WO2019024237A1 - 信息推荐方法、移动终端及计算机可读存储介质 - Google Patents

信息推荐方法、移动终端及计算机可读存储介质 Download PDF

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Publication number
WO2019024237A1
WO2019024237A1 PCT/CN2017/105030 CN2017105030W WO2019024237A1 WO 2019024237 A1 WO2019024237 A1 WO 2019024237A1 CN 2017105030 W CN2017105030 W CN 2017105030W WO 2019024237 A1 WO2019024237 A1 WO 2019024237A1
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WIPO (PCT)
Prior art keywords
user
current
content
information
interested
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PCT/CN2017/105030
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English (en)
French (fr)
Inventor
汪伟
王鸿滨
朱伟峰
王智
肖京
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平安科技（深圳）有限公司
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Publication of WO2019024237A1 publication Critical patent/WO2019024237A1/zh

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    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/90—Details of database functions independent of the retrieved data types
    • G06F16/95—Retrieval from the web
    • G06F16/953—Querying, e.g. by the use of web search engines
    • G06F16/9535—Search customisation based on user profiles and personalisation
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
    • G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
    • G06V40/16—Human faces, e.g. facial parts, sketches or expressions
    • G06V40/174—Facial expression recognition

Definitions

  • the present invention relates to the field of communications technologies, and in particular, to an information recommendation method, a mobile terminal, and a computer readable storage medium.
  • the client application "Today's Headline" will judge the user's content bias based on the user's multiple reading experiences. If you like to read military reports, more military reports will be recommended to users when recommending content to users.
  • the above recommended practice has the following disadvantages: For example, although the user has read a certain type of content multiple times, the user is not interested in this type of content, just because the content of this type is accidentally read. Therefore, judging the user's content bias based only on the number of readings is likely to cause misjudgment, and thus recommending content that the user is not interested in.
  • the present invention provides an information recommendation method, a mobile terminal, and a computer readable storage medium, which are capable of recognizing a user's emotions, and determining whether the user is interested in the browsed content according to the user's emotion, thereby being able to be based on the content of interest to the user. Recommend some new information.
  • the present invention provides a mobile terminal, which includes a memory, a processor, and an information recommendation program stored on the memory and operable on the processor, the information recommendation program
  • the following steps are implemented when executed by the processor:
  • the associated content is recommended to the user based on the keyword.
  • the current biometric information of the user is collected.
  • the biological representation information includes: one or more of a user's facial muscle changes, eyebrow relaxation conditions, mouth state changes, nose shape changes, eye movements, and limb movements, and the information recommendation program is processed as described The following steps are also implemented when the device is executed:
  • a mapping table between various biometric information and various user emotions is established in advance, and the user emotions include at least: happiness, anger, sadness, fear, happiness, and surprise.
  • the step of determining, according to the current biometric information, whether the user is interested in the current content specifically includes:
  • the step of recommending the associated content to the user according to the keyword includes:
  • the preset parameter includes one or more of a location, a font, a size, a color, a part of speech, and a frequency;
  • the associated content of the target segmentation is recommended to the user.
  • the present invention further provides an information recommendation method, which is applied to a mobile terminal, and the method includes:
  • the associated content is recommended to the user based on the keyword.
  • the method before the step of collecting the current biometric information when the user browses the current content, the method further includes:
  • the current biometric information of the user is collected.
  • the biological representation information includes: one or more of a user's facial muscle changes, eyebrow relaxation conditions, mouth state changes, nose shape changes, eye movements, and limb movements, wherein the method further includes :
  • the user situation At least, it includes: happiness, anger, sadness, fear, happiness, and surprise.
  • the step of determining, according to the current biometric information, whether the user is interested in the current content specifically includes:
  • the step of recommending the associated content to the user according to the keyword includes:
  • the preset parameter includes one or more of a location, a font, a size, a color, a part of speech, and a frequency;
  • the associated content of the target segmentation is recommended to the user.
  • the present invention also provides a computer readable storage medium storing an information recommendation program, the information recommendation program being executable by at least one processor to enable the At least one processor performs the steps of the information recommendation method as described above.
  • the mobile terminal, the information recommendation method, and the computer readable storage medium provided by the present invention first collect current biometric information when the user browses the current content; and then, according to the current biometric information, determine the Whether the user is interested in the current content; then, when the user is interested in the current content, extracting keywords of the current content; finally, recommending related content to the user according to the keyword.
  • the user's emotion can be identified, and whether the user is interested in the browsed content according to the user's emotion, so that some new information can be recommended according to the content that the user is interested in.
