WO2018133231A1 - 智能处理应用事件的方法与装置 - Google Patents

智能处理应用事件的方法与装置 Download PDF

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Publication number
WO2018133231A1
WO2018133231A1 PCT/CN2017/081695 CN2017081695W WO2018133231A1 WO 2018133231 A1 WO2018133231 A1 WO 2018133231A1 CN 2017081695 W CN2017081695 W CN 2017081695W WO 2018133231 A1 WO2018133231 A1 WO 2018133231A1
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WO
WIPO (PCT)
Prior art keywords
user
application
terminal
data
event
Prior art date
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PCT/CN2017/081695
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English (en)
French (fr)
Inventor
雷正雄
Original Assignee
华为技术有限公司
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by 华为技术有限公司 filed Critical 华为技术有限公司
Priority to CN201780003453.1A priority Critical patent/CN108235810B/zh
Priority to US16/479,679 priority patent/US20210097109A1/en
Priority to EP17893343.8A priority patent/EP3561698B1/en
Publication of WO2018133231A1 publication Critical patent/WO2018133231A1/zh

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    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/90Details of database functions independent of the retrieved data types
    • G06F16/903Querying
    • G06F16/90335Query processing
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/90Details of database functions independent of the retrieved data types
    • G06F16/903Querying
    • G06F16/9035Filtering based on additional data, e.g. user or group profiles
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F21/00Security arrangements for protecting computers, components thereof, programs or data against unauthorised activity
    • G06F21/30Authentication, i.e. establishing the identity or authorisation of security principals
    • G06F21/44Program or device authentication
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F9/00Arrangements for program control, e.g. control units
    • G06F9/06Arrangements for program control, e.g. control units using stored programs, i.e. using an internal store of processing equipment to receive or retain programs
    • G06F9/46Multiprogramming arrangements
    • G06F9/54Interprogram communication
    • G06F9/542Event management; Broadcasting; Multicasting; Notifications

Definitions

  • the present invention relates to the field of communications technologies, and in particular, to a method and apparatus for intelligently processing application events.
  • the purpose of the Assistant is to make it easier for users to access a variety of online information or services.
  • various intelligent assistants for example: Apple Siri, Google Assistant, Microsoft Xiaona Contana, Baidu Secret, etc.
  • Various instructions of the user According to the user's instructions, the information is queried to meet the user's needs.
  • the assistant includes two parts: the front end (client side) and the back end (cloud server side).
  • the front end understands the user's needs through the interactive mode of human-machine voice dialogue.
  • the back-end interfaces with many third-party services, such as providing information-based query services and task-based services.
  • the Assistant provides a human-machine dialogue to serve users.
  • these assistants also have the following defects: 1) passively providing information or services, that is, they can only provide corresponding information or services after the user issues a demand instruction; 2) the assistant cannot be connected with numerous applications or functions on the terminal. Interactions do not allow a full understanding of the user. Since the assistant cannot fully understand the user, even if the assistant completely determines the user's demand instruction through the man-machine dialogue mode, it is difficult to provide the most suitable service for the user and reduce the user experience.
  • the embodiment of the invention provides a method and a device for intelligently processing an application event, which realizes that the terminal interacts with an application or function on the terminal according to the authorization of the user, and replaces the user intelligently processing the application event to provide suitable information and services for the user. To improve the user experience.
  • an embodiment of the present invention provides a method for intelligently processing an application event, where the method includes:
  • the method before the receiving the management application authorization information input by the user, the method further includes:
  • the module forms virtual data on the user line that matches the user.
  • the method further includes:
  • the method further includes:
  • the method further includes: displaying an execution result of the application event.
  • an embodiment of the present invention provides a method for intelligently processing an application event, where the method includes:
  • the feedback message includes the event execution information
  • the event execution information is used to enable the terminal to perform corresponding execution on the application event.
  • the feedback message includes the event execution information, and the event execution information is used to enable the terminal to perform corresponding execution on the application event, and display an execution result.
  • the notification message further includes an identifier of the terminal
  • the method further includes:
  • the notification message further includes an identifier of the terminal
  • the method further includes:
  • an embodiment of the present invention provides an apparatus for intelligently processing an application event, which is applied to a terminal, where the apparatus includes:
  • a receiving unit configured to receive an application processing authorization instruction input by a user, where the application processing authorization instruction includes The identifier of the application in the terminal;
  • a first acquiring unit configured to access the application according to the identifier of the application, and obtain, from the application, application event information to be processed;
  • a sending unit configured to send a notification message to the cloud server, where the notification message includes the application event information
  • the receiving unit is further configured to receive a feedback message sent by the cloud server, where the feedback message includes event execution information of the application event information obtained by the cloud server according to virtual data on a user line;
  • an execution unit configured to perform corresponding execution on the application event according to the event execution information.
  • the receiving unit is further configured to receive an access application authorization instruction input by the user, where the access application authorization instruction includes the application Identification of the program;
  • the device further includes: a determining unit, configured to determine, when the device detects that the application has been started, whether the application has been authorized to access the application;
  • a second acquiring unit configured to: if the device determines that the application is authorized to access the application, access the application according to the identifier of the application, and obtain user raw data in the application ;
  • a statistical unit configured to perform statistical processing on the original data of the user to obtain user feature data
  • the sending unit is further configured to send the user feature data to the cloud server according to a preset sending rule, so that the cloud server sends the user feature data to the big data system module, where the user feature data is
  • the macro data system module is configured to form virtual data on the user line that matches the user.
  • the apparatus further includes:
  • a determining unit configured to determine whether the application has stopped running
  • the second obtaining unit is further configured to stop acquiring user raw data in the application if the application has stopped running.
  • the statistic unit is specifically configured to determine a common feature of the user original data
  • the user raw data is statistically processed by using the common feature to obtain the user feature data.
  • the device further includes: a display unit, configured to display an execution result of the application event.
  • an embodiment of the present invention provides an apparatus for intelligently processing an application event, which is applied to a server, where the apparatus includes:
  • a receiving unit configured to receive a notification message sent by the terminal, where the notification message includes application event information to be processed by the application in the terminal;
  • An obtaining unit configured to obtain event execution information of the application event information according to the stored virtual data of the user line;
  • a sending unit configured to send a feedback message to the terminal, where the feedback message includes the event execution information, where the event execution information is used to enable the terminal to perform corresponding execution on the application event.
  • the receiving unit is further configured to: receive user feature data sent by the terminal;
  • the sending unit is further configured to send the user feature data to a big data system module
  • the receiving unit is further configured to: receive, by the big data system module, perform statistical classification on the user feature data.
  • User-lined virtual data that matches the user formed after processing;
  • the device further includes: a storage unit, configured to perform storage processing on the virtual data on the user line.
  • the notification message received by the receiving unit further includes an identifier of the terminal
  • the obtaining unit is further configured to acquire, according to the identifier of the terminal, the virtual data of the user line that matches the identifier of the terminal.
  • the user online virtual data stored by the storage unit includes a user portrait, user association information, and user behavior information
  • the obtaining unit is specifically configured to determine, according to the application event information, the event execution information that matches the application event information from the user portrait, the user association information, and the user behavior information.
  • an embodiment of the present invention provides a terminal, where the terminal includes: a radio frequency module, a processor, a touch screen controller, and a touch display screen;
  • the touch display screen is configured to receive an application processing authorization instruction input by a user, and transmit the application processing authorization instruction to the touch screen controller, where the application processing authorization instruction includes an identifier of an application in the terminal;
  • the touch screen controller is configured to receive the application processing authorization instruction transmitted by the touch display screen and transmit the application processing authorization instruction to the processor;
  • the processor is configured to receive the application processing authorization instruction transmitted by the touch screen controller, access the application according to the identifier of the application, and obtain an application event to be processed from the application information;
  • the processor is further configured to generate a notification message and transmit the notification message to the radio frequency module, where the notification message includes the application event information;
  • the radio frequency module is configured to receive the notification message transmitted by the processor, and send the notification message to a cloud server; receive a feedback message sent by the cloud server, and transmit the feedback message to the processor,
  • the feedback message includes event execution information of the application event information obtained by the cloud server according to virtual data on the user line;
  • the processor is further configured to receive the feedback message that is sent by the radio frequency module, and perform corresponding execution on the application event according to the event execution information.
  • the touch display screen is further configured to receive an access application authorization command input by a user and transmit an access application authorization command to the touch screen control
  • the access application authorization instruction includes an identifier of the application
  • the touch screen controller is further configured to receive the access application authorization instruction transmitted by the touch display screen and transmit the access application authorization instruction to the processor;
  • the processor is further configured to receive the access application authorization instruction transmitted by the touch screen controller, detect whether the application is started, and determine whether the application has been started when it is detected that the application has been started.
  • the user is authorized to access the application, if it is determined that the user has been authorized to access the application, accessing the application according to the identifier of the application, and acquiring user raw data in the application, Performing statistical processing on the user raw data, obtaining user feature data, and transmitting the user feature data to the radio frequency module;
  • the radio frequency module is further configured to receive the user feature data transmitted by the processor, and send the user feature data to the cloud server according to a preset sending rule, so that the cloud server is to the big data system.
  • the module sends the user feature data, and the user feature data is used to cause the big data system module to form virtual data on the user line that matches the user.
  • the processor is further configured to determine whether the application has stopped running, if the application has stopped running, Then, the acquisition of the user raw data in the application is stopped.
  • the processor is further configured to determine a common feature of the user original data, and use the common data of the user The feature performs statistical processing on the user raw data to obtain the user feature data.
  • the processor is further configured to: transmit an execution result of the application event to the touch screen controller;
  • the touch screen controller is further configured to receive the execution result transmitted by the processor and transmit the execution result to the touch display screen;
  • the touch display screen is further configured to receive the execution result transmitted by the touch screen controller and display the execution result.
  • an embodiment of the present invention provides a cloud server, where the cloud server includes:
  • a receiver configured to receive a notification message sent by the terminal, where the notification message includes application event information to be processed by the application in the terminal;
  • a processor configured to obtain event execution information of the application event information according to the stored virtual data of the user line;
  • a transmitter configured to send a feedback message to the terminal, where the feedback message includes the event execution information, where the event execution information is used to enable the terminal to perform corresponding execution on the application event according to the event execution information.
  • the receiver is further configured to receive user feature data sent by the terminal;
  • the transmitter is further configured to send the user feature data to a big data system module
  • the receiver is further configured to: receive virtual data on the user line that is matched with the user formed by performing statistical categorization processing on the user feature data by the big data system module;
  • the processor is further configured to perform storage processing on the virtual data on the user line.
  • the notification message received by the receiver further includes an identifier of the terminal
  • the processor is further configured to acquire, according to the identifier of the terminal, the virtual data of the user line that matches the identifier of the terminal.
  • the user online virtual data includes a user portrait, user association information, and user behavior information
  • the processor is further configured to determine, according to the application event information, the event execution information that matches the application event information from the user portrait, the user association information, and the user behavior information.
  • an embodiment of the present invention provides a computer readable storage medium, where the computer readable storage medium stores a computer program, and the computer program is executed by a processor included in the terminal, as described in the foregoing aspects. method.
  • an embodiment of the present invention provides a computer readable storage medium, where the computer readable storage medium stores a computer program, where the computer program is executed by a processor included in the cloud server, as described in the foregoing aspects.
  • the solution provided by the embodiment of the present invention prevents the intelligent assistant in the prior art from providing information or service only after the user issues the demand instruction, and cannot interact with the application or function on the terminal.
  • the terminal Providing the most suitable service for the user, the terminal interacts with the application or function on the terminal according to the authorization of the user, replaces the user to process the application event, provides suitable information and service for the user, and improves the user experience.
  • FIG. 1 is a schematic structural diagram of a system for intelligently processing an application event according to an embodiment of the present invention
  • FIG. 2 is a schematic structural diagram of a terminal according to an embodiment of the present invention.
  • FIG. 3 is a schematic structural diagram of a cloud server according to an embodiment of the present disclosure.
  • FIG. 4 is a schematic diagram of a smart assistant client in a terminal and a cloud server according to an embodiment of the present invention
  • FIG. 5 is a flowchart of a method for intelligently processing an application event according to an embodiment of the present invention
  • FIG. 6 is a flowchart of another method for intelligently processing an application event according to an embodiment of the present invention.
  • FIG. 7 is a flowchart of collecting and analyzing data of a first intelligent assistant client according to an embodiment of the present invention.
  • FIG. 8 is a flowchart of forming virtual data of a user on a second intelligent assistant client according to an embodiment of the present invention.
  • FIG. 9 is a flowchart of an intelligent assistant client intelligent processing application event according to an embodiment of the present invention.
  • FIG. 10 is a schematic structural diagram of an apparatus for intelligently processing an application event according to an embodiment of the present invention.
  • FIG. 11 is a schematic structural diagram of another apparatus for intelligently processing an application event according to an embodiment of the present invention.
  • FIG. 1 is a schematic structural diagram of a system for intelligently processing an application event according to an embodiment of the present invention.
  • the system architecture provided by the embodiment of the present invention is composed of multiple terminals and a cloud server.
  • the terminal may be a smart terminal having a function of transmitting, receiving, processing, and displaying a message
  • the smart terminal may include a smart phone, a tablet, a wearable device, and the like.
  • a plurality of terminals access the cloud server through a wireless network.
  • the cloud server can communicate with the terminal for communication.
  • the cloud server sends a control command to the terminal, the execution result sent by the receiving terminal, and the like.
  • the terminal processes the authorization instruction according to the application input by the user, accesses the application, and acquires the application event information to be processed from the application.
  • the terminal sends the application event information to the cloud server, and the terminal performs the corresponding execution of the application event according to the event execution information fed back by the cloud server, and displays the execution result. It implements interaction with the application or function on the terminal according to the authorization of the user, replaces the user to process the application event, provides appropriate information and services for the user, and improves the user experience.
  • FIG. 2 is a schematic structural diagram of a terminal according to an embodiment of the present invention.
  • the terminal 200 can include a baseband chip 210, a memory 215 (one or more computer readable storage media), a radio frequency (RF) module 216, and a peripheral system 217. These components can communicate over one or more communication buses 214.
  • a baseband chip 210 one or more computer readable storage media
  • a radio frequency (RF) module 216 one or more computer readable storage media
  • RF radio frequency
  • the peripheral system 217 is primarily used to implement interactive functions between the control device 200 and the user/external environment, including the input and output devices of the control device 200.
  • the peripheral system 217 can include a touch screen controller 218, a camera controller 219, an audio controller 220, and a sensor management module 221.
  • each controller can be used with each Coupling is provided from corresponding peripheral devices such as touch display 222, camera 223, audio circuit 224, and sensor 225.
  • camera 223 can be a 3D camera.
  • the peripheral system 217 may also include other I/O peripherals.
  • the touch display 222 can be used to display information entered by a user or to present information to a user. For example, various menus of the control device 200, an interface showing the running application, can be displayed. For example, Button, Text, Scroll Bar, Menu, and so on.
  • the touch display screen 222 can include a touch panel and a display panel.
  • the display panel can be configured in the form of a liquid crystal display (English: Liquid Crystal Display, LCD for short) or an organic light-emitting diode (English: Organic Light-Emitting Diode, OLED for short). Further, the touch panel may cover the display panel.
  • the touch panel When the touch panel detects a touch operation on or near the touch panel, the touch panel transmits to the processor 211 to determine the type of the touch event, and then the processor 211 displays the type according to the touch event. A corresponding visual output is provided on the panel.
  • the touch panel and the display panel are two independent components to implement the input and output functions of the control device 200, but in some embodiments, the input and output of the control device 200 can be realized by integrating the touch panel with the display panel.
  • the baseband chip 210 can be integrated to include one or more processors 211, a clock module 212, and a power management module 213.
  • the clock module 212 integrated in the baseband chip 210 is primarily used to generate the clocks required for data transfer and timing control for the processor 211.
  • the power management module 213 integrated in the baseband chip 210 is mainly used to provide a stable, high-accuracy voltage for the processor 211, the radio frequency module 216, and the peripheral system.
  • a radio frequency (RF) module 216 is used to receive and transmit radio frequency signals, primarily integrating the receiver and transmitter of the control device 200.
  • a radio frequency (RF) module 216 communicates with the communication network and other communication devices via radio frequency signals.
  • radio frequency (RF) module 216 can include, but is 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 chip, a SIM Cards and storage media, etc.
  • a radio frequency (RF) module 216 can be implemented on a separate chip.
  • wireless transmission can be performed through the radio frequency module, such as Bluetooth (English: Bluetooth) transmission, wireless fidelity (English: WIreless-Fidelity, referred to as WI-FI) transmission, and third-generation mobile communication technology (English: 3rd) -Generation, referred to as: 3G) transmission, fourth-generation mobile communication technology (English: the 4th Generation mobile communication, referred to as: 4G) transmission, Zigbee protocol (Zigbee) and so on.
  • Bluetooth Bluetooth
  • WI-FI wireless fidelity
  • WI-FI third-generation mobile communication technology
  • 3G third-generation mobile communication technology
  • 4G fourth-generation mobile communication technology
  • Zigbee protocol Zigbee protocol
  • Memory 215 is coupled to processor 211 for storing various software programs and/or sets of instructions.
  • memory 215 can include high speed random access memory, and can also include non-volatile memory, such as one or more magnetic disk storage devices, flash memory devices, or other non-volatile solid state storage devices.
  • the memory 215 can store an operating system (hereinafter referred to as a system) such as an embedded operating system such as ANDROID, IOS, WINDOWS, or LINUX.
  • the memory 215 can also store a network communication program that can be used to communicate with one or more control devices.
  • the memory 215 can also store a user interface program, which can realistically display the content of the application through a graphical operation interface, and receive user control operations on the application through input controls such as menus, dialog boxes, and keys. .
  • the memory 215 can also store one or more applications. As shown in FIG. 2, these applications may include: social applications (such as Facebook), image management applications (such as photo albums), map applications (such as Google Maps), browsers (such as Safari, Google Chrome), etc. .
  • social applications such as Facebook
  • image management applications such as photo albums
  • map applications such as Google Maps
  • browsers such as Safari, Google Chrome
  • control device 200 provided by the embodiment of the present invention is only an example provided by the embodiment of the present invention, and the control device 200 may have more or less components than the components shown, and two or more components may be combined. Or can have There are different configurations of components implemented.
