.
  • the method further includes: determining download information of the application to be recommended. Determining the corresponding recommendation information according to the location information and the stored recommendation data set includes: determining corresponding recommendation information according to the download information, the location information, and the stored recommendation data set. As shown in FIG. 6, the following steps S301-S304 are included.
  • step S301 location information uploaded by the mobile terminal is acquired, and corresponding location information is determined according to the location information and the map data.
  • step S302 download information of the application to be recommended is determined.
  • the download information may be a geographic location where the mobile terminal is located when the application to be recommended is downloaded by a plurality of different mobile terminals, and the geographic location may be a province, a city, a district, or the like.
  • the download information may be determined when the mobile terminal downloads through the application mall or the supplier's official website.
  • when the download event is detected at least one of a network address, a GPS data, or a connected base station identifier of the mobile terminal corresponding to the download event is obtained, according to the network address, the GPS data, or the connected base station identifier. Determine the geographic location where the mobile terminal is located.
  • step S303 corresponding recommendation information is determined according to the download information, the location information, and the stored recommendation data set.
  • the download information is a geographic location
  • different to-be-recommended applications are associated with one or more geographic locations, as shown in Table 2 below.
  • determining the corresponding recommendation information according to the download information, the location information, and the stored recommendation data set may be: after determining the recommendation information according to the location information of the mobile terminal and the stored recommendation data set, recommending according to the download information Information is filtered.
  • the original recommendation information includes 20 applications, wherein the associated applications of the 10 applications having 10 applications are consistent with the current provinces of the mobile terminal to be received, and the 10 provinces are consistent.
  • the application composition recommendation information is sent to the mobile terminal.
  • step S304 when it is detected that the mobile terminal meets the preset pushing condition, the recommendation information is sent to the mobile terminal.
  • the download information of the application to be recommended is further combined with the filtering parameter, so that the recommended application and the geographical location of the mobile terminal receiving the recommendation information are consistent, thereby further improving the conversion of the recommendation information. rate.
  • FIG. 7 is a flowchart of another information recommendation method according to an embodiment of the present application.
  • the method further includes: determining a user attribute corresponding to the mobile terminal. Determining the corresponding recommendation information according to the location information and the stored recommendation data set includes: determining corresponding recommendation information according to the user attribute, the location information, and the stored recommendation data set. As shown in FIG. 7, the following steps S401-S304 are included.
  • step S401 location information uploaded by the mobile terminal is acquired, and corresponding location information is determined according to the location information and the map data.
  • step S402 a user attribute corresponding to the mobile terminal is determined.
  • the user attribute includes the age, gender, occupation, etc. of the user using the mobile terminal.
  • the user attribute may be determined by the information filled in by the user when registering using the mall download process, or may be machine learning of the usage record of the mobile terminal to determine user attributes, such as recording the location track of the mobile terminal, when on weekdays. If the working time determines that the location of the mobile terminal is an office building, the user may be deemed to be a white-collar employee; when the mobile terminal is located at a shopping mall or a cosmetics store on a rest day or night, the gender of the user is determined to be a female.
  • the user attribute may be recorded in the mobile terminal, and may be acquired when the recommendation information needs to be sent to the mobile terminal, or may be recorded on the recommendation information sending end, and the learned content is used as an attribute by learning the position trajectory of the mobile terminal. The information is saved.
  • step S403 corresponding recommendation information is determined according to the user attribute, the location information, and the stored recommendation data set.
  • the recommendation information in the recommended data set may be filtered based on user attributes. For example, in the process of determining the recommendation information according to the geographic location of the mobile terminal and the recommended data set, the recommended information obtained by the determination may be subjected to a new round of screening according to the user attribute, and the application that meets the user attribute is recommended to the user. . For example, when the determined application H is a shopping app and the application I is a sports app, if the user gender in the determined user attribute is male, the application I is used as the final recommendation information, if the user gender is female. , the application H is used as the final recommendation information.
  • the user attribute may be introduced in the process of determining the recommendation information according to the location information and the recommended data set, and the recommendation information is determined.
  • step S404 when it is detected that the mobile terminal meets the preset pushing condition, the recommendation information is sent to the mobile terminal.
  • the user attribute of the mobile terminal user is further combined, so that the recommendation information is closer to the user itself, and the conversion rate of the recommendation information is further improved.
  • FIG. 8 is a flowchart of another information recommendation method according to an embodiment of the present application.
  • the method further includes: acquiring the mobile terminal installation. Determining the corresponding recommendation information according to the location information and the stored recommendation data set includes: determining corresponding recommendation information according to the program list, the location information, and the stored recommendation data set. As shown in FIG. 8, the following steps S501-S504 are included.
  • step S501 location information uploaded by the mobile terminal is acquired, and corresponding location information is determined according to the location information and the map data.
  • step S502 a program list of the application installed in the mobile terminal is acquired.
  • the mobile terminal performs a statistical generation program listing on locally installed applications.
  • the list records the name, size, and download time of the installed application, and can be directly obtained from the program list.
  • the server/mobile terminal that determines the recommendation information records the application downloaded by each mobile terminal, generates a program list, and performs real-time maintenance on the program list, when it is required to recommend information to a mobile terminal. At the time, a list of programs corresponding to the mobile terminal is obtained.
  • step S503 corresponding recommendation information is determined according to the program list, the location information, and the stored recommendation data set.
  • the recommendation information in the recommendation data set may be further filtered according to the category of the application installed in the program list, for example, in the process of determining the recommendation information according to the location information of the mobile terminal and the recommended data set. If there are multiple applications to be recommended, the program categories of the plurality of applications to be recommended are determined, and the application whose category and the application category in the application list are consistent is used as the recommendation information.
  • step S504 when it is detected that the mobile terminal meets the preset pushing condition, the recommendation information is sent to the mobile terminal.
  • the recommendation information is further filtered according to the program list in the mobile terminal to be recommended, so that the recommendation information is more in line with the user preference, and the conversion rate of the recommendation information is further improved.
  • FIG. 9 is a structural block diagram of an information recommendation apparatus according to an embodiment of the present application.
  • the apparatus is configured to perform the information recommendation method provided by the foregoing embodiment, and has a function module and a beneficial effect corresponding to the execution method.
  • the device specifically includes: a data acquiring module 101, a first information determining module 102, a second information determining module 103, and a recommendation information sending module 104.
  • the data obtaining module 101 is configured to obtain location information uploaded by the mobile terminal.
  • the first information determining module 102 is configured to determine corresponding location information according to the location information and the map data.