  • FIG. 1 is a schematic structural diagram of hardware of a mobile terminal embodying various embodiments of the present invention
  • FIG. 2 is a structural diagram of a communication network system according to an embodiment of the present invention.
  • FIG. 3 is a schematic diagram of functional modules of the first and second embodiments of the information recommendation procedure of the present invention.
  • FIG. 4 is a schematic diagram of functional modules of a third embodiment of the information recommendation procedure of the present invention.
  • FIG. 5 is a schematic flowchart of implementation of a fourth embodiment of an information recommendation procedure according to the present invention.
  • FIG. 6 is a schematic flowchart of an implementation process of a first embodiment of an information recommendation method according to the present invention.
  • FIG. 7 is a schematic flowchart of implementation of a second embodiment of an information recommendation method according to the present invention.
  • FIG. 8 is a schematic flowchart of implementation of a third embodiment of an information recommendation method according to the present invention.
  • FIG. 9 is a schematic flowchart of implementation of a fourth embodiment of an information recommendation method according to the present invention.
  • the terminal can be implemented in various forms.
  • the terminal described in the present invention may include, for example, a mobile phone, a tablet computer, a notebook computer, a palmtop computer, a personal digital assistant (PDA), a portable media player (PMP), a navigation device, and the like.
  • Mobile terminals such as wearable devices, smart bracelets, pedometers, and fixed terminals such as digital TVs and desktop computers.
  • FIG. 1 is a schematic diagram of a hardware structure of a mobile terminal that implements various embodiments of the present invention.
  • the mobile terminal 100 may include an RF (Radio Frequency) unit 101, a WiFi module 102, and an audio output unit 103, A. /V (audio/video) input unit 104, sensor 105, display unit 106, user input unit 107, interface unit 108, memory 109, processor 110, and power supply 111 and the like.
  • RF Radio Frequency
  • WiFi module 102 Wireless Fidelity
  • A. /V (audio/video) input unit 104 sensor 105
  • display unit 106 user input unit 107
  • interface unit 108 user input unit
  • memory 109 memory 109
  • processor 110 and power supply 111 and the like.
  • the radio frequency unit 101 can be used for receiving and transmitting signals during the transmission and reception of information or during a call. Specifically, after receiving the downlink information of the base station, the radio frequency unit 101 processes the data to the processor 110. In addition, the uplink data is sent to the base station.
  • radio frequency unit 101 includes, but is not limited to, an antenna, at least one amplifier, a transceiver, a coupler, a low noise amplifier, a duplexer, and the like. In addition, the radio unit 101 can also communicate with the network and other devices through wireless communication.
  • the above wireless communication may use any communication standard or protocol, including but not limited to GSM (Global System of Mobile communication), GPRS (General Packet Radio Service), CDMA2000 (Code Division Multiple Access 2000), WCDMA (Wideband Code Division Multiple Access), TD-SCDMA (Time Division-Synchronous Code Division Multiple Access) , FDD-LTE (Frequency Division Duplexing-Long Term Evolution) and TDD-LTE (Time Division Duplexing-Long Term Evolution).
  • GSM Global System of Mobile communication
  • GPRS General Packet Radio Service
  • CDMA2000 Code Division Multiple Access 2000
  • WCDMA Wideband Code Division Multiple Access
  • TD-SCDMA Time Division-Synchronous Code Division Multiple Access
  • FDD-LTE Frequency Division Duplexing-Long Term Evolution
  • TDD-LTE Time Division Duplexing-Long Term Evolution
  • WiFi is a short-range wireless transmission technology
  • the mobile terminal 100 can help users to send and receive emails, browse web pages, and access streaming media through the WiFi module 102, which provides wireless broadband Internet access for users.
  • FIG. 1 shows the WiFi module 102, it can be understood that it does not belong to the essential configuration of the mobile terminal, and may be omitted as needed within the scope of not changing the essence of the invention.
  • the audio output unit 103 may receive the radio frequency unit 101 or the WiFi module 102 or store it in the memory 109 when the mobile terminal 100 is in a call signal receiving mode, a call mode, a recording mode, a voice recognition mode, a broadcast receiving mode, and the like.
  • the audio data is converted into an audio signal and output as sound.
  • the audio output unit 103 can also provide audio output (eg, call signal reception sound, message reception sound, etc.) related to a specific function performed by the mobile terminal 100.
  • the audio output unit 103 may include a speaker, a buzzer, and the like.
  • the A/V input unit 104 is for receiving an audio or video signal.