  • the terminal 200 provided by the foregoing embodiment is configured to perform a method for intelligently processing an application event in the embodiment of the present invention.
  • radio frequency module 216, the processor 211, the touch screen controller 218, and the touch display screen 223 described below implement the functions of the control device by invoking various software programs and/or sets of instructions in the memory 215.
  • the display screen 223 is touched, receives an application processing authorization command input by the user, and transmits an application processing authorization command to the touch screen controller 218.
  • the application processing authorization instruction includes an identifier of the application in the terminal.
  • the touch screen controller 218 receives the application processing authorization command transmitted by the touch display screen 223 and transmits an application processing authorization command to the processor 211.
  • the processor 211 receives an application processing authorization instruction transmitted by the touch screen controller 218, and acquires an identifier of the application from the application processing authorization instruction. According to the identification of the application, access the application, and obtain the application event information to be processed from the application.
  • the processor 211 generates a notification message, carries the application event information in the notification message, and transmits the notification message to the radio frequency module 216.
  • the radio frequency module 216 receives the notification message transmitted by the processor 211 and sends a notification message to the cloud server.
  • the notification message includes application event information.
  • the radio frequency module 216 receives the feedback message sent by the cloud server and transmits the feedback message to the processor 211.
  • the feedback message includes event execution information of the application event information obtained by the cloud server according to the virtual data on the user line.
  • the processor 211 receives the feedback message transmitted by the radio frequency module 216, and acquires event execution information from the feedback message.
  • the application event is executed correspondingly according to the event execution information.
  • the touch display screen 223 also receives an access application authorization command input by the user and transmits the access application authorization command to the touch screen controller 218.
  • the access application authorization instruction includes an identifier of the application.
  • the touch screen controller 218 receives the access application authorization command transmitted by the touch display screen 223 and transmits an access application authorization command to the processor 211.
  • the processor 211 further receives an access application authorization command transmitted by the touch screen controller 218, and acquires an identifier of the application from the access application authorization instruction.
  • the processor 211 also detects if the application has been started. When the processor 211 detects that the application has been launched, the processor 211 determines whether the application has been authorized by the user to access the application. If the processor 211 determines that the application has been authorized by the user to access the application, the application is accessed according to the identity of the application and the user raw data in the application is obtained. The processor 211 performs statistical processing on the user raw data to obtain user feature data. The processor 211 transmits the user feature data to the radio frequency module 216.
  • the radio frequency module 216 further receives the user feature data transmitted by the processor 211, and sends the user feature data to the cloud server according to the preset sending rule, so that the cloud server sends the user feature data to the big data system module.
  • the user profile data is used to cause the big data system module to form virtual data on the user line that matches the user.
  • the processor 211 further determines whether the application has stopped running. If the application has stopped running, the processor 211 stops acquiring user raw data in the application.
  • the processor 211 performs statistical processing on the user original data
  • the user feature data is specifically: the processor 211 determines a common feature of the user original data.
  • the processor 211 performs statistical processing on the user raw data by using common features of the user raw data to obtain user feature data.
  • processor 211 also transmits the execution result of the application event to the touch screen controller 218.
  • the touch screen controller 218 receives the execution result transmitted by the processor 211 and transmits the execution result to the touch display screen 223.
  • the display screen 223 is touched, and the execution result transmitted by the touch screen controller 218 is received, and the execution result is displayed to enable the user to see the execution result.
  • the terminal processes the authorization instruction according to the application input by the user, accesses the application, and acquires the application event information to be processed from the application; the terminal sends the application event information to the cloud server, and the terminal sends the application event information to the cloud server.
  • the application event is executed according to the event execution information fed back by the cloud server, and the execution result is displayed.
  • the solution provided by the embodiment of the present invention avoids the prior art that the intelligent assistant provides information or service only after the user issues the demand instruction, and cannot provide the most suitable service for the user because it cannot interact with the application or function on the terminal.
  • the situation enables the terminal to interact with the application or function on the terminal according to the authorization of the user, instead of the user intelligently processing the application event, providing the user with appropriate information and services to improve the user experience.
  • FIG. 3 is a schematic structural diagram of a cloud server according to an embodiment of the present invention.
  • the cloud server 300 can include a receiver 310, a processor 320, a transmitter 330, and a memory 340 (one or more readable storage media). These components can communicate over one or more communication buses 350.
  • the bus 350 may be a peripheral component interconnect standard (English: peripheral component interconnect, PCI for short) or an extended industry standard architecture (EISA) bus.
  • the bus can be divided into an address bus, a data bus, a control bus, and the like. For ease of representation, only one thick line is shown in Figure 3, but it does not mean that there is only one bus or one type of bus.
  • the receiver 310 and the transmitter 330 are communication interfaces for the cloud server to perform communication interaction with other devices. It can be a wired communication access port, a wireless communication interface or a combination thereof, wherein the wired communication interface can be, for example, an Ethernet interface.
  • the Ethernet interface can be an optical interface, an electrical interface, or a combination thereof.
  • the wireless communication interface can be a WLAN interface, a cellular network communication interface, or a combination thereof.
  • the processor 320 may be a central processing unit (English: central processing unit, CPU for short), a network processor (English: network processor, NP for short) or a combination of CPU and NP.
  • CPU central processing unit
  • NP network processor
  • Processor 320 may also further include a hardware chip.
  • the hardware chip may be an application-specific integrated circuit (ASIC), a programmable logic device (PLD) or a combination thereof.
  • ASIC application-specific integrated circuit
  • PLD programmable logic device
  • the above PLD can be a complex programmable logic device (English: complex programmable logic device, CPLD for short), field-programmable gate array (English: field-programmable gate array, referred to as: FPGA), general array logic (English: general array Logic, abbreviated as: GAL) or any combination thereof.
  • the memory 340 may include a volatile memory (English: volatile memory), such as random-access memory (RAM: RAM); the memory may also include non-volatile memory (English: non-volatile memory) For example, a flash memory (English: flash memory), a hard disk (English: hard disk drive, HDD) or a solid state drive (English: solid-state drive, SSD); the memory 340 may also include the above types of memory. combination.
  • volatile memory such as random-access memory (RAM: RAM
  • non-volatile memory English: non-volatile memory
  • flash memory English: flash memory
  • HDD hard disk drive
  • SSD solid state drive
  • the memory 340 can also be used to store program instructions.
  • the processor 320 calls the program instructions stored in the memory 340.
  • the processor 320 is hardware such as an FPGA, an ASIC, etc., the processor 320 does not need to store the memory 340.
  • Program instructions, the technician can directly write the program instructions into the hardware processor of the FPGA and ASIC, and the FPGA and ASIC can directly execute the program instructions.
  • the cloud server provided by the foregoing embodiment is configured to perform the smart processing application event in the embodiment of the present invention. method.
  • the receiver 310 receives the notification message sent by the terminal and transmits the notification message to the processor 320.
  • the notification message includes application event information to be processed in the application in the terminal.
  • the processor 320 receives the notification message transmitted by the receiver 310, and acquires application event information from the notification message.
  • the processor 320 calls the stored virtual data on the subscriber line from the memory 340 to obtain event execution information of the application event information.
  • the processor 320 generates a feedback message and carries the event execution information in the feedback message, and transmits the feedback message to the transmitter 330.
  • the transmitter 330 receives the feedback message transmitted by the processor 320 and sends a feedback message to the terminal.
  • the feedback message includes event execution information, and the event execution information is used to enable the terminal to perform corresponding execution on the application event according to the event execution information.
  • the receiver 310 further receives the user feature data sent by the terminal and transmits the user feature data to the processor 320.
  • the processor 320 receives the user feature data transmitted by the receiver 310, and transmits the user feature data to the transmitter 330 after determining that the received user feature data is received.
  • the transmitter 330 also receives user feature data transmitted by the processor 320 and transmits user feature data to the big data system module.
  • the receiver 310 further receives the virtual data of the user line matched with the user formed by the statistical data classification process performed by the big data system module on the user feature data.
  • the receiver 310 transmits the virtual data on the subscriber line to the processor 320.
  • the processor 320 also receives the virtual data on the subscriber line transmitted by the receiver 310 and stores the virtual data on the subscriber line to the memory 340.
  • the notification message received by the receiver 310 further includes an identifier of the terminal.
  • the processor 320 further acquires virtual data on the user line that matches the identifier of the terminal according to the identifier of the terminal.
  • the virtual data on the subscriber line stored in the memory 340 includes a user portrait, user association information, and user behavior information.
  • the event execution information that the processor 320 obtains the application event information according to the virtual data on the user line is specifically:
  • the processor 320 determines event execution information that matches the application event information from the user portrait, the user association information, and the user behavior information according to the application event information.
  • the cloud server obtains event execution information of the application event information according to the stored virtual data of the user line, and sends event execution information to the terminal, so that the terminal performs information to the application according to the event.
  • the event is executed correspondingly and the execution result is displayed.
  • the intelligent assistant provides information or service only after the user issues the demand instruction, and cannot provide the most suitable service for the user because it cannot interact with the application or function on the terminal.
  • the situation enables the terminal to interact with the application or function on the terminal according to the authorization of the user, instead of the user intelligently processing the application event, providing the user with appropriate information and services to improve the user experience.
  • the terminal 200 and the cloud server 300 can implement intelligent processing of application events by executing corresponding program instructions by the terminals 200 and the devices in the cloud server 300.
  • the terminal 200 or the cloud server 300 may also separately provide a smart assistant client inside thereof.
  • the Assistant Client can be a programmatic software module.
  • the software module can be a program instruction stored in a memory.
  • FIG. 4 is a schematic diagram of a smart assistant client in a terminal and a cloud server according to an embodiment of the present invention.
  • Each terminal 200 internally includes a first assistant client 410
  • the cloud server 300 internally includes a second smarter.
  • Assistant client 420 The big data system module 430 can be in the cloud server 300 or in another cloud server.
  • FIG. 4 illustrates an example in which the big data system module 430 is in the cloud server 300.
  • the processor 211 in the terminal 200 or the processor 320 in the cloud server 300 activates the respective assistant client by calling the program instructions stored in the memory, by the first assistant client. And the second assistant client implements intelligent processing of application events.
  • the first smart assistant client 410 receives an application processing authorization command input by the user.
  • the application processing authorization instruction includes an application identifier in the terminal. According to the application identifier, the first assistant client 410 accesses the application and acquires the application event information to be processed from the application.
  • the first Assistant Client 410 sends a notification message to the second Assistant Client 420.
  • the notification message includes application event information.
  • the second assistant client 420 receives the notification message sent by the first assistant client 410.
  • the second assistant client 420 obtains event execution information of the application event information based on the stored virtual data on the user line.
  • the second Assistant Client 420 sends a feedback message to the first Assistant Client 410.
  • the feedback message includes event execution information.
  • the first Assistant Client 410 also receives a feedback message sent by the second Assistant Client 420.
  • the first assistant client 420 performs corresponding execution of the application event according to the event execution information, and displays the execution result.
  • the cloud server further includes a big data system module 430.
  • the first Assistant Client 410 also receives an Access Application Authorization command entered by the user.
  • the access application authorization instruction includes an identifier of the application.
  • the first smart assistant client 410 determines whether the application has been authorized to access the application. If the first Assistant Client 410 determines that the application has been authorized by the user to access the application, the application is accessed according to the identity of the application and the user raw data in the application is obtained.
  • the first assistant client 410 performs statistical processing on the user raw data to obtain user feature data.
  • the first assistant client 410 transmits the user feature data to the second assistant client 420 according to a preset sending rule.
  • the second assistant client 420 also receives user feature data sent by the first assistant client 410.
  • the second Assistant Client 420 sends user profile data to the Big Data System module.
  • the second assistant client 420 receives the virtual data on the user line that is matched with the user formed by the big data system module to perform the mining process on the user feature data.
  • the second assistant client 420 performs storage processing on the virtual data on the user line.
  • the big data system module 430 receives the user feature data sent by the second assistant client 420.
  • the big data system module 430 performs mining processing on the user feature data to form virtual data on the user line that matches the user.
  • the big data system module 430 sends the user online virtual data to the second smart assistant client 420.
  • the first assistant client 410 performs statistical processing on the user original data, and the user feature data is specifically:
  • the first Assistant Client 410 determines the common characteristics of the user's raw data.
  • the first assistant client 410 performs statistical processing on the user raw data by using common features to obtain user feature data.
  • the virtual data on the user line includes a user portrait.
  • the big data system module 430 performs mining processing on the user feature data to form a virtual data on the user line that matches the user:
  • the big data system module 430 determines content information of the user feature data.
  • the big data system module 430 utilizes the content information to assign tags to the user feature data.
  • the big data system module 430 utilizes tags to form a user drawing that matches the user. image.
  • the user online virtual data further includes user association information and user behavior information.
  • the big data system module 430 performs mining processing on the user feature data to form a virtual data on the user line that matches the user:
  • the big data system module 430 acquires user feature data belonging to the user social tag from the user portrait, and uses the user feature data belonging to the user social tag as the user association information.
  • the big data system module 430 acquires user feature data belonging to the user behavior tag from the user portrait, and uses the user feature data belonging to the user behavior tag as the user behavior information.
  • the first smart assistant client 410 may further include a user interface module, a user authorization management module, a data collection and analysis module, a user agent module, and a cloud side interface module. It can be understood that the user interface module, the user authorization management module, the data collection and analysis module, the user agent module, and the cloud side interface module are programmatic software modules.
  • the user interface module is configured to provide a human-computer interaction interface, such as a GUI, a CUI, etc., when interacting with the user.
  • the user authorization management module is used to manage the authorization of the user for each application in the terminal 200.
  • the data collection and analysis module is configured to collect user raw data in each application in the terminal 200 by using various preset manners, and perform statistical analysis on the user raw data to obtain user feature data.
  • the user agent module is configured to, under the authorization of the user, proxy the user to trigger various operation commands within the application and interact with the application.
  • the cloud side interface module is configured to perform information interaction with the second smart assistant client 420 in the cloud server 300.
  • the second assistant client 420 may further include an end side interface module, a real time decision module, a user smart center module, and a big data system interface module. It can be understood that the end side interface module, the real-time decision module, the user smart center module, and the big data system interface module are programmatic software modules.
  • the end side interface module is configured to perform information interaction with the first smart assistant client 410 in the terminal 200.
  • the real-time decision module is configured to perform real-time decision according to the application event information sent by the first smart assistant client 410, and send event execution information to the first smart assistant client 410.
  • the user smart center module is configured to form virtual data on the user line that matches the user according to the user feature data sent by the first smart assistant client 410.
  • the big data system interface module is used to exchange information with the big data system module 430.
  • interface 1 is the interface between the user and the first smart assistant client 410.
  • the interface 1 is for the user to authorize the first assistant client 410 to understand and obtain the user raw data in various applications, and the first assistant client 410 interacts with the user in various ways (such as voice, text).
  • Interface 2 is the interface between the first Assistant client 410 and various applications within the terminal.
  • the interface 2 is used by the first assistant client 410 to obtain user raw data from the application after the user authorizes.
  • the first smart assistant client 410 can also trigger various operational commands within the application and interact with the application under user authorization.
  • the interface 3 is an interface between the first smart assistant client 410 and the second smart assistant client 420.
  • the interface 3 is used by the first smart assistant client 410 to communicate with the second smart assistant client 420.
  • Interface 4 is the interface between second smart assistant client 420 and big data system module 430.
  • the interface 4 is for the second assistant client 420 to communicate with the big data system module.
  • interfaces 1 to 4 may all be existing interfaces.
  • FIG. 5 A flow chart of a method for intelligently handling application events.
  • the execution subject is a terminal. Specifically, the following steps are included:
  • Step 510 Receive an application processing authorization instruction input by a user, where the application processing authorization instruction includes an identifier of an application in the terminal.
  • the user when the user wishes to process some transactions (eg, receiving a courier) by the terminal instead of itself, the user inputs an application processing authorization instruction to the terminal, the application processing authorization instruction including an identification of the application in the terminal.
  • Step 520 Access the application according to the identifier of the application, and obtain application event information to be processed from the application.
  • the terminal acquires an identifier of the application from the application processing authorization instruction. According to the identifier of the application, the terminal accesses the application, and obtains the application event information to be processed from the application.
  • the terminal can obtain application data by means of data reading, packet capture analysis, screenshot recognition, crawler analysis, and the like of the application. After acquiring the application data, the terminal generates application event information, and includes the acquired application data in the application event information.
  • Step 530 Send a notification message to the cloud server, where the notification message includes the application event information.
  • the terminal after generating the application event information, the terminal sends a notification message to the cloud server, where the notification message includes application event information.
  • the notification message further includes an identifier of the terminal, where the identifier of the terminal is used to enable the cloud server to obtain virtual data of the user line matching the identifier of the terminal from the database according to the identifier of the terminal.
  • Step 540 Receive a feedback message sent by the cloud server after processing the application event information according to virtual data on the user line, where the feedback message includes event execution information.
  • the cloud server after receiving the notification message, the cloud server obtains the application event information and the identifier of the terminal from the notification message. According to the identifier of the terminal, the cloud server obtains virtual data of the user line that matches the identifier of the terminal from the database. The cloud server obtains event execution information corresponding to the application event information according to the virtual data on the user line.
  • the cloud server generates a feedback message, and the feedback message includes event execution information.
  • the cloud server sends a feedback message to the terminal.
  • Step 550 Perform corresponding execution on the application event according to the event execution information.
  • the terminal After receiving the feedback message, the terminal acquires application event execution information from the feedback message, and the terminal performs corresponding execution on the application event according to the event execution information.
  • the terminal processes the authorization instruction according to the application input by the user, accesses the application, and acquires the application event information to be processed from the application; the terminal sends the application event information to the cloud server. Applying the event information, the terminal performs corresponding execution of the application event according to the event execution information fed back by the cloud server, and displays the execution result.
  • the intelligent assistant provides information or service only after the user issues the demand instruction, and cannot provide the most suitable service for the user because it cannot interact with the application or function on the terminal.
  • the situation enables the terminal to interact with the application or function on the terminal according to the authorization of the user, instead of the user intelligently processing the application event, providing the user with appropriate information and services to improve the user experience.