  • the second information determining module 103 is configured to determine corresponding recommendation information according to the location information and the stored recommended data set.
  • the recommendation information sending module 104 is configured to send the recommendation information to the mobile terminal.
  • the information recommendation device obtained by the embodiment obtains the location information uploaded by the mobile terminal, determines the corresponding location information according to the location information and the map data, and determines the corresponding recommendation information according to the location information and the stored recommended data set. Sending the recommendation information to the mobile terminal improves the information recommendation efficiency, so that the conversion rate of the recommendation information is improved, and the targeting is stronger.
  • the first information determining module 102 is further configured to: before determining the corresponding recommendation information according to the location information and the stored recommended data set, determining attribute information of the application to be recommended, The attribute information includes a category of the application; and a recommendation data set associated with the location information is generated according to the attribute information.
  • the data acquisition module 101 is configured to:
  • the first information determining module 102 is further configured to: if the at least two corresponding location information are determined according to the location information and the map data, determine a corresponding recommendation according to the location information and the stored recommended data set. Acquiring, before the information, the staying time of the mobile terminal in the location corresponding to the scenario location information corresponding to the at least two location information;
  • the second information determining module 103 is configured to: determine corresponding recommendation information according to the stay time, the location information, and the stored recommended data set.
  • the recommendation information sending module 104 is configured to:
  • the recommendation information sending module 104 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, Then determining that the display interface of the mobile terminal enters the information recommendation interface.
  • the first information determining module 102 is further configured to: before determining the corresponding recommendation information according to the location information and the stored recommended data set, determining download information of the application to be recommended;
  • the second information determining module 103 is configured to: determine corresponding recommendation information according to the download information, the location information, and the stored recommended data set.
  • the download information is a geographic location in which the plurality of mobile terminals are located when the application to be recommended is downloaded by a plurality of the mobile terminals.
  • the first information determining module 102 is further configured to: determine a user attribute corresponding to the mobile terminal before determining corresponding recommendation information according to the location information and the stored recommended data set;
  • the second information determining module 103 is configured to:
  • Corresponding recommendation information is determined according to the user attribute, the location information, and the stored recommendation data set.
  • the first information determining module 102 is further configured to: acquire the application installed in the mobile terminal before determining the corresponding recommendation information according to the location information and the stored recommended data set.
  • Program list is further configured to: acquire the application installed in the mobile terminal before determining the corresponding recommendation information according to the location information and the stored recommended data set.
  • the second information determining module 103 is configured to determine corresponding recommendation information according to the program list, the location information, and the stored recommended data set.
  • FIG. 10 is a schematic structural diagram of a mobile terminal according to an embodiment of the present disclosure.
  • the mobile terminal 200 includes: a memory 201, a central processing unit (CPU) 202, a peripheral interface 203, and a radio frequency ( Radio Frequency, RF) circuit 205, audio circuit 206, speaker 211, power management chip 208, input/output (I/O) subsystem 209, touch screen 212, other input/control devices 210, and external port 204, Or a plurality of communication buses or signal lines 207 to communicate.
  • RF Radio Frequency
  • the illustrated mobile terminal 200 is merely one example of a mobile terminal, and that the mobile terminal 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 mobile terminal for rights management of the multi-open application provided in this embodiment is described in detail below.
  • the mobile terminal 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 used for establishing communication between the mobile phone and the wireless network (ie, the network side), and realizing 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.
  • CDDEC codec CODER-DECoder
  • 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 provide power and power management for the hardware connected to the CPU 202, the I/O subsystem, and the peripheral interface.
  • the information recommendation device and the mobile terminal of the mobile terminal provided in the foregoing embodiments may perform the information recommendation method of the mobile terminal 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 mobile terminal provided by any embodiment of the present application may perform the information recommendation method of the mobile terminal provided by any embodiment of the present application, and have the corresponding functional modules and beneficial effects of performing the method.
  • the embodiment of the present application further provides a storage medium including executable instructions of a mobile terminal, where the executable instructions of the mobile terminal are set to execute an information recommendation method when executed by a mobile terminal processor, the method comprising:
  • the method before determining the corresponding recommendation information according to the location information and the stored recommendation data set, the method further includes: determining attribute information of the application to be recommended, where the attribute information includes a category of the application; The attribute information generates a recommendation data set associated with the location information.
  • the acquiring location information uploaded by the mobile terminal includes: acquiring location information uploaded by the mobile terminal within a preset duration;
  • the method further includes: acquiring, by the mobile terminal, The at least two location information corresponds to a stay time of the location corresponding to the scene location information;
  • the determining the corresponding recommendation information according to the location information and the stored recommendation data set includes: determining corresponding recommendation information according to the stay time, the location information, and the stored recommendation data set.
  • the sending the recommendation information to the mobile terminal comprises: when detecting that the mobile terminal meets a preset push condition, sending the recommendation information to the mobile terminal, where the mobile terminal meets a pre-
  • the pushing condition includes at least one of the following: the location information of the mobile terminal is changed; the display interface of the mobile terminal enters the information recommendation interface; and the mobile terminal triggers the download task.
  • the method before determining the corresponding recommendation information according to the location information and the stored recommended data set, the method further includes: determining download information of the application to be recommended;
  • the determining the corresponding recommendation information according to the location information and the stored recommendation data set includes: determining corresponding recommendation information according to the download information, the location information, and the stored recommendation data set.
  • the method before determining the corresponding recommendation information according to the location information and the stored recommended data set, the method further includes: determining a user attribute corresponding to the mobile terminal;
  • the determining the corresponding recommendation information according to the location information and the stored recommendation data set includes: determining corresponding recommendation information according to the user attribute, the location information, and the stored recommendation data set.
  • the method before determining the corresponding recommendation information according to the location information and the stored recommendation data set, the method further includes: acquiring a program list of the application installed in the mobile terminal;
  • the determining the corresponding recommendation information according to the location information and the stored recommendation data set includes: determining corresponding recommendation information according to the program list, the location information, and the stored recommendation data set.
  • 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. 11 is a schematic structural diagram of a server according to an embodiment of the present disclosure.
  • the server 300 includes: a memory 30l 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.
  • CPU central processing unit