  • the A/V input unit 104 may include a graphics processing unit (GPU) 1041 and a microphone 1042.
  • the graphics processor 1041 may acquire a still picture obtained by an image capturing device (such as a camera) in a video capturing mode or an image capturing mode or The image data of the video is processed.
  • the processed image frame can be displayed on the display unit 106.
  • the image frames processed by the graphics processor 1041 may be stored in the memory 109 (or other storage medium) or transmitted via the radio unit 101 or the WiFi module 102.
  • the microphone 1042 can receive sound (audio data) via the microphone 1042 in an operation mode of a telephone call mode, a recording mode, a voice recognition mode, and the like, and can process such sound as audio data.
  • the processed audio (voice) data can be converted to a format output that can be transmitted to the mobile communication base station via the radio unit 101 in the case of a telephone call mode.
  • Microphone 1042 can implement various types of noise cancellation (or suppression) algorithms to cancel (or suppress) noise or interference generated during the process of receiving and transmitting audio signals.
  • the mobile terminal 100 also includes at least one type of sensor 105, such as a light sensor, motion sensor, and other sensors.
  • the light sensor includes an ambient light sensor and a proximity sensor, wherein the ambient light sensor can adjust the brightness of the display panel 1061 according to the brightness of the ambient light, and the proximity sensor can close the display panel 1061 when the mobile terminal 100 moves to the ear. / or backlight.
  • the accelerometer sensor can detect the magnitude of acceleration in all directions (usually three axes). When it is stationary, it can detect the magnitude and direction of gravity.
  • gestures of the mobile phone such as horizontal and vertical screen switching, related Game, magnetometer attitude calibration), vibration recognition related functions (such as pedometer, tapping), etc.; as well as fingerprint sensors, pressure sensors, iris sensors, molecular sensors, gyroscopes, barometers, hygrometers, Thermometer, image sensor, infrared sensor, etc. Other sensors are not described here.
  • the display unit 106 is for displaying information input by the user or information provided to the user.
  • the display unit 106 can include a display panel 1061.
  • the display panel 1061 can be configured in the form of a liquid crystal display (LCD), an organic light-emitting diode (OLED), or the like.
  • the user input unit 107 can be configured to receive input numeric or character information and to generate key signal inputs related to user settings and function control of the mobile terminal.
  • the user input unit 107 may include a touch panel 1071 and other input devices 1072.
  • the touch panel 1071 also referred to as a touch screen, can collect touch operations on or near the user (such as the user using a finger, a stylus, or the like on the touch panel 1071 or near the touch panel 1071. Operation), and drive the corresponding connecting device according to a preset program.
  • the touch panel 1071 may include two parts of a touch detection device and a touch controller.
  • the touch detection device detects the touch orientation of the user, and detects a signal brought by the touch operation, and transmits the signal to the touch controller; the touch controller receives the touch information from the touch detection device, converts the touch information into contact coordinates, and sends the touch information.
  • the processor 110 is provided and can receive commands from the processor 110 and execute them.
  • the touch panel 1071 can be implemented in various types such as resistive, capacitive, infrared, and surface acoustic waves.
  • the user input unit 107 may also include other input devices 1072.
  • the other input device 1072 may include, but is not limited to, one or more of a physical keyboard, a function key (such as a volume control button, a switch button, and the like), a trackball, a mouse, a joystick, and the like. .
  • a function key such as a volume control button, a switch button, and the like
  • a trackball such as a mouse, a joystick, and the like.
  • the touch panel 1071 can cover the display panel 1061. After the touch panel 1071 detects a touch operation thereon or nearby, the touch panel 1071 transmits to the processor 110 to determine the type of the touch event, and then the processor 110 according to the touch event. The type provides a corresponding visual output on display panel 1061.
  • the touch panel 1071 and the display panel 1061 are two independent components to implement the input and output functions of the mobile terminal, in some embodiments, the touch panel 1071 and the display panel 1061 may be integrated. The input and output functions of the mobile terminal are implemented, and are not limited herein.
  • the interface unit 108 serves as an interface through which at least one external device can connect with the mobile terminal 100.
  • the external device may include a wired or wireless headset port, an external power (or battery charger) port, a wired or wireless data port, a memory card port, a port for connecting a device having an identification module, and an audio input/output. (I/O) port, video I/O port, headphone port, and more.
  • the interface unit 108 can be configured to receive input from an external device (eg, data information, power, etc.) and transmit the received input to one or more components within the mobile terminal 100 or can be used at the mobile terminal 100 and externally Data is transferred between devices.