  • the method further includes the step of displaying an execution result of the application event after the terminal finishes executing the application event.
  • the terminal displays the execution result to prompt the user to execute the application event to be processed, and the user can perform subsequent operations according to the execution result.
  • the method further includes user raw data in the acquired application. Perform statistical processing to obtain user feature data and the step of transmitting user feature data to the cloud server.
  • the cloud server can send the user feature data to the big data system module in the cloud server after receiving the user feature data.
  • the big data system module forms the virtual data of the user line matched with the user according to the user characteristic data, and sends the virtual data of the user line to the cloud server, so that the cloud server obtains the event according to the virtual data of the user after receiving the application event information.
  • Execution information enables the terminal to handle certain transactions in place of the user intelligence, and provides the most appropriate service for the user to improve the user experience.
  • the user authorizes the terminal.
  • the user can authorize the terminal to access multiple applications at the same time, and can also authorize the terminal to access an application.
  • the user's right to authorize access to an application by the terminal is taken as an example for description.
  • the user authorizes the terminal access application 1. That is, the user inputs an access application authorization command to the terminal.
  • the access application authorization command includes an identifier of the application 1 accessible by the terminal.
  • the user again inputs a first touch operation to the terminal for causing the terminal to launch the application 1.
  • the first touch operation can be a click operation.
  • the terminal After receiving the access application authorization command, the terminal obtains the identifier of the application 1 to be accessed from the access application authorization command. According to the identification, the terminal periodically detects whether the application 1 has been started. If it is detected that the application 1 has been started, the terminal determines whether it has been authorized by the user to access the application 1. The terminal determines whether it has been authorized by the user by itself receiving the access application authorization command of the application 1. If the terminal determines that it has been authorized by the user to access the application 1 (the terminal has received the access application authorization instruction of the application 1), the terminal accesses the application 1 according to the identifier of the application 1, and acquires the application 1 User raw data.
  • the terminal may obtain the user original data by performing data reading, packet capture analysis, screenshot recognition, crawler analysis, and the like on the application 1.
  • the manner of obtaining the user's original data is the existing method of acquiring data, and will not be repeated here.
  • the terminal performs statistical processing on the user original data to obtain user characteristic data.
  • the terminal sends the user feature data to the cloud server.
  • the cloud server After receiving the user feature data, the cloud server sends the user feature data to the big data system module.
  • the big data system module mines the user feature data to obtain virtual data on the user line that matches the user.
  • the big data system module then sends the virtual data on the user line to the cloud server, and the cloud server stores the virtual data on the user line.
  • the terminal performs statistical processing on the user original data to obtain user feature data, specifically: the terminal determines a common feature of the user original data; uses the common feature to perform statistical processing on the user original data to obtain user feature data.
  • the sending rule is specifically a sending policy when the terminal sends the user feature data.
  • the terminal sends the user feature data within a preset time period; or the sent user feature data needs to be a fixed format.
  • the method further includes: when determining that the application has stopped running, the step of acquiring the user raw data in the application is no longer performed. Through this step, real-time data is acquired while the application is running, which more accurately represents the behavior habits of the user to the application, and also provides accuracy for the cloud server to form virtual data on the user line.
  • the user inputs a second touch operation to the terminal for the terminal to close and exit the application 1.
  • the second touch operation can be a click operation.
  • the terminal determines whether the application 1 has stopped running; if the application 1 has stopped running, the terminal stops acquiring the user raw data in the application 1.
  • FIG. 6 is a flowchart of another method for intelligently processing an application event according to an embodiment of the present invention.
  • the execution entity is a cloud server.
  • the body includes the following steps:
  • Step 610 Receive a notification message sent by the terminal, where the notification message includes application event information to be processed by the application in the terminal.
  • the terminal sends a notification message to the cloud server, where the notification message includes application event information to be processed in the application in the terminal.
  • the terminal has explained in detail that the terminal processes the authorization instruction according to the application of the user, accesses the application, acquires the application event information to be processed from the application, and generates a notification by the terminal. The process of the message is not repeated here.
  • Step 620 Obtain event execution information of the application event information according to the stored virtual data on the user line.
  • the cloud server after receiving the notification message, obtains application event information from the notification message. According to the application event information, the cloud server obtains virtual data of the user online from the database, and the cloud server obtains event execution information related to the application event information according to the virtual data on the user line.
  • the virtual data on the user line is specifically data for describing attributes, behaviors, social relationships, and the like of the user.
  • the user's online virtual data is stored in the cloud server database.
  • User online virtual data includes user portraits, user association information, and user behavior information.
  • the cloud server determines event execution information matching the application event information from the user portrait, the user association information, and the user behavior information according to the application event information.
  • the User Profile which is the tagging of user information, abstracts a user's business profile by collecting and analyzing the data of the user's social attributes and living habits.
  • the user association information is the social relationship of the user.
  • User behavior information is the processing mode in which the user handles transactions.
  • User A's user portrait includes name tags, age tags, photo tags, family status tags, revenue tags, work tags, and the like.
  • the user association information includes user A's address book, communication duration, consumption object, and the like.
  • the user behavior information includes that user A receives the courier through the contact secretary to receive the courier; user A uses the public comment app, pays through Alipay, and the like.
  • the event execution information is specifically information for executing an application event, that is, execution of the application event can be completed by the event execution information.
  • the application event information specifically includes: receiving a courier, a courier item, a courier name, a phone number, and a pickup location.
  • the cloud server first obtains virtual data of the user line matching the terminal A according to the identifier of the terminal, such as the terminal A, such as the virtual data on the user A line.
  • the cloud server determines, according to the virtual data of the user A, that the user A contacts the secretary through the WeChat to receive the courier when receiving the courier, that is, the cloud server obtains the event execution information of the courier to contact the secretary through the WeChat to receive the courier.
  • Step 630 Send a feedback message to the terminal, where the feedback message includes the event execution information, where the event execution information is used by the terminal to perform corresponding processing on the application event according to the event execution information.
  • the cloud server After obtaining the event execution information of the application event information, the cloud server generates a feedback message, where the event message carries the event execution information.
  • the cloud server sends a feedback message to the terminal.
  • the terminal receives the feedback message, obtains the application event execution information from the feedback message, and performs the corresponding execution of the application event according to the event execution information. After the terminal finishes executing the application event, the step of displaying the execution result of the application event is displayed. The terminal displays the execution result to prompt the user to execute the application event to be processed, and the user can perform subsequent operations according to the execution result.
  • the cloud server is stored according to the method for intelligently processing an application event provided by the embodiment of the present invention.
  • the virtual data on the user line obtains the event execution information of the application event information, and sends the event execution information to the terminal, so that the terminal performs the corresponding execution of the application event according to the event execution information, and displays the execution result.
  • the solution provided by the embodiment of the present invention avoids the prior art that the intelligent assistant provides information or service only after the user issues the demand instruction, and cannot provide the most suitable service for the user because it cannot interact with the application or function on the terminal.
  • the situation enables the terminal to interact with the application or function on the terminal according to the authorization of the user, instead of the user intelligently processing the application event, providing the user with appropriate information and services to improve the user experience.
  • the notification message in the step 610 of the embodiment of the present invention further includes the identifier of the terminal, where the identifier of the terminal is used to obtain virtual data of the user line that matches the identifier of the terminal from the database according to the identifier of the terminal.
  • the cloud server after receiving the notification message, the cloud server obtains the application event information and the identifier of the terminal from the notification message. According to the identifier of the terminal, the cloud server obtains virtual data of the user line that matches the identifier of the terminal from the database. The user displays virtual data for causing the cloud server to obtain event execution information with application event information.
  • the method further includes: forwarding the user feature data sent by the terminal to the big data system module, and receiving the big data system module to form the virtual data of the user line matched with the user according to the user feature data. step.
  • the event execution information is obtained according to the virtual data on the user line, so that the terminal can intelligently process some transactions instead of the user, and provide the most suitable service for the user, thereby improving user experience.
  • the terminal acquires user raw data from the application, and performs statistical processing on the user original data to obtain user feature data.
  • the terminal sends user feature data to the cloud server.
  • the cloud server After receiving the user feature data, the cloud server sends the user feature data to the big data system module.
  • the big data system module mines the user feature data to obtain virtual data on the user line that matches the user.
  • the cloud server receives the virtual data of the user line sent by the big data system module, and stores the virtual data on the user line.
  • the cloud server can receive user feature data sent by multiple terminals, and multiple terminals can belong to the same user or different users.
  • the cloud server can centrally store the user characteristic data belonging to the same user and send it to the big data system module.
  • the cloud server After receiving the virtual data on the user line, the cloud server stores the virtual data on the user line and its matching user in the database in the form of a table.
  • the big data system module performs the mining process on the user feature data, and the virtual data on the user line that matches the user is obtained in the prior art, and is not repeated here.
  • FIG. 7 is a flowchart of collecting and analyzing data of a first intelligent assistant client according to an embodiment of the present invention
  • FIG. 8 is a flowchart of forming virtual data of a user on a second intelligent assistant client according to an embodiment of the present invention
  • FIG. 9 is a flowchart The intelligent assistant client intelligent processing application event flow chart provided by the embodiment of the invention.
  • a smart assistant client may be separately set in the terminal or the cloud server, and the smart assistant client may perform intelligent processing on the application event.
  • the following is a detailed description of intelligent processing of application events by a plurality of modules included in the first assistant client and the second assistant client.
  • the following user interface module, user authorization management module, data collection and analysis module, user agent module, and cloud side interface module are in the first assistant client.
  • End-side interface module, real-time decision module, user intelligence center is in the second assistant client.
  • FIG. 7 The process of collecting user raw data and performing statistical processing on the user raw data to obtain user characteristic data is illustrated by using FIG. 7 as an example. As shown in FIG. 7 , the following steps are specifically included:
  • Step 701 The user authorization management module receives an access application authorization instruction input by the user.
  • the user authorizes the first assistant client.
  • the user can authorize the first Assistant client to multiple applications at the same time, or authorize the first Assistant client to an application.
  • the user's right to authorize an application by the first assistant client is taken as an example for description.
  • the user authorizes the first Assistant Client Access Application 1. That is, the user interface module provides a human-computer interaction interface for the user.
  • the user inputs an access application authorization command to the first smart assistant client, the access application authorization command including an identifier of the accessible application 1.
  • the user authorization management module receives the access application authorization instruction.
  • the user authorization management module determines that it can subsequently interact with the application 1 according to the access application authorization instruction.
  • Step 702 The terminal receives a first touch operation input by a user.
  • the user inputs a first touch operation to the terminal again, the first touch operation for the terminal to launch the application 1.
  • the first touch operation can be a click operation.
  • the terminal starts the application 1 according to the first touch operation.
  • Step 703 When the user authorization management module detects that the application 1 has been started, the user authorization management module determines whether it has been authorized by the user to access the application 1.
  • the user authorization management module After receiving the access application authorization command, the user authorization management module obtains the identifier of the application 1 to be accessed from the access application authorization instruction. According to the identifier, the user authorization management module periodically detects whether the application 1 in the terminal has started. If it is detected that the application 1 has been started, the user authorization management module determines whether it has been authorized by the user to access the application 1.
  • the user authorization management module can determine whether it receives the access application authorization instruction of the application 1 by itself.
  • Step 704 If the user authorization management module determines that it has been authorized by the user to access the application 1, the user authorization management module notifies the data collection and analysis module to access the application 1.
  • the user authorization management module if the user authorization management module has been authorized by the user to access the application 1 (that is, if the user authorization management module has received the access application authorization instruction of the application 1), the user authorization management module notifies the data collection. Connect to the application 1 with the analysis module.
  • Step 705 The data collection and analysis module acquires user raw data in the application 1.
  • the user authorization management module sends the identifier of the application 1 to the data collection and analysis module when the notification data collection and analysis module accesses the application 1.
  • the data collection and analysis module is entered into the application 1 and the user raw data in the application 1 is acquired.
  • the process of the data collection and analysis module accessing the application 1 is specifically: the data collection and analysis module accesses the application 1 according to the authorization of the user.
  • the access application authorization command also includes access information such as a login name, a password, and the like.
  • the data collection and analysis module can access the application 1 by login name and password.
  • the data collection and analysis module can read, capture, and screen the data of the application 1. Screen capture recognition, crawler analysis, etc. to obtain user raw data.
  • the manner of obtaining the user original data is the existing mode, and is not repeated here.
  • the user raw data obtained by the data collection and analysis module is: the user clicks on a link in the morning, at noon, and at night.
  • Step 706 The data collection and analysis module performs statistical processing on the original data of the user to obtain user feature data.
  • the data collection and analysis module determines a common feature of the user's original data; and uses the common feature to perform statistical processing on the user's original data to obtain user feature data.
  • the user raw data is “the user clicks on a certain link in the morning, at noon, and at night”.
  • the data collection and analysis module determines that the common feature of the user's original data is “user clicks on a certain link”. According to the common feature, the data collection and analysis module performs statistical processing to obtain the user characteristic data as “clicking a link three times a day”.
  • Step 707 The data collection and analysis module sends the user feature data to the user smart center module according to the preset sending rule.
  • the data collection and analysis module sends the user feature data to the end interface module through the cloud side interface module.
  • the end interface module forwards the user feature data to the user smart center module.
  • the user smart center module After receiving the user feature data, the user smart center module sends the user feature data to the big data system module through the big data system interface module, so that the big data system module forms the virtual data of the user line matched with the user according to the user feature data.
  • the foregoing embodiment has described in detail that the data collection and analysis module sends user feature data to the user smart center module, and is not repeated here.
  • Step 708 The terminal receives a second touch operation input by the user.
  • the user inputs a second touch operation to the terminal again, the second touch operation for the terminal to stop and close the application 1.
  • the second touch operation can be a click operation.
  • the terminal stops and closes the application 1 according to the second touch operation.
  • Step 709 The user authorization management module determines whether the application 1 has stopped running.
  • Step 710 If the application 1 has stopped running, the user authorization management module notifies the data collection and analysis module to stop acquiring the user raw data in the application 1.
  • the user authorization management module periodically detects whether the application 1 in the terminal has stopped running. If it is detected that the application 1 has stopped running, the user authorization management module notifies the data collection and analysis module to stop acquiring the user raw data in the application 1.
  • the data collection and analysis module may also send a data collection policy, and the data collection and analysis module may be used according to the data collection policy to the user.
  • Raw data is obtained.
  • the data collection strategy includes the timing of data acquisition, the way data is acquired, and so on.
  • the second assistant client forms a virtual line on the user that matches the user according to the user feature data.
  • the process of data is described, as shown in FIG. 8, specifically including the following steps:
  • Step 801 The data collection and analysis module 1 sends the user feature data 1 to the user smart center module.
  • the data collection and analysis module 1 in the first smart assistant client 1 sends the user feature data 1 to the second smart assistant client mid-side interface module through the cloud side interface module.
  • the end interface module receives the user feature data 1 and forwards the user feature data 1 to the user smart center module.
  • the first smart assistant client 1 may be in the terminal 1.
  • the user smart center module and the end side interface module are not separately shown, but the end side interface module and the user smart center module are combined and shown.
  • Step 802 the data collection and analysis module 2 sends the user feature data 2 to the user smart center module.
  • the data collection and analysis module 2 in the first smart assistant client 2 sends the user feature data 2 to the second smart assistant client mid-side interface module through the cloud side interface module.
  • the end interface module receives the user feature data 2 and forwards the user feature data 2 to the user smart center module.
  • the first assistant client 2 can be located in the terminal 2, and the terminal 1 and the terminal 2 can belong to the same user or belong to different users.
  • the user smart center module obtains user feature data from a plurality of terminals of the same user, so that the user smart center module can obtain more details of the user, and the user line formed in the subsequent step.
  • the virtual data on the screen is more consistent with the user.
  • virtual data of the user line matching the plurality of users can be formed.
  • the terminal 1 and the terminal 2 belong to the same user as an example for description.
  • Step 803 The user smart center module sends the user feature data 1 and the user feature data 2 to the big data system module.
  • the user smart center module After receiving the user feature data 1 and the user feature data 2, the user smart center module sends the user feature data 1 and the user feature data 2 to the big data system module through the big data system interface module.
  • the big data system module is in the cloud server.
  • Step 804 The big data system module receives user feature data 3 sent by other application systems.
  • the big data system module can also obtain user characteristic data 3 of the user from other application systems.
  • the other application system may be specifically an application server corresponding to an application.
  • an application server corresponding to an application For example: a server corresponding to the application "WeChat” and a server corresponding to the application "Popular Review”.
  • the user's user profile data is also stored in the server.
  • Step 805 The big data system module performs mining processing on the user feature data to form virtual data on the user line that matches the user.
  • the virtual data on the user line includes a user portrait.
  • the big data system module determines content information of the user characteristic data; using the content information, the big data system module assigns a label to the user characteristic data; and the tag, the big data system module forms a user portrait that matches the user.
  • user A's user profile data includes Xiao Ming, 20, user avatar, unmarried, salary 10000, software engineer.
  • the big data system module determines content information of each user characteristic data, that is, the big data system module determines that user A's name is "Xiao Ming", age is "20”, photo is “user avatar”, family status is “unmarried”, income It is “Wage 10000” and the job is “Software Engineer”.
  • the big data system module assigns a label to each user characteristic data, that is, assigns a name tag to "Xiao Ming", assigns an age tag to "20”, assigns a photo tag to "user avatar”, and assigns a family status tag to "unmarried” , assign a revenue label to "salary 10000",
  • the Software Engineer assigns a work label.
  • the above label is associated with the user A to form a user portrait of the user A, that is, the user portrait of the user A includes a name tag, an age tag, a photo tag, a family status tag, an income tag, and a work tag.
  • the user online virtual data further includes user association information and user behavior information.
  • the big data system module obtains user feature data belonging to the user social tag from the user image, and uses the user feature data belonging to the user social tag as the user association information; the user feature data belonging to the user behavior tag is obtained from the user image, and belongs to User feature data of the user behavior tag is used as user behavior information.
  • user A's user portrait includes a user social tag and a user behavior tag.
  • the user social tag is used to represent the social relationship of the user A
  • the user behavior tag is used to indicate the behavior mode of the user A.