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  • Engineering & Computer Science (AREA)
  • Databases & Information Systems (AREA)
  • Theoretical Computer Science (AREA)
  • Data Mining & Analysis (AREA)
  • Physics & Mathematics (AREA)
  • General Engineering & Computer Science (AREA)
  • General Physics & Mathematics (AREA)
  • Information Transfer Between Computers (AREA)

Abstract

La présente invention concerne un procédé et un dispositif de recommandation d'informations, un terminal mobile et un support d'informations. Le procédé comprend les étapes qui consistent : à acquérir des informations de localisation téléchargées vers l'amont par le terminal mobile, à déterminer un lieu correspondant en fonction des informations de localisation et de données cartographiques ; à déterminer des informations de recommandation correspondantes selon des informations de lieu et un ensemble de données de recommandation mémorisé ; et à envoyer les informations de recommandation au terminal mobile.
PCT/CN2018/099383 2017-08-23 2018-08-08 Procédé et dispositif de recommandation d'informations, terminal mobile et support d'informations WO2019037599A1 (fr)

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CN108363733A (zh) * 2018-01-17 2018-08-03 阿里巴巴集团控股有限公司 内容推荐方法及装置
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CN114282126B (zh) * 2022-03-01 2022-05-27 阿里健康科技(中国)有限公司 信息推荐方法、装置、介质及设备

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