  • an external device eg, data information, power, etc.
  • Memory 109 can be used to store software programs as well as various data.
  • the memory 109 may mainly include a storage program area and a storage data area, wherein the storage program area may store an operating system, an application required for at least one function (such as a sound playing function, an image playing function, etc.), and the like; the storage data area may be stored according to Data created by the use of the mobile phone (such as audio data, phone book, etc.).
  • Memory 109 may include high speed random access memory, and may also include non-volatile memory, such as at least one magnetic disk storage device, flash memory device, or other volatile solid state storage device.
  • the processor 110 is a control center of the mobile terminal that connects various portions of the entire mobile terminal using various interfaces and lines, by running or executing software programs and/or modules stored in the memory 109, and recalling data stored in the memory 109.
  • the mobile terminal performs various functions and processing data to perform overall monitoring on the mobile terminal.
  • the processor 110 may include one or more processing units; preferably, the processor 110 may integrate an application processor and a modem processor, wherein the application processor mainly processes an operating system, a user interface, an application, etc., and performs modulation and demodulation.
  • the processor primarily handles wireless communications. It can be understood that the above modem processor may not be integrated into the processor 110.
  • the mobile terminal 100 may further include a power source 111 (such as a battery) for supplying power to various components.
  • a power source 111 such as a battery
  • the power source 111 may be logically connected to the processor 110 through a power management system to manage charging, discharging, and power management through the power management system. And other functions.
  • the mobile terminal 100 may further include a Bluetooth module and the like, and details are not described herein again.
  • FIG. 2 is a structural diagram of a communication network system according to an embodiment of the present invention.
  • the communication network system is an LTE system of a universal mobile communication technology, and the LTE system includes a UE (User Equipment, user equipment) that is sequentially connected in communication. 201, an E-UTRAN (Evolved UMTS Terrestrial Radio Access Network) 202, an EPC (Evolved Packet Core) 203, and an operator's IP service 204.
  • UE User Equipment, user equipment
  • EPC Evolved Packet Core
  • the UE 201 may be the foregoing terminal 100, and details are not described herein again.
  • the E-UTRAN 202 includes an eNodeB 2021 and other eNodeBs 2022 and the like.
  • the eNodeB 2021 can be connected to other eNodeBs 2022 through a backhaul (for example, an X2 interface), and the eNodeB 2021 is connected to the EPC 203, and the eNodeB 2021 can provide access of the UE 201 to the EPC 203.
  • a backhaul for example, an X2 interface
  • the EPC 203 may include an MME (Mobility Management Entity) 2031, an HSS (Home Subscriber Server) 2032, another MME 2033, an SGW (Serving Gate Way) 2034, and a PGW (PDN Gate Way). Network gateway) 2035 and PCRF (Policy and Charging Rules Function) 2036, and the like.
  • the MME 2031 is a control node that processes signaling between the UE 201 and the EPC 203, and provides bearer and connection management.
  • the HSS 2032 is used to provide registers to manage functions such as home location registers (not shown) and to store user-specific information about service characteristics, data rates, and the like.
  • All user data can be sent through SGW2034, PGW2035 can provide IP address allocation and other functions of UE 201, and PCRF2036 is a policy and charging control policy decision point for service data flow and IP bearer resources, which is a policy and charging execution function. Units (not shown) select and provide available policy and charging control decisions.
  • the IP service 204 can include the Internet, an intranet, and an IMS (IP Multimedia Subsystem, IP Multimedia Subsystem) or other IP services.
  • IMS IP Multimedia Subsystem, IP Multimedia Subsystem
  • LTE Long Term Evolution
  • CDMA2000 Code Division Multiple Access 2000
  • WCDMA Wideband Code Division Multiple Access 2000
  • TD-SCDMA Time Division Multiple Access 2000
  • Network system etc., is not limited here.
  • the present invention proposes an information recommendation program 300.
  • the information recommendation program 300 may be divided into one or more modules, and the one or more modules are stored in the memory 109 of the mobile terminal 100 and are processed by one or more processors. (The processor 110 in this embodiment) is executed to complete the present invention.
  • the information recommendation program 300 can be divided into an acquisition module 301, a determination module 302, an information recommendation module 303, a setup query module 304, a weight assignment module 305, and a calculation processing module 306.
  • the functional module referred to in the present invention refers to a series of computer program instruction segments capable of performing a specific function, and is more suitable than the program to describe the execution process of the information recommendation program 300 in the mobile terminal 100.