  • the user social tag of user A includes user A's address book, communication duration, consumption object, and the like
  • user A's user behavior tag includes user A receiving the courier, contacting the secretary to collect the courier, etc.
  • user A is using When the public comment application, through Alipay payment and other content.
  • the big data system module uses the content of the user A's address book, communication duration, and consumption object as the user-related information; when the user A receives the courier, the user contacts the secretary to collect the content such as the courier as the user behavior information, wherein the contact with the secretary The way as user-associated information.
  • Step 806 The big data system module sends the virtual data of the user line to the user smart center module.
  • Step 807 The user smart center module performs storage processing on the virtual data on the user line.
  • FIG. 9 The process of intelligently processing an application event by the assistant client is illustrated in FIG. 9 , as shown in FIG. 9 , which specifically includes the following steps:
  • Step 901 The user authorization management module receives an application processing authorization instruction input by the user.
  • the user when the user wishes to process some transactions by the terminal instead of itself (eg, receiving a courier), the user inputs an application processing authorization instruction to the user authorization management module, the application processing authorization instruction including an identification of the application in the terminal (eg, WeChat Identification, SMS identification).
  • the application processing authorization instruction including an identification of the application in the terminal (eg, WeChat Identification, SMS identification).
  • the user authorization management module receives an application processing authorization instruction.
  • the user wishes to receive the courier by the terminal instead of the transaction processed by itself.
  • the identifier of the application included in the processing authorization command is the identifier of the WeChat application and the identifier of the short message application.
  • Step 902 The user authorization management module updates the data collection policy in the data collection and analysis module and the proxy policy in the user agent module.
  • the user authorization management module updates the data collection policy and the proxy policy according to the application processing authorization instruction, so that the data collection and analysis module collects the application data in the WeChat and short message application according to the authorized scope and requirements of the user.
  • the user agent module performs command operations according to the authorization scope and requirements of the user and the WeChat, short message application.
  • the application processing authorization instruction is separately sent to the data collection and analysis module and the user agent module.
  • Step 903 The data collection and analysis module accesses the application according to the identifier of the application, and obtains the application event information to be processed from the application.
  • the data collection and analysis module accesses the short message application according to the identifier of the short message application, and obtains application data for receiving the express event from the short message application, such as a courier object, a courier name, Phone, pick up location, etc.
  • the data collection and analysis module After acquiring the application data, the data collection and analysis module generates application event information, and includes, in the application event information, a receiving courier, a courier object, a courier name, a phone number, and a pickup location.
  • Step 904 The data collection and analysis module sends a notification message to the real-time decision module, where the notification message includes application event information.
  • the cloud side interface module sends a notification message to the end side interface module, where the notification message includes application event information.
  • the end interface module After receiving the notification message, the end interface module sends a notification message to the real-time decision module.
  • the notification message further includes an identifier of the terminal, where the identifier of the terminal is used by the real-time decision module to acquire virtual data of the user line matching the identifier of the terminal from the database of the user smart center module according to the identifier of the terminal.
  • Step 905 The real-time decision module obtains event execution information of the application event information according to the stored virtual data of the user line.
  • the real-time decision module obtains the application event information and the identifier of the terminal from the notification message. According to the identifier of the terminal, the real-time decision module obtains the virtual data of the user line matching the identifier of the terminal from the database of the user smart center module. The real-time decision module obtains event execution information corresponding to the application event information according to the virtual data on the user line.
  • the application event information specifically includes: receiving a courier, a courier object, a courier name, a phone number, and a pickup location.
  • the real-time decision-making module first obtains virtual data of the user line matching the terminal A, such as the virtual data on the user A line, from the database of the user smart center according to the identifier of the terminal, such as the terminal A.
  • the real-time decision-making module determines that the user A receives the courier through the WeChat contact secretary when the receiving courier receives the courier, that is, the real-time decision-making module obtains the event execution information of the courier to contact the courier to obtain the courier.
  • Step 906 The real-time decision module sends a feedback message to the user agent module, where the feedback message includes event execution information.
  • the real-time decision module sends a feedback message to the cloud side interface module through the end interface module.
  • the cloud side interface module After receiving the feedback message, the cloud side interface module sends a feedback message to the user agent module.
  • Step 907 The user agent module accesses the application, and performs corresponding execution on the application event according to the event execution information.
  • the user agent module accesses the WeChat application according to the identity of the WeChat application.
  • the user agent module obtains event execution information from the feedback message, that is, contacts the secretary through WeChat to collect the courier.
  • the User Agent module sends WeChat information to the secretary in the WeChat application.
  • Step 908 The user agent module displays the execution result.
  • the user agent module displays the execution result of the application event to prompt the user to complete the execution of the application event.
  • the embodiment of the present invention further provides a device for intelligently processing an application event, which is used to implement the method for intelligently processing an application event provided in the foregoing embodiment. .
  • the device is applied to a terminal.
  • the apparatus includes: a receiving unit 1010, a first obtaining unit 1020, a transmitting unit 1030, and an executing unit 1040.
  • the receiving unit 1010 is configured to receive an application processing authorization instruction input by a user, where the application processing authorization instruction includes an identifier of an application in the terminal;
  • the first obtaining unit 1020 is configured to access the application according to the identifier of the application, and from the In the program, obtain the application event information to be processed;
  • the sending unit 1030 is configured to send a notification message to the cloud server, where the notification message includes the application event information.
  • the receiving unit 1010 is further configured to receive a feedback message sent by the cloud server, where the feedback message includes event execution information of the application event information obtained by the cloud server according to virtual data on a user line;
  • the executing unit 1040 is configured to perform corresponding execution on the application event according to the event execution information.
  • the receiving unit 1010 is further configured to receive an access application authorization instruction input by the user, where the access application authorization instruction includes an identifier of the application;
  • the device further includes: a determining unit 1050, configured to determine, when the device detects that the application has been started, whether the application has been authorized to access the application;
  • a second obtaining unit 1060 configured to: if the device determines that the application is authorized to access the application, access the application according to the identifier of the application, and obtain a user original in the application data;
  • the statistic unit 1070 is configured to perform statistical processing on the original data of the user to obtain user feature data.
  • the sending unit 1030 is further configured to send the user feature data to the cloud server according to a preset sending rule, so that the cloud server sends the user feature data to the big data system module, where the big data is
  • the system module forms virtual data on the user line that matches the user according to the user feature data.
  • the device further includes: a determining unit 1080, configured to determine whether the application program has stopped running;
  • the second obtaining unit 1060 is further configured to stop acquiring user raw data in the application if the application has stopped running.
  • the statistic unit 1070 is specifically configured to determine a common feature of the user original data
  • the user raw data is statistically processed by using the common feature to obtain the user feature data.
  • the device further includes: a display unit 1090, configured to display an execution result of the application event.
  • the device processes an authorization instruction according to an application input by a user, accesses an application, and acquires application event information to be processed from the application; the device The application event information is sent to the cloud server, and the device performs corresponding execution on the application event according to the event execution information fed back by the cloud server, and displays the execution result.
  • the solution provided by the embodiment of the present invention avoids the prior art that the intelligent assistant provides information or service only after the user issues the demand instruction, and cannot provide the most suitable service for the user because it cannot interact with the application or function on the terminal. The situation enables the terminal to interact with the application or function on the terminal according to the authorization of the user, instead of the user intelligently processing the application event, providing the user with appropriate information and services to improve the user experience.
  • the embodiment of the present invention further provides another device for intelligently processing an application event, which is used to implement the intelligent processing application event provided in the foregoing embodiment. method.
  • the device is applied to a cloud server.
  • the apparatus includes: a receiving unit 1110, an obtaining unit 1120, and a transmitting unit 1130.
  • the receiving unit 1110 is configured to receive a notification message sent by the terminal, where the notification message includes application event information to be processed by the application in the terminal;
  • the obtaining unit 1120 is configured to obtain event execution information of the application event information according to the stored virtual data on the user line;
  • the sending unit 1130 is configured to send a feedback message to the terminal, where the feedback message includes the event execution information. And causing the terminal to perform corresponding execution on the application event according to the event execution information.
  • the receiving unit 1110 is further configured to receive user feature data sent by the terminal;
  • the sending unit 1130 is further configured to send the user feature data to a big data system module
  • the receiving unit 1110 is further configured to: receive virtual data on the user line that is matched with the user formed by the big data system module after performing the mining process on the user feature data;
  • the device further includes: a storage unit 1140, configured to perform storage processing on the virtual data on the user line.
  • the notification message received by the receiving unit 1110 further includes an identifier of the terminal
  • the obtaining unit 1120 is further configured to acquire, according to the identifier of the terminal, the virtual data of the user line that matches the identifier of the terminal.
  • the virtual data of the user line stored by the storage unit 1140 includes a user portrait, user association information, and user behavior information;
  • the obtaining unit 1120 is specifically configured to determine, according to the application event information, the event execution information that matches the application event information from the user portrait, the user association information, and the user behavior information.
  • the device obtains event execution information of application event information according to the stored virtual data of the user line, and sends event execution information to the terminal, so that the terminal according to the terminal
  • the event execution information performs corresponding execution on the application event and displays the execution result.
  • the intelligent assistant provides information or service only after the user issues the demand instruction, and cannot provide the most suitable service for the user because it cannot interact with the application or function on the terminal.
  • the situation enables the terminal to interact with the application or function on the terminal according to the authorization of the user, instead of the user intelligently processing the application event, providing the user with appropriate information and services to improve the user experience.
  • the steps of a method or algorithm described in connection with the embodiments disclosed herein can be implemented in hardware, a software module executed by a processor, or a combination of both.
  • the software module can be placed in random access memory (RAM), memory, read only memory (ROM), electrically programmable ROM, electrically erasable programmable ROM, registers, hard disk, removable disk, CD-ROM, or technical field. Any other form of storage medium known.

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Abstract

本发明实施例涉及一种智能处理应用事件的方法与装置。所述方法包括:接收用户输入的应用处理授权指令,所述应用处理授权指令包括终端中应用程序的标识;根据所述应用程序的标识,接入所述应用程序,并从所述应用程序中,获取待处理的应用事件信息;向云服务器发送通知消息,所述通知消息包括所述应用事件信息;接收所述云服务器发送的反馈消息,所述反馈消息包括所述云服务器根据用户线上虚拟数据得到的所述应用事件信息的事件执行信息;根据所述事件执行信息,对所述应用事件进行对应执行。

Description

智能处理应用事件的方法与装置 技术领域
本发明涉及通信技术领域,尤其涉及一种智能处理应用事件的方法与装置。
背景技术
随着移动互联网和人工智能技术的发展,各种智能助理层出不穷。从其本质上来说,智能助理的目的是为了让用户更方便地获得各种线上信息或服务。
目前,各种智能助理(例如:苹果Siri、谷歌助手、微软小娜Contana、百度度秘等)提供了一种对话式入口,通过对用户的语音识别或语义理解,确定用户的音频内容,执行用户的各种指令。根据用户的指令查询信息,进而满足用户需求。
智能助理包括前端(客户端侧)和后端(云服务器侧)两个部分。前端通过人机语音对话的交互方式,理解用户的需求。后端则与众多第三方服务对接,例如:提供信息类查询服务、任务型服务等。
如前所述,智能助理提供的是一种人机对话方式为用户提供服务。但这些智能助理自身也出现以下缺陷:1)被动提供信息或服务,即其仅可在用户发出需求指令后为其提供相应的信息或服务;2)智能助理无法与终端上众多的应用或功能进行交互,无法对用户进行全面理解。由于智能助理不能充分理解用户,因此,即使智能助理通过人机对话方式完全确定用户说出的需求指令,也难以为用户提供最合适的服务,降低用户体验。
发明内容
本发明实施例提供了一种智能处理应用事件的方法与装置,实现了终端根据用户的授权,与终端上的应用或功能进行交互,替代用户智能处理应用事件,为用户提供合适的信息和服务,提高用户体验。
第一方面,本发明实施例提供了一种智能处理应用事件的方法,所述方法包括:
接收用户输入的应用处理授权指令,所述应用处理授权指令包括终端中应用程序的标识;
根据所述应用程序的标识,接入所述应用程序,并从所述应用程序中,获取待处理的应用事件信息;
向云服务器发送通知消息,所述通知消息包括所述应用事件信息;
接收所述云服务器发送的反馈消息,所述反馈消息包括所述云服务器根据用户线上虚拟数据得到的所述应用事件信息的事件执行信息;
根据所述事件执行信息,对所述应用事件进行对应执行。
结合第一方面,在第一方面的第一种实现方式中,所述接收用户输入的管理应用授权信息之前,所述方法还包括:
接收所述用户输入的接入应用授权指令,所述接入应用授权指令包括所述应用程序的标识;
当检测到所述应用程序已启动时,确定是否已被所述用户授权接入所述应用程序;
如果确定已被所述用户授权接入所述应用程序,则根据所述应用程序的标识接入所述应用程序并获取所述应用程序中的用户原始数据;
对所述用户原始数据进行统计处理,得到用户特征数据;
根据预设的发送规则,向所述云服务器发送所述用户特征数据,以使所述云服务器向大数据系统模块发送所述用户特征数据,所述用户特征数据用于使所述大数据系统模块形成与所述用户匹配的用户线上虚拟数据。
结合第一方面的第一种可能的实现方式,在第二种实现方式中,所述方法还包括:
判断所述应用程序是否已停止运行;
如果所述应用程序已停止运行,则停止获取所述应用程序中的用户原始数据。
结合第一方面的第一种可能的实现方式,在第三种实现方式中,所述方法还包括:
判断所述应用程序是否已停止运行;
如果所述应用程序已停止运行,则停止获取所述应用程序中的用户原始数据。
结合第一方面,在第四种实现方式中,所述方法还包括:对所述应用事件的执行结果进行显示。
第二方面,本发明实施例提供了一种智能处理应用事件的方法,所述方法包括:
接收终端发送的通知消息,所述通知消息包括所述终端中应用程序待处理的应用事件信息;
根据已存储的用户线上虚拟数据得到所述应用事件信息的事件执行信息;
向所述终端发送反馈消息,所述反馈消息包括所述事件执行信息,所述事件执行信息用于使所述终端对所述应用事件进行对应执行。
结合第二方面,在第二方面的第一种可能的实现方式中,接收终端发送的通知消息,所述通知消息包括所述终端中应用程序待处理的应用事件信息;
根据已存储的用户线上虚拟数据得到所述应用事件信息的事件执行信息;
向所述终端发送反馈消息,所述反馈消息包括所述事件执行信息,所述事件执行信息用于使所述终端对所述应用事件进行对应执行,并显示执行结果。
结合第二方面,在第二方面的第二种可能的实现方式中,所述通知消息还包括所述终端的标识;
根据已存储的用户线上虚拟数据得到所述应用事件信息的事件执行信息之前,所述方法还包括:
根据所述终端的标识,获取与所述终端的标识匹配的所述用户线上虚拟数据。
结合第二方面,在第二方面的第三种可能的实现方式中,所述通知消息还包括所述终端的标识;
根据已存储的用户线上虚拟数据得到所述应用事件信息的事件执行信息之前,所述方法还包括:
根据所述终端的标识,获取与所述终端的标识匹配的所述用户线上虚拟数据。
第三方面,本发明实施例提供了一种智能处理应用事件的装置,应用于终端,所述装置包括:
接收单元,用于接收用户输入的应用处理授权指令,所述应用处理授权指令包括所 述终端中应用程序的标识;
第一获取单元,用于根据所述应用程序的标识,接入所述应用程序,并从所述应用程序中,获取待处理的应用事件信息;
发送单元,用于向云服务器发送通知消息,所述通知消息包括所述应用事件信息;
所述接收单元还用于,接收所述云服务器发送的反馈消息,所述反馈消息包括所述云服务器根据用户线上虚拟数据得到的所述应用事件信息的事件执行信息;
执行单元,用于根据所述事件执行信息,对所述应用事件进行对应执行。
结合第三方面,在第三方面的第一种可能的实现方式中,所述接收单元还用于,接收所述用户输入的接入应用授权指令,所述接入应用授权指令包括所述应用程序的标识;
所述装置还包括:确定单元,用于当所述装置检测到所述应用程序已启动时,确定是否已被所述用户授权接入所述应用程序;
第二获取单元,用于如果所述装置确定已被所述用户授权接入所述应用程序,则根据所述应用程序的标识接入所述应用程序并获取所述应用程序中的用户原始数据;
统计单元,用于对所述用户原始数据进行统计处理,得到用户特征数据;
所述发送单元还用于,根据预设的发送规则,向所述云服务器发送所述用户特征数据,以使所述云服务器向大数据系统模块发送所述用户特征数据,所述用户特征数据用于使所述大数据系统模块形成与所述用户匹配的用户线上虚拟数据。
结合第三方面的第一种可能的实现方式,在第二种可能的实现方式中,所述装置还包括:
判断单元,用于判断所述应用程序是否已停止运行;
所述第二获取单元还用于,如果所述应用程序已停止运行,则停止获取所述应用程序中的用户原始数据。
结合第三方面的第一种可能的实现方式,在第三种可能的实现方式中,所述统计单元具体用于,确定所述用户原始数据的共同特征;
利用所述共同特征对所述用户原始数据进行统计处理,得到所述用户特征数据。
结合第三方面,在第四种可能的实现方式中,所述装置还包括:显示单元,用于对所述应用事件的执行结果进行显示。
第四方面,本发明实施例提供了一种智能处理应用事件的装置,应用于服务器,所述装置包括:
接收单元,用于接收终端发送的通知消息,所述通知消息包括所述终端中应用程序待处理的应用事件信息;
获取单元,用于根据已存储的用户线上虚拟数据得到所述应用事件信息的事件执行信息;
发送单元,用于向所述终端发送反馈消息,所述反馈消息包括所述事件执行信息,所述事件执行信息用于使所述终端对所述应用事件进行对应执行。
结合第四方面,在第四方面的第一种可能的实现方式中,所述接收单元还用于,接收所述终端发送的用户特征数据;
所述发送单元还用于,向大数据系统模块发送所述用户特征数据;
所述接收单元还用于,接收所述大数据系统模块对所述用户特征数据进行统计归类 处理后形成的与用户匹配的用户线上虚拟数据;
所述装置还包括:存储单元,用于对所述用户线上虚拟数据进行存储处理。
结合第四方面,在第四方面的第二种可能的实现方式中,所述接收单元接收的所述通知消息还包括所述终端的标识;
所述获取单元还用于,根据所述终端的标识,获取与所述终端的标识匹配的所述用户线上虚拟数据。
结合第四方面的第一种可能的实现方式,在第三种可能的实现方式中,所述存储单元存储的所述用户线上虚拟数据包括用户画像、用户关联信息以及用户行为信息;
所述获取单元具体用于,根据所述应用事件信息,从所述用户画像、用户关联信息以及用户行为信息中确定出与所述应用事件信息匹配的所述事件执行信息。
第五方面,本发明实施例提供了一种终端,所述终端包括:射频模块、处理器、触摸屏控制器以及触摸显示屏;
所述触摸显示屏,用于接收用户输入的应用处理授权指令并将所述应用处理授权指令传输至所述触摸屏控制器,所述应用处理授权指令包括所述终端中应用程序的标识;
所述触摸屏控制器,用于接收所述触摸显示屏传输的所述应用处理授权指令并向所述处理器传输所述应用处理授权指令;
所述处理器,用于接收所述触摸屏控制器传输的所述应用处理授权指令,根据所述应用程序的标识,接入所述应用程序并从所述应用程序中,获取待处理的应用事件信息;
所述处理器,还用于生成通知消息并将所述通知消息传输至所述射频模块,所述通知消息包括所述应用事件信息;
所述射频模块,用于接收所述处理器传输的所述通知消息并向云服务器发送所述通知消息;接收所述云服务器发送的反馈消息并将所述反馈消息传输至所述处理器,所述反馈消息包括所述云服务器根据用户线上虚拟数据得到的应用事件信息的事件执行信息;
所述处理器,还用于接收所述射频模块传输的所述反馈消息,根据所述事件执行信息,对应用事件进行对应执行。
结合第五方面,在第五方面的第一种可能的实现方式中,所述触摸显示屏,还用于接收用户输入的接入应用授权指令并将接入应用授权指令传输至所述触摸屏控制器,所述接入应用授权指令包括所述应用程序的标识;
所述触摸屏控制器,还用于接收所述触摸显示屏传输的所述接入应用授权指令并向所述处理器传输所述接入应用授权指令;
所述处理器,还用于接收所述触摸屏控制器传输的所述接入应用授权指令,检测所述应用程序是否已启动,当检测到所述应用程序已启动时,确定是否已被所述用户授权接入所述应用程序,如果确定已被所述用户授权接入所述应用程序,则根据所述应用程序的标识接入所述应用程序并获取所述应用程序中的用户原始数据,对所述用户原始数据进行统计处理,得到用户特征数据并将所述用户特征数据传输至所述射频模块;
所述射频模块,还用于接收所述处理器传输的所述用户特征数据,并根据预设的发送规则向所述云服务器发送所述用户特征数据,以使所述云服务器向大数据系统模块发送所述用户特征数据,所述用户特征数据用于使所述大数据系统模块形成与所述用户匹配的所述用户线上虚拟数据。
结合第五方面的第一种可能的实现方式,在第二种可能的实现方式中,所述处理器,还用于判断所述应用程序是否已停止运行,如果所述应用程序已停止运行,则停止获取所述应用程序中的所述用户原始数据。
结合第五方面的第一种可能的实现方式,在第三种可能的实现方式中,所述处理器还具体用于,确定所述用户原始数据的共同特征,利用所述用户原始数据的共同特征对所述用户原始数据进行统计处理,得到所述用户特征数据。
结合第五方面,在第四种可能的实现方式中,所述处理器还用于,将所述应用事件的执行结果传输至所述触摸屏控制器;
所述触摸屏控制器,还用于接收所述处理器传输的所述执行结果并将所述执行结果传输至所述触摸显示屏;
所述触摸显示屏,还用于接收所述触摸屏控制器传输的所述执行结果并对所述执行结果进行显示。
第六方面,本发明实施例提供了一种云服务器,所述云服务器包括:
接收器,用于接收终端发送的通知消息,所述通知消息包括所述终端中应用程序待处理的应用事件信息;
处理器,用于根据已存储的用户线上虚拟数据得到所述应用事件信息的事件执行信息;
发送器,用于向所述终端发送反馈消息,所述反馈消息包括所述事件执行信息,所述事件执行信息用于使所述终端根据所述事件执行信息对所述应用事件进行对应执行。
结合第六方面,在第六方面的第一种可能的实现方式中,所述接收器还用于,接收所述终端发送的用户特征数据;
所述发送器还用于,向大数据系统模块发送所述用户特征数据;
所述接收器还用于,接收所述大数据系统模块对所述用户特征数据进行统计归类处理后形成的与用户匹配的用户线上虚拟数据;
所述处理器还用于,对所述用户线上虚拟数据进行存储处理。
结合第六方面,在第六方面的第二种可能的实现方式中,所述接收器接收的所述通知消息还包括所述终端的标识;
所述处理器还用于,根据所述终端的标识,获取与所述终端的标识匹配的所述用户线上虚拟数据。
结合第六方面,在第六方面的第三种可能的实现方式中,所述用户线上虚拟数据包括用户画像、用户关联信息以及用户行为信息;
所述处理器还具体用于,根据所述应用事件信息,从所述用户画像、用户关联信息以及用户行为信息中确定出与所述应用事件信息匹配的所述事件执行信息。
在第七方面,本发明实施例提供了一种计算机可读存储介质,所述计算机可读存储介质上储存有计算机程序,所述计算机程序被终端包括的处理器执行如前述各方面所述的方法。
在第八方面,本发明实施例提供了一种计算机可读存储介质,所述计算机可读存储介质上储存有计算机程序,所述计算机程序被云服务器包括的处理器执行如前述各方面所述的方法。
相较于现有技术,本发明实施例提供的方案避免了现有技术中智能助理仅在用户发出需求指令后为其提供信息或服务,且由于无法与终端上的应用或功能进行交互,不能为用户提供最合适的服务的情况,实现了终端根据用户的授权,与终端上的应用或功能进行交互,替代用户处理应用事件,为用户提供合适的信息和服务,提高用户体验。
附图说明
图1为本发明实施例提供的智能处理应用事件的系统架构示意图;
图2为本发明实施例提供的一种终端的结构示意图;
图3为本发明实施例提供的一种云服务器的结构示意图;
图4为本发明实施例提供的终端与云服务器中智能助理客户端示意图;
图5为本发明实施例提供的一种智能处理应用事件的方法流程图;
图6为本发明实施例提供的另一种智能处理应用事件的方法流程图;
图7为本发明实施例提供的第一智能助理客户端采集、分析数据流程图;
图8为本发明实施例提供的第二智能助理客户端形成用户线上虚拟数据流程图;
图9为本发明实施例提供的智能助理客户端智能处理应用事件流程图;
图10为本发明实施例提供的一种智能处理应用事件的装置结构示意图;
图11为本发明实施例提供的另一种智能处理应用事件的装置结构示意图。
具体实施方式
下面将结合本发明实施例中的附图,对本发明实施例中的技术方案进行清楚、完整地描述,显然,所描述的实施例仅仅是本发明一部分实施例,而不是全部的实施例。基于本发明中的实施例,本领域技术人员所获得的所有其它实施例,都属于本发明保护的范围。
请参考图1,图1为本发明实施例提供的智能处理应用事件的系统架构示意图。本发明实施例提供的系统架构由多个终端以及云服务器构成。
在本发明实施例中,终端具体可以为具有对消息进行收发、处理以及显示功能的智能终端,该智能终端可以包括智能手机、平板电脑、可穿戴设备等等。
如图1所示,多个终端通过无线网络接入云服务器。云服务器可与终端进行通信交互。例如:云服务器向终端发送控制指令、接收终端发送的执行结果等等。
本发明实施例中,终端根据用户输入的应用处理授权指令,接入应用程序并从应用程序中,获取待处理的应用事件信息。终端向云服务器发送应用事件信息,终端根据云服务器反馈的事件执行信息对应用事件进行对应执行,并显示执行结果。实现了根据用户的授权,与终端上的应用或功能进行交互,替代用户处理应用事件,为用户提供合适的信息和服务,提高用户体验。
请参见图2,是本发明实施例提供的一种终端的结构示意图。该终端200可以包括:基带芯片210、存储器215(一个或多个计算机可读存储介质)、射频(RF)模块216、外围系统217。这些部件可在一个或多个通信总线214上通信。
外围系统217主要用于实现控制设备200和用户/外部环境之间的交互功能,包括控制设备200的输入输出装置。在一些实施例中,外围系统217可以包括:触摸屏控制器218、摄像头控制器219、音频控制器220以及传感器管理模块221。其中,各个控制器可与各 自对应的外围设备(如触摸显示屏222、摄像头223、音频电路224以及传感器225)耦合。在一些实施例中,摄像头223可以是3D摄像头。需要说明的,外围系统217还可以包括其他I/O外设。
所述触摸显示屏222可用于显示由用户输入的信息或向用户展示信息。例如可以展示控制设备200的各种菜单、展示正在运行的应用程序的界面。例如按键(Button),文本输入框(Text),滑动条(Scroll Bar),菜单(Menu)等等。触摸显示屏222可包括触控面板和显示面板。可选的,可以采用液晶显示器(英文:Liquid Crystal Display,简称:LCD)、有机发光二极管(英文:Organic Light-Emitting Diode,简称:OLED)等形式来配置显示面板。进一步的,触控面板可覆盖显示面板,当触控面板检测到在其上或附近的触摸操作后,传送给处理器211以确定触摸事件的类型,随后处理器211根据触摸事件的类型在显示面板上提供相应的视觉输出。触控面板与显示面板是作为两个独立的部件来实现控制设备200的输入和输出功能,但是在某些实施例中,可以将触控面板与显示面板集成而实现控制设备200的输入和输出功能。
基带芯片210可集成包括:一个或多个处理器211、时钟模块212以及电源管理模块213。集成于基带芯片210中的时钟模块212主要用于为处理器211产生数据传输和时序控制所需要的时钟。集成于基带芯片210中的电源管理模块213主要用于为处理器211、射频模块216以及外围系统提供稳定的、高精确度的电压。
射频(RF)模块216用于接收和发送射频信号,主要集成了控制设备200的接收器和发射器。射频(RF)模块216通过射频信号与通信网络和其他通信设备通信。在一些实施例中,射频(RF)模块216可包括但不限于:天线系统、RF收发器、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芯片、SIM卡和存储介质等。在一些实施例中,可在单独的芯片上实现射频(RF)模块216。通常情况下,可以通过该射频模块进行无线传输,如蓝牙(英文:Bluetooth)传输、无线保真(英文:WIreless-Fidelity,简称:WI-FI)传输、第三代移动通信技术(英文:3rd-Generation,简称:3G)传输、第四代移动通信技术(英文:the 4th Generation mobile communication,简称:4G)传输、紫蜂协议(Zigbee)等。
存储器215与处理器211耦合,用于存储各种软件程序和/或多组指令。在一些实施例中,存储器215可包括高速随机存取的存储器,并且也可包括非易失性存储器,例如一个或多个磁盘存储设备、闪存设备或其他非易失性固态存储设备。存储器215可以存储操作系统(下述简称系统),例如ANDROID,IOS,WINDOWS,或者LINUX等嵌入式操作系统。
存储器215还可以存储网络通信程序,该网络通信程序可用于与一个或多个控制设备进行通信。存储器215还可以存储用户接口程序,该用户接口程序可以通过图形化的操作界面将应用程序的内容形象逼真的显示出来,并通过菜单、对话框以及按键等输入控件接收用户对应用程序的控制操作。
存储器215还可以存储一个或多个应用程序。如图2所示,这些应用程序可包括:社交应用程序(例如Facebook),图像管理应用程序(例如相册),地图类应用程序(例如谷歌地图),浏览器(例如Safari,Google Chrome)等等。
本发明实施例提供的控制设备200仅为本发明实施例提供的一个例子,并且,控制设备200可具有比示出的部件更多或更少的部件,可以组合两个或更多个部件,或者可具 有部件的不同配置实现。
另外,前述实施例提供的终端200,用以执行本发明实施例中的智能处理应用事件的方法。
可以理解的是,前述存储器215中存储了各种软件程序和/或多组指令。下述的射频模块216、处理器211、触摸屏控制器218以及触摸显示屏223通过调用存储器215中的各种软件程序和/或多组指令实现控制设备的功能。
具体地,触摸显示屏223,接收用户输入的应用处理授权指令并将应用处理授权指令传输至触摸屏控制器218。其中,应用处理授权指令包括终端中应用程序的标识。触摸屏控制器218,接收触摸显示屏223传输的应用处理授权指令并向处理器211传输应用处理授权指令。
处理器211,接收触摸屏控制器218传输的应用处理授权指令,从应用处理授权指令中获取应用程序的标识。根据应用程序的标识,接入应用程序,并从应用程序中,获取待处理的应用事件信息。处理器211,生成通知消息,将应用事件信息携带在通知消息中,并将通知消息传输至射频模块216。
射频模块216,接收处理器211传输的通知消息,向云服务器发送通知消息。其中,通知消息包括应用事件信息。
射频模块216,接收云服务器发送的反馈消息并将反馈消息传输至处理器211。其中,反馈消息包括云服务器根据用户线上虚拟数据得到的应用事件信息的事件执行信息。
处理器211,接收射频模块216传输的反馈消息,从反馈消息中获取事件执行信息。根据事件执行信息,对应用事件进行对应执行。
进一步地,触摸显示屏223,还接收用户输入的接入应用授权指令并将接入应用授权指令传输至触摸屏控制器218。其中,接入应用授权指令包括应用程序的标识。触摸屏控制器218,接收触摸显示屏223传输的接入应用授权指令并向处理器211传输接入应用授权指令。
处理器211,还接收触摸屏控制器218传输的接入应用授权指令,从接入应用授权指令中获取应用程序的标识。处理器211还检测该应用程序是否已启动。当处理器211检测到应用程序已启动时,处理器211确定是否已被用户授权接入应用程序。如果处理器211确定已被用户授权接入应用程序,则根据应用程序的标识接入应用程序并获取应用程序中的用户原始数据。处理器211对用户原始数据进行统计处理,得到用户特征数据。处理器211将用户特征数据传输至射频模块216。
射频模块216,还接收处理器211传输的用户特征数据,并根据预设的发送规则向云服务器发送用户特征数据,以使云服务器向大数据系统模块发送用户特征数据。用户特征数据用于使大数据系统模块形成与用户匹配的用户线上虚拟数据。
进一步地,处理器211,还判断应用程序是否已停止运行。如果应用程序已停止运行,则处理器211停止获取应用程序中的用户原始数据。
进一步地,处理器211在对用户原始数据进行统计处理,得到用户特征数据具体为:处理器211确定用户原始数据的共同特征。处理器211利用用户原始数据的共同特征对用户原始数据进行统计处理,得到用户特征数据。
进一步地,处理器211,还将应用事件的执行结果传输至触摸屏控制器218。
触摸屏控制器218,接收处理器211传输的执行结果并将执行结果传输至触摸显示屏223。触摸显示屏223,接收触摸屏控制器218传输的执行结果,对执行结果进行显示,以使用户看到执行结果。
因此,通过应用本发明实施例提供的终端,终端根据用户输入的应用处理授权指令,接入应用程序并从应用程序中,获取待处理的应用事件信息;终端向云服务器发送应用事件信息,终端根据云服务器反馈的事件执行信息对应用事件进行对应执行,并显示执行结果。本发明实施例提供的方案避免了现有技术中智能助理仅在用户发出需求指令后为其提供信息或服务,且由于无法与终端上的应用或功能进行交互,不能为用户提供最合适的服务的情况,实现了终端根据用户的授权,与终端上的应用或功能进行交互,替代用户智能处理应用事件,为用户提供合适的信息和服务,提高用户体验。
请参见图3,是本发明实施例提供的一种云服务器的结构示意图。该云服务器300可以包括:接收器310、处理器320、发送器330以及存储器340(一个或多个可读存储介质)。这些部件可在一个或多个通信总线350上通信。
总线350可以是外设部件互连标准(英文:peripheral component interconnect,简称:PCI)总线或扩展工业标准结构(英文:extended industry standard architecture,简称:EISA)总线等。所述总线可以分为地址总线、数据总线、控制总线等。为便于表示,图3中仅用一条粗线表示,但并不表示仅有一根总线或一种类型的总线。
接收器310、发送器330为所述云服务器与其它设备进行通信交互的通信接口。可以为有线通信接入口,无线通信接口或其组合,其中,有线通信接口例如可以为以太网接口。以太网接口可以是光接口,电接口或其组合。无线通信接口可以为WLAN接口,蜂窝网络通信接口或其组合等。
处理器320可以是中央处理器(英文:central processing unit,简称:CPU),网络处理器(英文:network processor,简称:NP)或者CPU和NP的组合。
处理器320还可以进一步包括硬件芯片。上述硬件芯片可以是专用集成电路(英文:application-specific integrated circuit,简称:ASIC),可编程逻辑器件(英文:programmable logic device,简称:PLD)或其组合。上述PLD可以是复杂可编程逻辑器件(英文:complex programmable logic device,简称:CPLD),现场可编程逻辑门阵列(英文:field-programmable gate array,简称:FPGA),通用阵列逻辑(英文:generic array logic,简称:GAL)或其任意组合。
存储器340可以包括易失性存储器(英文:volatile memory),例如随机存取存储器(英文:random-access memory,简称:RAM);存储器也可以包括非易失性存储器(英文:non-volatile memory),例如快闪存储器(英文:flash memory),硬盘(英文:hard disk drive,简称:HDD)或固态硬盘(英文:solid-state drive,简称:SSD);存储器340还可以包括上述种类的存储器的组合。
存储器340还可以用于存储程序指令,当处理器320是CPU时,处理器320调用该存储器340中存储的程序指令;当处理器320是FPGA,ASIC等硬件时,处理器320无需存储器340存储程序指令,技术人员可将程序指令直接写入FPGA、ASIC的硬件处理器中,FPGA、ASIC可直接执行程序指令。
另外,前述实施例提供的云服务器,用以执行本发明实施例中的智能处理应用事件的 方法。
具体地,接收器310,接收终端发送的通知消息并将通知消息传输至处理器320。其中,通知消息包括终端中应用程序中待处理的应用事件信息。
处理器320,接收接收器310传输的通知消息,从通知消息中,获取应用事件信息。处理器320从存储器340中调用已存储的用户线上虚拟数据,得到应用事件信息的事件执行信息。处理器320生成反馈消息,并将事件执行信息携带在反馈消息中,将反馈消息传输至发送器330。
发送器330,接收处理器320传输的反馈消息,向终端发送反馈消息。其中,反馈消息包括事件执行信息,该事件执行信息用于使终端根据事件执行信息对应用事件进行对应执行。
进一步地,接收器310,还接收终端发送的用户特征数据并将用户特征数据传输至处理器320。处理器320接收接收器310传输的用户特征数据,在确定接收的为用户特征数据后,将用户特征数据传输至发送器330。
发送器330,还接收处理器320传输的用户特征数据并向大数据系统模块发送用户特征数据。
接收器310,还接收大数据系统模块对用户特征数据进行统计归类处理后形成的与用户匹配的用户线上虚拟数据。接收器310将用户线上虚拟数据传输至处理器320。
处理器320,还接收接收器310传输的用户线上虚拟数据并将用户线上虚拟数据存储至存储器340。
进一步地,接收器310接收的通知消息还包括终端的标识。处理器320,还根据终端的标识,获取与终端的标识匹配的用户线上虚拟数据。
进一步地,存储器340中存储的用户线上虚拟数据包括用户画像、用户关联信息以及用户行为信息。处理器320根据用户线上虚拟数据得到应用事件信息的事件执行信息具体为:
处理器320根据应用事件信息,从用户画像、用户关联信息以及用户行为信息中确定出与应用事件信息匹配的事件执行信息。
因此,通过应用本发明实施例提供的云服务器,云服务器根据已存储的用户线上虚拟数据得到应用事件信息的事件执行信息,并向终端发送事件执行信息,以使终端根据事件执行信息对应用事件进行对应执行,并显示执行结果。本发明实施例提供的方案避免了现有技术中智能助理仅在用户发出需求指令后为其提供信息或服务,且由于无法与终端上的应用或功能进行交互,不能为用户提供最合适的服务的情况,实现了终端根据用户的授权,与终端上的应用或功能进行交互,替代用户智能处理应用事件,为用户提供合适的信息和服务,提高用户体验。
在前述实施例中,通过终端200以及云服务器300中各器件执行相应的程序指令,可使终端200以及云服务器300实现对应用事件的智能处理。终端200或者云服务器300还可在其内部分别设置一智能助理客户端。该智能助理客户端可为一程序化的软件模块。该软件模块可为存储在存储器中的程序指令。
请参见图4,图4为本发明实施例提供的终端与云服务器中智能助理客户端示意图。每个终端200内部均包括一个第一智能助理客户端410,云服务器300内部包括第二智能 助理客户端420。大数据系统模块430可处于云服务器300中,或者,处于另一云服务器中。图4以大数据系统模块430处于云服务器300中为例进行说明。
终端200以及云服务器300上电后,终端200中的处理器211或者云服务器300中的处理器320通过调用存储器中存储的程序指令,启动各自的智能助理客户端,由第一智能助理客户端以及第二智能助理客户端实现对应用事件的智能处理。
具体地,第一智能助理客户端410,接收用户输入的应用处理授权指令。其中,应用处理授权指令包括终端中的应用程序标识。根据应用程序标识,第一智能助理客户端410接入应用程序并从应用程序中,获取待处理的应用事件信息。第一智能助理客户端410向第二智能助理客户端420发送通知消息。其中,通知消息包括应用事件信息。
第二智能助理客户端420,接收第一智能助理客户端410发送的通知消息。第二智能助理客户端420根据已存储的用户线上虚拟数据得到应用事件信息的事件执行信息。第二智能助理客户端420向第一智能助理客户端410发送反馈消息。其中,反馈消息包括事件执行信息。
第一智能助理客户端410还接收第二智能助理客户端420发送的反馈消息。第一智能助理客户端420根据事件执行信息,对应用事件进行对应执行,并显示执行结果。
进一步地,云服务器还包括大数据系统模块430。
第一智能助理客户端410还接收用户输入的接入应用授权指令。其中,接入应用授权指令包括应用程序的标识。当第一智能助理客户端410检测到应用程序已启动时,第一智能助理客户端410确定是否已被用户授权接入所述应用程序。如果第一智能助理客户端410确定已被用户授权接入应用程序,则根据应用程序的标识接入应用程序并获取应用程序中的用户原始数据。第一智能助理客户端410对用户原始数据进行统计处理,得到用户特征数据。第一智能助理客户端410根据预设的发送规则,向第二智能助理客户端420发送所述用户特征数据。
第二智能助理客户端420,还接收第一智能助理客户端410发送的用户特征数据。第二智能助理客户端420向大数据系统模块发送用户特征数据。第二智能助理客户端420接收大数据系统模块对用户特征数据进行挖掘处理后形成的与用户匹配的用户线上虚拟数据。第二智能助理客户端420对用户线上虚拟数据进行存储处理。
大数据系统模块430,接收第二智能助理客户端420发送的用户特征数据。大数据系统模块430对用户特征数据进行挖掘处理,形成与用户匹配的用户线上虚拟数据。大数据系统模块430向第二智能助理客户端420发送用户线上虚拟数据。
进一步地,第一智能助理客户端410对用户原始数据进行统计处理,得到用户特征数据具体为:
第一智能助理客户端410确定用户原始数据的共同特征。第一智能助理客户端410利用共同特征对用户原始数据进行统计处理,得到用户特征数据。
进一步地,用户线上虚拟数据包括用户画像。
大数据系统模块430对用户特征数据进行挖掘处理,形成与用户匹配的用户线上虚拟数据具体为:
大数据系统模块430确定用户特征数据的内容信息。大数据系统模块430利用内容信息,为用户特征数据分配标签。大数据系统模块430利用标签,形成与用户匹配的用户画 像。
进一步地,用户线上虚拟数据还包括用户关联信息以及用户行为信息。
大数据系统模块430对用户特征数据进行挖掘处理,形成与用户匹配的用户线上虚拟数据具体为:
大数据系统模块430从用户画像中获取属于用户社交标签的用户特征数据,并将属于用户社交标签的用户特征数据作为用户关联信息。大数据系统模块430从用户画像中获取属于用户行为标签的用户特征数据,并将属于用户行为标签的用户特征数据作为用户行为信息。
在本发明实施例中,第一智能助理客户端410还可进一步包括用户接口模块、用户授权管理模块、数据收集与分析模块、用户代理模块以及云侧接口模块。可以理解的是,用户接口模块、用户授权管理模块、数据收集与分析模块、用户代理模块以及云侧接口模块为程序化的软件模块。
其中,用户接口模块用于,为与用户进行交互时提供人机交互界面,如,GUI、CUI等。用户授权管理模块用于,管理用户对终端200中各个应用的授权。数据收集与分析模块用于,通过预设的各种方式收集终端200中各个应用内的用户原始数据,并对用户原始数据进行统计分析得到用户特征数据。用户代理模块用于,在用户的授权下代理用户触发应用内的各种操作命令并与应用互动。云侧接口模块用于,与云服务器300中第二智能助理客户端420进行信息交互。
第二智能助理客户端420还可进一步包括端侧接口模块、实时决策模块、用户智慧中心模块以及大数据系统接口模块。可以理解的是,端侧接口模块、实时决策模块、用户智慧中心模块以及大数据系统接口模块为程序化的软件模块。
其中,端侧接口模块用于,与终端200中第一智能助理客户端410进行信息交互。实时决策模块用于,根据第一智能助理客户端410发送的应用事件信息进行实时决策,向第一智能助理客户端410发送事件执行信息。用户智慧中心模块用于,根据第一智能助理客户端410发送的用户特征数据,形成与用户匹配的用户线上虚拟数据。大数据系统接口模块用于,与大数据系统模块430进行信息交互。
在图4中,接口1为用户与第一智能助理客户端410之间的接口。该接口1用于用户授权第一智能助理客户端410了解和获取各类应用程序内的用户原始数据,以及第一智能助理客户端410以各种方式(如语音、文字)与用户进行互动。
接口2为第一智能助理客户端410与终端内各种应用程序之间的接口。该接口2用于第一智能助理客户端410在用户授权后从应用程序中获取用户原始数据。此外,在用户授权下第一智能助理客户端410还可触发应用程序内的各种操作命令并与应用程序进行互动。
接口3为第一智能助理客户端410与第二智能助理客户端420之间的接口。该接口3用于第一智能助理客户端410向第二智能助理客户端420进行通信交互。
接口4为第二智能助理客户端420与大数据系统模块430之间的接口。该接口4用于第二智能助理客户端420与大数据系统模块进行通信交互。
需要说明的是,接口1-接口4可均为现有接口。
下面结合附图5,对本发明的实施例提供的方案进行说明。图5为本发明实施例提供 的一种智能处理应用事件的方法流程图。在本发明实施例中,执行主体为终端。具体包括以下步骤:
步骤510、接收用户输入的应用处理授权指令,所述应用处理授权指令包括所述终端中应用程序的标识。
具体地,当用户希望由终端代替自身处理一些事务(例如,接收快递)时,用户向终端输入应用处理授权指令,该应用处理授权指令包括终端中应用程序的标识。
步骤520、根据所述应用程序的标识,接入所述应用程序,并从所述应用程序中,获取待处理的应用事件信息。
具体地,终端从应用处理授权指令中获取应用程序的标识。根据应用程序的标识,终端接入应用程序,并从应用程序中,获取待处理的应用事件信息。
终端可通过对应用程序的数据读取、抓包分析、屏幕截图识别、爬虫分析等方式获取应用数据。终端在获取应用数据后,生成应用事件信息,在应用事件信息中包括获取的应用数据。
步骤530、向云服务器发送通知消息,所述通知消息包括所述应用事件信息。
具体地,终端生成应用事件信息后,向云服务器发送通知消息,该通知消息包括应用事件信息。
本发明实施例中,该通知消息还包括终端的标识,该终端的标识用于使云服务器根据终端的标识从数据库中获取与终端的标识匹配的用户线上虚拟数据。
步骤540、接收所述云服务器根据用户线上虚拟数据对所述应用事件信息进行处理后发送的反馈消息,所述反馈消息包括事件执行信息。
具体地,云服务器接收到通知消息后,从通知消息中获取应用事件信息以及终端的标识。根据终端的标识,云服务器从数据库中获取与终端的标识匹配的用户线上虚拟数据。云服务器根据用户线上虚拟数据,得到与应用事件信息对应的事件执行信息。
云服务器生成反馈消息,该反馈消息中包括事件执行信息。云服务器向终端发送反馈消息。
步骤550、根据所述事件执行信息,对所述应用事件进行对应执行。
具体地,终端接收到反馈消息后,从反馈消息中获取应用事件执行信息,根据事件执行信息,终端对应用事件进行对应执行。
因此,通过应用本发明实施例提供的智能处理应用事件的方法,终端根据用户输入的应用处理授权指令,接入应用程序并从应用程序中,获取待处理的应用事件信息;终端向云服务器发送应用事件信息,终端根据云服务器反馈的事件执行信息对应用事件进行对应执行,并显示执行结果。本发明实施例提供的方案避免了现有技术中智能助理仅在用户发出需求指令后为其提供信息或服务,且由于无法与终端上的应用或功能进行交互,不能为用户提供最合适的服务的情况,实现了终端根据用户的授权,与终端上的应用或功能进行交互,替代用户智能处理应用事件,为用户提供合适的信息和服务,提高用户体验。
可选地,在本发明实施例步骤550之后,还包括终端对应用事件执行结束后,显示应用事件的执行结果的步骤。终端对执行结果进行显示,以提示用户待处理的应用事件执行结束,用户可根据执行结果进行后续操作。
可选地,在本发明实施例步骤510之前,还包括对获取的应用程序中的用户原始数据 进行统计处理,得到用户特征数据以及将用户特征数据发送至云服务器的步骤。通过该步骤,可使云服务器在接收到用户特征数据后,向云服务器中的大数据系统模块发送用户特征数据。大数据系统模块根据用户特征数据形成与用户匹配的用户线上虚拟数据并将用户线上虚拟数据发送至云服务器,以使得云服务器在接收到应用事件信息后,根据用户线上虚拟数据得到事件执行信息,实现了终端可代替用户智能处理某些事务,并为用户提供最合适的服务,提高用户体验。
具体地,为了使终端接入应用程序、获取应用程序数据等功能,用户对终端进行授权。用户可同时对终端授权接入多个应用程序的权限,也可以对终端授权接入一个应用程序的权限。在本发明实施例中,以用户对终端授权接入一个应用程序的权项为例进行说明。
用户对终端接入应用程序1进行授权。即用户向终端输入接入应用授权指令。该接入应用授权指令包括终端可接入的应用程序1的标识。用户再次向终端输入第一触摸操作,该第一触摸操作用于使终端启动应用程序1。第一触摸操作可为点击操作。
终端接收到接入应用授权指令后,从接入应用授权指令中获取待接入的应用程序1的标识。根据该标识,终端周期性检测应用程序1是否已启动。如果检测到应用程序1已启动,则终端确定自身是否已被用户授权接入应用程序1。终端通过自身是否接收到应用程序1的接入应用授权指令判断是否已被用户授权。如果终端确定自身已被用户授权接入应用程序1(终端已接收到该应用程序1的接入应用授权指令),则终端根据应用程序1的标识接入应用程序1并获取应用程序1中的用户原始数据。
在本发明实施例中,终端可通过对应用程序1进行数据读取、抓包分析、屏幕截图识别、爬虫分析等方式获取用户原始数据。上述获取用户原始数据的方式为现有的获取数据方式,在此不再复述。
终端对用户原始数据进行统计处理,得到用户特征数据。根据预设的发送规则,终端向云服务器发送用户特征数据。云服务器接收到用户特征数据后,向大数据系统模块发送用户特征数据。大数据系统模块对用户特征数据进行挖掘处理,得到与用户匹配的用户线上虚拟数据。大数据系统模块再将用户线上虚拟数据发送至云服务器,云服务器对用户线上虚拟数据进行存储。
其中,终端对用户原始数据进行统计处理,得到用户特征数据,具体为:终端确定用户原始数据的共同特征;利用共同特征对用户原始数据进行统计处理,得到用户特征数据。
其中,发送规则具体为终端在发送用户特征数据时的发送策略,例如,终端在预设的某一时间段内发送用户特征数据;或者,发送的用户特征数据需为固定的格式等。
可选地,在向云服务器发送用户特征数据之后,还包括在判断出应用程序已停止运行时,不再获取应用程序中的用户原始数据的步骤。通过该步骤,在应用程序处于运行时,获取实时数据,更能准确地表示出用户对该应用程序的行为习惯,也为云服务器形成用户线上虚拟数据提供准确度。
具体地,用户向终端输入第二触摸操作,该第二触摸操作用于终端关闭并退出应用程序1。第二触摸操作可为点击操作。终端判断应用程序1是否已停止运行;如果应用程序1已停止运行,则终端停止获取应用程序1中的用户原始数据。
下面结合附图6,对本发明的实施例提供的方案进行说明。图6为本发明实施例提供的另一种智能处理应用事件的方法流程图。在本发明实施例中,执行主体为云服务器。具 体包括以下步骤:
步骤610、接收终端发送的通知消息,所述通知消息包括所述终端中应用程序待处理的应用事件信息。
具体地,终端向云服务器发送通知消息,该通知消息包括终端中应用程序中待处理的应用事件信息。
可以理解的是,在前述实施例中步骤510-步骤530中已详细说明了终端根据用户的应用处理授权指令,接入应用程序;从应用程序中获取待处理的应用事件信息;以及终端生成通知消息的过程,在此不再复述。
步骤620、根据已存储的用户线上虚拟数据得到所述应用事件信息的事件执行信息。
具体地,云服务器接收到通知消息后,从通知消息中获取应用事件信息。根据应用事件信息,云服务器从数据库中获取用户线上虚拟数据,云服务器根据用户线上虚拟数据得到与应用事件信息的事件执行信息。
本发明实施例中,用户线上虚拟数据具体为用于描述用户的属性、行为、社交关系等的数据。在云服务器数据库中存储了用户的用户线上虚拟数据。用户线上虚拟数据包括用户画像、用户关联信息、用户行为信息。云服务器根据应用事件信息,从用户画像、用户关联信息以及用户行为信息中确定出与应用事件信息匹配的事件执行信息。
用户画像(User Profile),即用户信息标签化,通过收集与分析用户的社会属性、生活习惯等主要信息的数据,抽象出一个用户的商业全貌作。用户关联信息为该用户的社交关系。用户行为信息为该用户处理事务的处理模式。
例如:用户A的用户画像包括姓名标签、年龄标签、照片标签、家庭状况标签、收入标签、工作标签等等。用户关联信息包括用户A的通讯录、通讯时长、消费对象等等。用户行为信息包括用户A在接收快递时,通过联系秘书前往领取快递;用户A在使用大众点评应用时,通过支付宝付款等等。
事件执行信息具体为用于执行应用事件的信息,也即是通过该事件执行信息可完成对应用事件的执行。
在一个例子中,应用事件信息具体包括:接收快递,快递物件、快递员姓名、电话、取货地点。云服务器先根据终端的标识,如终端A,从数据库中获取与终端A匹配的用户线上虚拟数据,如用户A线上虚拟数据。云服务器根据用户A线上虚拟数据确定用户A在接收快递时,通过微信联系秘书前往领取快递,也即是云服务器得到接收快递的事件执行信息为通过微信联系秘书前往领取快递。
步骤630、向所述终端发送反馈消息,所述反馈消息包括所述事件执行信息,所述事件执行信息用于所述终端根据所述事件执行信息对所述应用事件进行对应处理。
具体地,云服务器在得到应用事件信息的事件执行信息后,生成反馈消息,在该反馈消息中携带事件执行信息。云服务器向终端发送反馈消息。
终端接收反馈消息,从反馈消息中获取应用事件执行信息,根据事件执行信息,终端对应用事件进行对应执行。终端对应用事件执行结束后,显示应用事件的执行结果的步骤。终端对执行结果进行显示,以提示用户待处理的应用事件执行结束,用户可根据执行结果进行后续操作。
因此,通过应用本发明实施例提供的智能处理应用事件的方法,云服务器根据已存储 的用户线上虚拟数据得到应用事件信息的事件执行信息,并向终端发送事件执行信息,以使终端根据事件执行信息对应用事件进行对应执行,并显示执行结果。本发明实施例提供的方案避免了现有技术中智能助理仅在用户发出需求指令后为其提供信息或服务,且由于无法与终端上的应用或功能进行交互,不能为用户提供最合适的服务的情况,实现了终端根据用户的授权,与终端上的应用或功能进行交互,替代用户智能处理应用事件,为用户提供合适的信息和服务,提高用户体验。
可选地,本发明实施例步骤610中的通知消息还包括终端的标识,该终端的标识用于根据终端的标识从数据库中获取与终端的标识匹配的用户线上虚拟数据。
具体地,云服务器接收到通知消息后,从通知消息中获取应用事件信息以及终端的标识。根据终端的标识,云服务器从数据库中获取与终端的标识匹配的用户线上虚拟数据。该用户显示虚拟数据用于使云服务器得到与应用事件信息的事件执行信息。
可选地,在本发明实施例步骤610之前,还包括将终端发送的用户特征数据转发至大数据系统模块,以及接收大数据系统模块根据用户特征数据形成与用户匹配的用户线上虚拟数据的步骤。通过该步骤,可使在接收到终端发送的应用事件信息后,根据用户线上虚拟数据得到事件执行信息,实现了终端可代替用户智能处理某些事务,并为用户提供最合适的服务,提高用户体验。
具体地,终端从应用程序中获取用户原始数据,并对用户原始数据进行统计处理,得到用户特征数据。终端向云服务器发送用户特征数据。
在前述实施例中,已详细说明了终端获取用户原始数据、对原始数据进行统计处理,得到用户特征数据以及发送用户特征数据的详细过程,在此不再复述。
云服务器接收用户特征数据后,向大数据系统模块发送用户特征数据。大数据系统模块对用户特征数据进行挖掘处理,得到与用户匹配的用户线上虚拟数据。云服务器接收大数据系统模块发送的用户线上虚拟数据,并将用户线上虚拟数据进行存储处理。
可以理解的是,云服务器可接收多个终端发送的用户特征数据,多个终端可归属于同一用户或不同用户。云服务器可先将属于同一用户的用户特征数据集中整理存储后发送至大数据系统模块。
云服务器在接收到用户线上虚拟数据后,以表格的形式将用户线上虚拟数据与其匹配的用户存储在数据库中。
其中,大数据系统模块对用户特征数据进行挖掘处理,得到与用户匹配的用户线上虚拟数据为现有技术,在此不再复述。
下面结合附图7、附图8以及附图9,对本发明的实施例提供的方案进行说明。图7为本发明实施例提供的第一智能助理客户端采集、分析数据流程图、图8为本发明实施例提供的第二智能助理客户端形成用户线上虚拟数据流程图、图9为本发明实施例提供的智能助理客户端智能处理应用事件流程图。
在前述实施例中,终端或者云服务器中可分别设置一智能助理客户端,该智能助理客户端可对应用事件进行智能处理。下面对第一智能助理客户端、第二智能助理客户端包括的多个模块对应用事件进行智能处理进行详细描述。
下述的用户接口模块、用户授权管理模块、数据收集与分析模块、用户代理模块以及云侧接口模块处于第一智能助理客户端中。端侧接口模块、实时决策模块、用户智慧中心 模块以及大数据系统接口模块处于第二智能助理客户端中。
以图7为例对终端收集用户原始数据、以及对用户原始数据进行统计处理得到用户特征数据的过程进行说明,如图7所示,具体包括以下步骤:
步骤701、用户授权管理模块接收用户输入的接入应用授权指令。
具体地,为了使第一智能助理客户端实现接入应用程序、获取应用程序数据等功能,用户对第一智能助理客户端进行授权。用户可同时对第一智能助理客户端授权多个应用程序的权限,也可以对第一智能助理客户端授权一个应用程序的权限。在本发明实施例中,以用户对第一智能助理客户端授权一个应用程序的权项为例进行说明。
用户对第一智能助理客户端接入应用程序1进行授权。即用户接口模块为用户提供人机交互界面。用户向第一智能助理客户端输入接入应用授权指令,该接入应用授权指令包括可接入的应用程序1的标识。
用户授权管理模块接收接入应用授权指令。用户授权管理模块根据该接入应用授权指令确定自身后续可与应用程序1进行交互。
步骤702、终端接收用户输入的第一触摸操作。
具体地,用户再次向终端输入第一触摸操作,该第一触摸操作用于终端启动应用程序1。第一触摸操作可为点击操作。
终端根据第一触摸操作启动应用程序1。
步骤703、当用户授权管理模块检测到应用程序1已启动时,用户授权管理模块确定自身是否已被用户授权接入应用程序1。
具体地,用户授权管理模块接收到接入应用授权指令后,从接入应用授权指令中获取待接入的应用程序1的标识。根据该标识,用户授权管理模块周期性检测终端中的应用程序1是否已启动。如果检测到应用程序1已启动,则用户授权管理模块确定自身是否已被用户授权接入应用程序1。
进一步地,用户授权管理模块可通过自身是否接收到应用程序1的接入应用授权指令进行确定。
步骤704、如果用户授权管理模块确定自身已被用户授权接入应用程序1,则用户授权管理模块通知数据收集与分析模块接入应用程序1。
具体地,如果用户授权管理模块已被用户授权接入应用程序1(也即是,如果用户授权管理模块已接收到该应用程序1的接入应用授权指令),则用户授权管理模块通知数据收集与分析模块接入应用程序1。
步骤705、数据收集与分析模块获取应用程序1中的用户原始数据。
具体地,用户授权管理模块在通知数据收集与分析模块接入应用程序1时,还将应用程序1的标识发送至数据收集与分析模块。
利用应用程序1的标识,数据收集与分析模块入应用程序1并获取应用程序1中的用户原始数据。
进一步地,数据收集与分析模块接入应用程序1的过程具体为:数据收集与分析模块根据用户的授权接入应用程序1。例如,接入应用个授权指令还包括接入信息,如登录名、密码等。数据收集与分析模块可通过登录名、密码接入应用程序1。
可以理解的是,数据收集与分析模块可通过对应用程序1的数据读取、抓包分析、屏 幕截图识别、爬虫分析等方式获取用户原始数据。上述获取用户原始数据的方式为现有方式,在此不再复述。
在一个例子中,数据收集与分析模块获取的用户原始数据为:用户早上、中午、晚上分别点击某一链接。
步骤706、数据收集与分析模块对所述用户原始数据进行统计处理,得到用户特征数据。
具体地,数据收集与分析模块确定用户原始数据的共同特征;利用共同特征对用户原始数据进行统计处理,得到用户特征数据。
进一步地,根据前述例子,用户原始数据为“用户早上、中午、晚上分别点击某一链接”。数据收集与分析模块确定用户原始数据的共同特征为“用户点击某一链接”,根据该共同特征,数据收集与分析模块进行统计处理,得到用户特征数据为“每天点击某一链接三次”。
可以理解的是,前述例子是以用户原始数据为用户的行为数据类型为例进行说明。在实际应用中,其它类型的用户原始数据也可按前述方式进行统计处理。
步骤707、根据预设的发送规则,数据收集与分析模块向用户智慧中心模块发送用户特征数据。
具体地,数据收集与分析模块通过云侧接口模块向端侧接口模块发送用户特征数据。端侧接口模块向用户智慧中心模块转发该用户特征数据。用户智慧中心模块接收到用户特征数据后,通过大数据系统接口模块向大数据系统模块发送用户特征数据,以使大数据系统模块根据用户特征数据形成与用户匹配的用户线上虚拟数据。
前述实施例已进行详细描述了数据收集与分析模块向用户智慧中心模块发送用户特征数据的,在此不再复述。
需要说明的是,在图7中,并未分别示出数据收集与分析模块以及云侧接口模块,而是将数据收集与分析模块以及云侧接口模块合并示出。
步骤708、终端接收用户输入的第二触摸操作。
具体地,用户再次向终端输入第二触摸操作,该第二触摸操作用于终端停止并关闭应用程序1。第二触摸操作可为点击操作。
终端根据第二触摸操作停止并关闭应用程序1。
步骤709、用户授权管理模块判断应用程序1是否已停止运行。
步骤710、如果应用程序1已停止运行,则用户授权管理模块通知数据收集与分析模块停止获取应用程序1中的用户原始数据。
具体地,根据应用程序1的标识,用户授权管理模块周期性检测终端中的应用程序1是否已停止运行。如果检测到应用程序1已停止运行,则用户授权管理模块通知数据收集与分析模块停止获取应用程序1中的用户原始数据。
进一步地,用户授权管理模块通知数据收集与分析模块停止获取应用程序1中的用户原始数据时,还可向数据收集与分析模块发送数据收集策略,数据收集与分析模块可根据数据收集策略对用户原始数据进行获取。该数据收集策略包括数据的获取时机、数据获取方式等等。
以图8为例对第二智能助理客户端根据用户特征数据形成与用户匹配的用户线上虚拟 数据的过程进行说明,如图8所示,具体包括以下步骤:
步骤801、数据收集与分析模块1向用户智慧中心模块发送用户特征数据1。
具体地,第一智能助理客户端1中的数据收集与分析模块1在得到用户特征数据1后,通过云侧接口模块向第二智能助理客户端中端侧接口模块发送用户特征数据1。
端侧接口模块接收该用户特征数据1,并向用户智慧中心模块转发用户特征数据1。
在本发明实施例中,第一智能助理客户端1可处于终端1中。
需要说明的是,在图8中,并未分别示出用户智慧中心模块以及端侧接口模块,而是将端侧接口模块与用户智慧中心模块合并示出。
步骤802、数据收集与分析模块2向用户智慧中心模块发送用户特征数据2。
具体地,第一智能助理客户端2中的数据收集与分析模块2在得到用户特征数据2后,通过云侧接口模块向第二智能助理客户端中端侧接口模块发送用户特征数据2。
端侧接口模块接收该用户特征数据2,并向用户智慧中心模块转发用户特征数据2。
本发明实施例中,第一智能助理客户端2可处于终端2中,终端1与终端2可归属于同一用户,也可归属于不同用户。终端1与终端2归属于同一用户时,用户智慧中心模块从同一用户的多个终端中得到用户特征数据,可使用户智慧中心模块得到该用户更多的细节,在后续步骤中形成的用户线上虚拟数据与用户更吻合。终端1与终端2归属于不同用户时,可形成与多个用户匹配的用户线上虚拟数据。
本发明实施例中,以终端1与终端2归属于同一用户为例进行说明。
步骤803、用户智慧中心模块向大数据系统模块发送用户特征数据1以及用户特征数据2。
具体地,用户智慧中心模块接收到用户特征数据1以及用户特征数据2后,通过大数据系统接口模块,将用户特征数据1以及用户特征数据2发送至大数据系统模块。
本发明实施例中,大数据系统模块处于云服务器中。
步骤804、大数据系统模块接收其它应用系统发送的用户特征数据3。
具体地,大数据系统模块还可从其它应用系统中获取用户的用户特征数据3。
本发明实施例中,其它应用系统可具体为某一应用对应的应用服务器。例如:与应用程序“微信”对应的服务器、与应用程序“大众点评”对应的服务器。在该服务器中也存储了用户的用户特征数据。
步骤805、大数据系统模块对用户特征数据进行挖掘处理,形成与用户匹配的用户线上虚拟数据。
具体地,在本发明实施例中,用户线上虚拟数据包括用户画像。
大数据系统模块确定用户特征数据的内容信息;利用内容信息,大数据系统模块为用户特征数据分配标签;利用标签,大数据系统模块形成与用户匹配的用户画像。
在一个例子中,用户A的用户特征数据包括小明、20、用户头像、未婚、工资10000、软件工程师。大数据系统模块确定每个用户特征数据的内容信息,即大数据系统模块确定用户A的姓名为“小明”、年龄为“20”、照片为“用户头像”、家庭状况为“未婚”、收入为“工资10000”、工作为“软件工程师”。利用内容信息,大数据系统模块每个用户特征数据分配标签,即为“小明”分配姓名标签、为“20”分配年龄标签、为“用户头像”分配照片标签、为“未婚”分配家庭状况标签、为“工资10000”分配收入标签、为 “软件工程师”分配工作标签。将上述标签与用户A进行关联,形成用户A的用户画像,即用户A的用户画像包括姓名标签、年龄标签、照片标签、家庭状况标签、收入标签、工作标签。
更进一步地,用户线上虚拟数据还包括用户关联信息以及用户行为信息。
大数据系统模块从用户画像中获取属于用户社交标签的用户特征数据,并将属于用户社交标签的用户特征数据作为用户关联信息;从用户画像中获取属于用户行为标签的用户特征数据,并将属于用户行为标签的用户特征数据作为用户行为信息。
在一个例子中,用户A的用户画像中包括用户社交标签以及用户行为标签。用户社交标签用以表示用户A的社交关系,用户行为标签用以表示用户A的行为模式。如,用户A的用户社交标签包括用户A的通讯录、通讯时长、消费对象等内容;用户A的用户行为标签包括用户A在接收快递时,通过联系秘书前往领取快递等内容;用户A在使用大众点评应用时,通过支付宝付款等内容。大数据系统模块将用户A的通讯录、通讯时长、消费对象等内容作为用户关联信息;将用户A在接收快递时,通过联系秘书前往领取快递等内容作为用户行为信息,其中,与秘书的联系方式作为用户关联信息。
步骤806、大数据系统模块向用户智慧中心模块发送用户线上虚拟数据。
步骤807、用户智慧中心模块对用户线上虚拟数据进行存储处理。
以图9为例对智能助理客户端智能处理应用事件的过程进行说明,如图9所示,具体包括以下步骤:
步骤901、用户授权管理模块接收用户输入的应用处理授权指令。
具体地,当用户希望由终端代替自身处理一些事务(例如,接收快递)时,用户向用户授权管理模块输入应用处理授权指令,该应用处理授权指令包括终端中应用程序的标识(例如,微信的标识、短信的标识)。
用户授权管理模块接收应用处理授权指令。
在一个例子中,用户希望由终端代替自身处理的事务为接收快递,在本步骤中应用刚处理授权指令中包括的应用程序的标识为微信应用程序的标识以及短信息应用程序的标识。
步骤902、用户授权管理模块对数据收集与分析模块中的数据采集策略以及用户代理模块中的代理策略进行更新。
具体地,用户授权管理模块根据应用处理授权指令,对数据采集策略以及代理策略进行更新,以使得数据收集与分析模块根据用户的授权范围、要求对微信、短信息应用程序中的应用数据进行采集,用户代理模块根据用户的授权范围、要求与微信、短信息应用程序进行命令操作。
进一步地,用户授权管理模块在对数据采集策略以及代理策略进行更新时,还将应用处理授权指令分别发送至数据收集与分析模块以及用户代理模块。
步骤903、根据应用程序的标识,数据收集与分析模块接入应用程序,并从应用程序中,获取待处理的应用事件信息。
具体地,如前述例子,数据收集分析模块根据短信息应用程序的标识,接入短信息应用程序,从短信息应用程序中,获取接收快递事件的应用数据,如,快递物件、快递员姓名、电话、取货地点等等。
在获取应用数据后,数据收集分析模块生成应用事件信息,在应用事件信息中包括接收快递、快递物件、快递员姓名、电话、取货地点。
步骤904、数据收集分析模块向实时决策模块发送通知消息,该通知消息包括应用事件信息。
具体地,数据收集分析模块生成应用事件信息后,通过云侧接口模块向端侧接口模块发送通知消息,该通知消息包括应用事件信息。
端侧接口模块接收到通知消息后,向实时决策模块发送通知消息。
进一步地,该通知消息还包括终端的标识,该终端的标识用于实时决策模块根据终端的标识从用户智慧中心模块的数据库中获取与终端的标识匹配的用户线上虚拟数据。
步骤905、实时决策模块根据已存储的用户线上虚拟数据得到应用事件信息的事件执行信息。
具体地,实时决策模块接收到通知消息后,从通知消息中获取应用事件信息以及终端的标识。根据终端的标识,实时决策模块从用户智慧中心模块的数据库中获取与终端的标识匹配的用户线上虚拟数据。实时决策模块根据用户线上虚拟数据,得到与应用事件信息对应的事件执行信息。
如前述例子,应用事件信息具体包括:接收快递,快递物件、快递员姓名、电话、取货地点。实时决策模块先根据终端的标识,如终端A,从用户智慧中心的数据库中获取与终端A匹配的用户线上虚拟数据,如用户A线上虚拟数据。实时决策模块根据用户A线上虚拟数据确定用户A在接收快递时,通过微信联系秘书前往领取快递,也即是实时决策模块得到接收快递的事件执行信息为通过微信联系秘书前往领取快递。
步骤906、实时决策模块向用户代理模块发送反馈消息,该反馈消息包括事件执行信息。
具体地,实时决策模块通过端侧接口模块向云侧接口模块发送反馈消息。云侧接口模块接收到反馈消息后,向用户代理模块发送反馈消息。
步骤907、用户代理模块接入应用程序,并根据事件执行信息对应用事件进行对应执行。
具体地,如前述例子,用户代理模块根据微信应用程序的标识,接入微信应用程序。
用户代理模块从反馈消息中获取事件执行信息,即通过微信联系秘书前往领取快递。用户代理模块在微信应用程序中向秘书发送微信信息。
步骤908、用户代理模块显示执行结果。
具体地,用户代理模块对应用事件的执行结果进行显示,以提示用户对应用事件执行完毕。
上述实施例描述的内容均可实现智能处理应用事件的方法,相应地,本发明实施例还提供了一种智能处理应用事件的装置,用以实现前述实施例中提供的智能处理应用事件的方法。该装置应用于终端。如图10所示,所述装置包括:接收单元1010、第一获取单元1020、发送单元1030以及执行单元1040。
所述接收单元1010,用于接收用户输入的应用处理授权指令,所述应用处理授权指令包括所述终端中应用程序的标识;
第一获取单元1020,用于根据所述应用程序的标识,接入所述应用程序,并从所述应 用程序中,获取待处理的应用事件信息;
发送单元1030,用于向云服务器发送通知消息,所述通知消息包括所述应用事件信息;
所述接收单元1010还用于,接收所述云服务器发送的反馈消息,所述反馈消息包括所述云服务器根据用户线上虚拟数据得到的所述应用事件信息的事件执行信息;
执行单元1040,用于根据所述事件执行信息,对所述应用事件进行对应执行。
进一步地,所述接收单元1010还用于,接收所述用户输入的接入应用授权指令,所述接入应用授权指令包括所述应用程序的标识;
所述装置还包括:确定单元1050,用于当所述装置检测到所述应用程序已启动时,确定是否已被所述用户授权接入所述应用程序;
第二获取单元1060,用于如果所述装置确定已被所述用户授权接入所述应用程序,则根据所述应用程序的标识接入所述应用程序并获取所述应用程序中的用户原始数据;
统计单元1070,用于对所述用户原始数据进行统计处理,得到用户特征数据;
所述发送单元1030还用于,根据预设的发送规则,向所述云服务器发送所述用户特征数据,以使所述云服务器向大数据系统模块发送所述用户特征数据,所述大数据系统模块根据所述用户特征数据形成与所述用户匹配的用户线上虚拟数据。
进一步地,所述装置还包括:判断单元1080,用于判断所述应用程序是否已停止运行;
所述第二获取单元1060还用于,如果所述应用程序已停止运行,则停止获取所述应用程序中的用户原始数据。
进一步地,所述统计单元1070具体用于,确定所述用户原始数据的共同特征;
利用所述共同特征对所述用户原始数据进行统计处理,得到所述用户特征数据。
进一步地,所述装置还包括:显示单元1090,用于对所述应用事件的执行结果进行显示。
因此,通过应用本发明实施例提供的智能处理应用事件的装置,所述装置根据用户输入的应用处理授权指令,接入应用程序并从应用程序中,获取待处理的应用事件信息;所述装置向云服务器发送应用事件信息,所述装置根据云服务器反馈的事件执行信息对应用事件进行对应执行,并显示执行结果。本发明实施例提供的方案避免了现有技术中智能助理仅在用户发出需求指令后为其提供信息或服务,且由于无法与终端上的应用或功能进行交互,不能为用户提供最合适的服务的情况,实现了终端根据用户的授权,与终端上的应用或功能进行交互,替代用户智能处理应用事件,为用户提供合适的信息和服务,提高用户体验。
上述实施例描述的内容均可实现智能处理应用事件的方法,相应地,本发明实施例还提供了另一种智能处理应用事件的装置,用以实现前述实施例中提供的智能处理应用事件的方法。该装置应用于云服务器。如图11所示,所述装置包括:接收单元1110、获取单元1120以及发送单元1130。
所述接收单元1110,用于接收终端发送的通知消息,所述通知消息包括所述终端中应用程序待处理的应用事件信息;
获取单元1120,用于根据已存储的用户线上虚拟数据得到所述应用事件信息的事件执行信息;
发送单元1130,用于向所述终端发送反馈消息,所述反馈消息包括所述事件执行信息, 以使所述终端根据所述事件执行信息对所述应用事件进行对应执行。
进一步地,所述接收单元1110还用于,接收所述终端发送的用户特征数据;
所述发送单元1130还用于,向大数据系统模块发送所述用户特征数据;
所述接收单元1110还用于,接收所述大数据系统模块对所述用户特征数据进行挖掘处理后形成的与用户匹配的用户线上虚拟数据;
所述装置还包括:存储单元1140,用于对所述用户线上虚拟数据进行存储处理。
进一步地,所述接收单元1110接收的所述通知消息还包括所述终端的标识,
所述获取单元1120还用于,根据所述终端的标识,获取与所述终端的标识匹配的所述用户线上虚拟数据。
进一步地,所述存储单元1140存储的所述用户线上虚拟数据包括用户画像、用户关联信息以及用户行为信息;
所述获取单元1120具体用于,根据所述应用事件信息,从所述用户画像、用户关联信息以及用户行为信息中确定出与所述应用事件信息匹配的所述事件执行信息。
因此,通过应用本发明实施例提供的智能处理应用事件的装置,所述装置根据已存储的用户线上虚拟数据得到应用事件信息的事件执行信息,并向终端发送事件执行信息,以使终端根据事件执行信息对应用事件进行对应执行,并显示执行结果。本发明实施例提供的方案避免了现有技术中智能助理仅在用户发出需求指令后为其提供信息或服务,且由于无法与终端上的应用或功能进行交互,不能为用户提供最合适的服务的情况,实现了终端根据用户的授权,与终端上的应用或功能进行交互,替代用户智能处理应用事件,为用户提供合适的信息和服务,提高用户体验。
专业人员应该还可以进一步意识到,结合本文中所公开的实施例描述的各示例的单元及算法步骤,能够以电子硬件、计算机软件或者二者的结合来实现,为了清楚地说明硬件和软件的可互换性,在上述说明中已经按照功能一般性地描述了各示例的组成及步骤。这些功能究竟以硬件还是软件方式来执行,取决于技术方案的特定应用和设计约束条件。专业技术人员可以对每个特定的应用来使用不同方法来实现所描述的功能,但是这种实现不应认为超出本发明的范围。
结合本文中所公开的实施例描述的方法或算法的步骤可以用硬件、处理器执行的软件模块,或者二者的结合来实施。软件模块可以置于随机存储器(RAM)、内存、只读存储器(ROM)、电可编程ROM、电可擦除可编程ROM、寄存器、硬盘、可移动磁盘、CD-ROM、或技术领域内所公知的任意其它形式的存储介质中。
以上所述的具体实施方式,对本发明的目的、技术方案和有益效果进行了进一步详细说明,所应理解的是,以上所述仅为本发明的具体实施方式而已,并不用于限定本发明的保护范围,凡在本发明的精神和原则之内,所做的任何修改、等同替换、改进等,均应包含在本发明的保护范围之内。

Claims (29)

  1. 一种智能处理应用事件的方法,其特征在于,所述方法包括:
    接收用户输入的应用处理授权指令,所述应用处理授权指令包括终端中应用程序的标识;
    根据所述应用程序的标识,接入所述应用程序,并从所述应用程序中,获取待处理的应用事件信息;
    向云服务器发送通知消息,所述通知消息包括所述应用事件信息;
    接收所述云服务器发送的反馈消息,所述反馈消息包括所述云服务器根据用户线上虚拟数据得到的所述应用事件信息的事件执行信息;
    根据所述事件执行信息,对所述应用事件进行对应执行。
  2. 根据权利要求1所述的方法,其特征在于,所述接收用户输入的管理应用授权信息之前,所述方法还包括:
    接收所述用户输入的接入应用授权指令,所述接入应用授权指令包括所述应用程序的标识;
    当检测到所述应用程序已启动时,确定是否已被所述用户授权接入所述应用程序;
    如果确定已被所述用户授权接入所述应用程序,则根据所述应用程序的标识接入所述应用程序并获取所述应用程序中的用户原始数据;
    对所述用户原始数据进行统计处理,得到用户特征数据;
    根据预设的发送规则,向所述云服务器发送所述用户特征数据,以使所述云服务器向大数据系统模块发送所述用户特征数据,所述用户特征数据用于使所述大数据系统模块形成与所述用户匹配的用户线上虚拟数据。
  3. 根据权利要求2所述的方法,其特征在于,所述方法还包括:
    判断所述应用程序是否已停止运行;
    如果所述应用程序已停止运行,则停止获取所述应用程序中的用户原始数据。
  4. 根据权利要求2所述的方法,其特征在于,所述对所述用户原始数据进行统计处理,得到用户特征数据,具体包括:
    确定所述用户原始数据的共同特征;
    利用所述共同特征对所述用户原始数据进行统计处理,得到所述用户特征数据。
  5. 根据权利要求1所述的方法,其特征在于,所述方法还包括:对所述应用事件的执行结果进行显示。
  6. 一种智能处理应用事件的方法,其特征在于,所述方法包括:
    接收终端发送的通知消息,所述通知消息包括所述终端中应用程序待处理的应用事件信息;
    根据已存储的用户线上虚拟数据得到所述应用事件信息的事件执行信息;
    向所述终端发送反馈消息,所述反馈消息包括所述事件执行信息,所述事件执行信息用于使所述终端对所述应用事件进行对应执行。
  7. 根据权利要求6所述的方法,其特征在于,所述接收终端发送的通知消息之前,所述方法还包括:
    接收所述终端发送的用户特征数据;
    向大数据系统模块发送所述用户特征数据;
    接收所述大数据系统模块对所述用户特征数据进行统计归类处理后形成的与用户匹配的用户线上虚拟数据;
    所述云服务器对所述用户线上虚拟数据进行存储处理。
  8. 根据权利要求6所述的方法,其特征在于,所述通知消息还包括所述终端的标识;
    根据已存储的用户线上虚拟数据得到所述应用事件信息的事件执行信息之前,所述方法还包括:
    根据所述终端的标识,获取与所述终端的标识匹配的所述用户线上虚拟数据。
  9. 根据权利要求6所述的方法,其特征在于,所述用户线上虚拟数据包括用户画像、用户关联信息以及用户行为信息;
    所述根据所述用户线上虚拟数据得到所述应用事件信息的事件执行信息,具体包括:
    根据所述应用事件信息,从所述用户画像、用户关联信息以及用户行为信息中确定出与所述应用事件信息匹配的所述事件执行信息。
  10. 一种智能处理应用事件的装置,应用于终端,其特征在于,所述装置包括:
    接收单元,用于接收用户输入的应用处理授权指令,所述应用处理授权指令包括所述终端中应用程序的标识;
    第一获取单元,用于根据所述应用程序的标识,接入所述应用程序,并从所述应用程序中,获取待处理的应用事件信息;
    发送单元,用于向云服务器发送通知消息,所述通知消息包括所述应用事件信息;
    所述接收单元还用于,接收所述云服务器发送的反馈消息,所述反馈消息包括所述云服务器根据用户线上虚拟数据得到的所述应用事件信息的事件执行信息;
    执行单元,用于根据所述事件执行信息,对所述应用事件进行对应执行。
  11. 根据权利要求10所述的装置,其特征在于,所述接收单元还用于,接收所述用户输入的接入应用授权指令,所述接入应用授权指令包括所述应用程序的标识;
    所述装置还包括:确定单元,用于当所述装置检测到所述应用程序已启动时,确定是否已被所述用户授权接入所述应用程序;
    第二获取单元,用于如果所述装置确定已被所述用户授权接入所述应用程序,则根据所述应用程序的标识接入所述应用程序并获取所述应用程序中的用户原始数据;
    统计单元,用于对所述用户原始数据进行统计处理,得到用户特征数据;
    所述发送单元还用于,根据预设的发送规则,向所述云服务器发送所述用户特征数据,以使所述云服务器向大数据系统模块发送所述用户特征数据,所述用户特征数据用于使所述大数据系统模块形成与所述用户匹配的用户线上虚拟数据。
  12. 根据权利要求11所述的装置,其特征在于,所述装置还包括:
    判断单元,用于判断所述应用程序是否已停止运行;
    所述第二获取单元还用于,如果所述应用程序已停止运行,则停止获取所述应用程序中的用户原始数据。
  13. 根据权利要求11所述的装置,其特征在于,所述统计单元具体用于,确定所述用户原始数据的共同特征;
    利用所述共同特征对所述用户原始数据进行统计处理,得到所述用户特征数据。
  14. 根据权利要求10所述的装置,其特征在于,所述装置还包括:显示单元,用于对所述应用事件的执行结果进行显示。
  15. 一种智能处理应用事件的装置,应用于云服务器,其特征在于,所述装置包括:
    接收单元,用于接收终端发送的通知消息,所述通知消息包括所述终端中应用程序待处理的应用事件信息;
    获取单元,用于根据已存储的用户线上虚拟数据得到所述应用事件信息的事件执行信息;
    发送单元,用于向所述终端发送反馈消息,所述反馈消息包括所述事件执行信息,所述事件执行信息用于使所述终端对所述应用事件进行对应执行。
  16. 根据权利要求15所述的装置,其特征在于,所述接收单元还用于,接收所述终端发送的用户特征数据;
    所述发送单元还用于,向大数据系统模块发送所述用户特征数据;
    所述接收单元还用于,接收所述大数据系统模块对所述用户特征数据进行统计归类处理后形成的与用户匹配的用户线上虚拟数据;
    所述装置还包括:存储单元,用于对所述用户线上虚拟数据进行存储处理。
  17. 根据权利要求15所述的装置,其特征在于,所述接收单元接收的所述通知消息还包括所述终端的标识;
    所述获取单元还用于,根据所述终端的标识,获取与所述终端的标识匹配的所述用户线上虚拟数据。
  18. 根据权利要求16所述的装置,其特征在于,所述存储单元存储的所述用户线上虚拟数据包括用户画像、用户关联信息以及用户行为信息;
    所述获取单元具体用于,根据所述应用事件信息,从所述用户画像、用户关联信息以及用户行为信息中确定出与所述应用事件信息匹配的所述事件执行信息。
  19. 一种终端,其特征在于,所述终端包括:射频模块、处理器、触摸屏控制器以及触摸显示屏;
    所述触摸显示屏,用于接收用户输入的应用处理授权指令并将所述应用处理授权指令传输至所述触摸屏控制器,所述应用处理授权指令包括所述终端中应用程序的标识;
    所述触摸屏控制器,用于接收所述触摸显示屏传输的所述应用处理授权指令并向所述处理器传输所述应用处理授权指令;
    所述处理器,用于接收所述触摸屏控制器传输的所述应用处理授权指令,根据所述应用程序的标识,接入所述应用程序并从所述应用程序中,获取待处理的应用事件信息;
    所述处理器,还用于生成通知消息并将所述通知消息传输至所述射频模块,所述通知消息包括所述应用事件信息;
    所述射频模块,用于接收所述处理器传输的所述通知消息并向云服务器发送所述通知消息;接收所述云服务器发送的反馈消息并将所述反馈消息传输至所述处理器,所述反馈消息包括所述云服务器根据用户线上虚拟数据得到的应用事件信息的事件执行信息;
    所述处理器,还用于接收所述射频模块传输的所述反馈消息,根据所述事件执行信息,对应用事件进行对应执行。
  20. 根据权利要求19所述的终端,其特征在于,所述触摸显示屏,还用于接收所述用户输入的接入应用授权指令并将所述接入应用授权指令传输至所述触摸屏控制器,所述接入应用授权指令包括所述应用程序的标识;
    所述触摸屏控制器,还用于接收所述触摸显示屏传输的所述接入应用授权指令并向所述处理器传输所述接入应用授权指令;
    所述处理器,还用于接收所述触摸屏控制器传输的所述接入应用授权指令,检测所述应用程序是否已启动,当检测到所述应用程序已启动时,确定是否已被所述用户授权接入所述应用程序,如果确定已被所述用户授权接入所述应用程序,则根据所述应用程序的标识接入所述应用程序并获取所述应用程序中的用户原始数据,对所述用户原始数据进行统计处理,得到用户特征数据并将所述用户特征数据传输至所述射频模块;
    所述射频模块,还用于接收所述处理器传输的所述用户特征数据,并根据预设的发送规则向所述云服务器发送所述用户特征数据,以使所述云服务器向大数据系统模块发送所述用户特征数据,所述用户特征数据用于使所述大数据系统模块形成与所述用户匹配的所述用户线上虚拟数据。
  21. 根据权利要求20所述的终端,其特征在于,所述处理器,还用于判断所述应用程序是否已停止运行,如果所述应用程序已停止运行,则停止获取所述应用程序中的所述用户原始数据。
  22. 根据权利要求20所述的终端,其特征在于,所述处理器还具体用于,确定所述用户原始数据的共同特征,利用所述用户原始数据的共同特征对所述用户原始数据进行统计处理,得到所述用户特征数据。
  23. 根据权利要求19所述的终端,其特征在于,所述处理器还用于,将所述应用事件的执行结果传输至所述触摸屏控制器;
    所述触摸屏控制器,还用于接收所述处理器传输的所述执行结果并将所述执行结果传输至所述触摸显示屏;
    所述触摸显示屏,还用于接收所述触摸屏控制器传输的所述执行结果并对所述执行结果进行显示。
  24. 一种云服务器,其特征在于,所述云服务器包括:
    接收器,用于接收终端发送的通知消息,所述通知消息包括所述终端中应用程序待处理的应用事件信息;
    处理器,用于根据已存储的用户线上虚拟数据得到所述应用事件信息的事件执行信息;
    发送器,用于向所述终端发送反馈消息,所述反馈消息包括所述事件执行信息,所述事件执行信息用于使所述终端根据所述事件执行信息对所述应用事件进行对应执行。
  25. 根据权利要求24所述的云服务器,其特征在于,所述接收器还用于,接收所述终端发送的用户特征数据;
    所述发送器还用于,向大数据系统模块发送所述用户特征数据;
    所述接收器还用于,接收所述大数据系统模块对所述用户特征数据进行统计归类处理后形成的与用户匹配的用户线上虚拟数据;
    所述处理器还用于,对所述用户线上虚拟数据进行存储处理。
  26. 根据权利要求24所述的云服务器,其特征在于,所述接收器接收的所述通知消息还包括所述终端的标识;
    所述处理器还用于,根据所述终端的标识,获取与所述终端的标识匹配的所述用户线上虚拟数据。
  27. 根据权利要求24所述的云服务器,其特征在于,所述用户线上虚拟数据包括用户画像、用户关联信息以及用户行为信息;
    所述处理器还具体用于,根据所述应用事件信息,从所述用户画像、用户关联信息以及用户行为信息中确定出与所述应用事件信息匹配的所述事件执行信息。
  28. 一种计算机可读存储介质,其特征在于,所述计算机可读存储介质上储存有计算机程序,所述计算机程序被处理器执行如权利要求1-5任意一项所述的方法。
  29. 一种计算机可读存储介质,其特征在于,所述计算机可读存储介质上储存有计算机程序,所述计算机程序被处理器执行如权利要求6-9任意一项所述的方法。
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