  • the functions of the respective function modules 301-306 will be described in detail below.
  • the collecting module 301 is configured to collect current biometric information when the user browses the current content.
  • the collecting module 301 collects current biometric information when the user browses the current content through the sensor 105.
  • the biometric information may include the following elements: user facial muscle changes, eyebrow relaxation, mouth state changes, nose shape changes, eye movements, and limb movements.
  • the determining module 302 is configured to determine, according to the current biometric information, whether the user is interested in the current content. The step of determining whether the user is interested in the current content based on current biometric information will be described in detail below.
  • the information recommendation module 303 extracts keywords of the current content and recommends related content to the user according to the keywords.
  • the information recommendation program 300 proposed by the present invention firstly collects the current biometric information when the user browses the current content, and secondly, determines the user according to the current biometric information. Whether the current content is of interest, and then, when the user is interested in the current content, extracting a keyword of the current content; and finally recommending related content to the user according to the keyword.
  • the user's emotion is recognized by the mobile terminal 100, and whether the user is interested in the browsed content according to the user's emotion, so that some new information can be recommended according to the content that the user is interested in.
  • the collection module 301 is further configured to:
  • the time when the user browses the current content is recorded, and when the time when the user browses the current content exceeds a preset time, the current biometric information of the user is collected.
  • the preset time is set by the user according to actual needs.
  • the acquisition module 301 starts collecting the current biometric information of the user. Conversely, when the user browses "military content" for only 1 minute (no more than 3 minutes of the preset time), the collection module 301 ignores the browsing action of the user and does not collect the biometric information of the user.
  • the information recommendation program 300 proposed by the present invention records the time when the user browses the current content, and collects the user when the time when the user browses the current content exceeds a preset time.
  • the current biometric information can avoid collecting biometric information when too many users browse content that is not of interest, leading to misjudgment and increasing the load of the mobile terminal 100.
  • the information recommendation program 300 further includes a query module 304, wherein:
  • the establishment query module 304 is configured to pre-establish a mapping table between various bio-characterization information and various user emotions, and the user emotion includes at least one of happiness, anger, sadness, fear, happiness, and surprise.
  • the user emotion includes at least one of happiness, anger, sadness, fear, happiness, and surprise.
  • the determining module 302 is further configured to: query, according to the current bio-characterization information, the current mood of the user from the mapping table; and query from the mapping table according to the current bio-characterization information.
  • the current mood of the user is successful, determining that the user is interested in the current content; and determining that the user fails when the current mood of the user fails to be queried from the mapping table according to the current bio-characterization information. Not interested in the current content.
  • the information recommendation program 300 proposed by the present invention can quickly determine whether the user is interested in the current content according to a mapping table between various bio-characterization information and various user emotions established in advance.
  • the information recommendation program 300 further includes a weight assignment module 305 and a calculation processing module 306, where:
  • the information recommendation module 303 is further configured to: analyze the current content, and extract a plurality of word segments from the current content.
  • the weight assignment module 305 is configured to allocate a corresponding weight value W i to the plurality of word segments according to a preset parameter, after the information recommendation module 303 extracts a plurality of word segments , where the preset parameter includes a location and a font. One or more of size, color, part of speech, and frequency.
  • the determining module 302 is further configured to: determine a webpage category to which the current content belongs.
  • the webpage category includes a plurality of subject categories such as "music", “news”, “sports”, “military”, “entertainment”, “finance”, “advertising”, or other webpage categories.
  • the web page category can be based on a statistical algorithm obtain.
  • the calculation processing module 306 is configured to first perform an associative search on each of the plurality of word segments with the webpage category to obtain a correlation coefficient r i of the each segmentation word under the webpage category, and then calculate a processing module. 306 calculating, according to the weight value W i and the correlation coefficient r i , the correlation degree R i of the respective word segments; the final calculation processing module 306 compares the correlation degree R i values of the respective word segments, and defines the maximum R i value.
  • the target participle is a keyword. After the calculation processing module 106 obtains the keyword, the calculation processing module 306 also recommends the associated content of the target word segment to the user.
  • the information recommendation program 300 proposed by the present invention can recognize the emotion of the user, and judge whether the user is interested in the browsed content according to the emotion of the user, so that some new ones can be recommended according to the content that the user is interested in. information.
  • the present invention also proposes an information recommendation method.
  • FIG. 6 it is a schematic flowchart of the implementation of the first embodiment of the information recommendation method of the present invention.
  • the order of execution of the steps in the flowchart shown in FIG. 6 may be changed according to different requirements, and some steps may be omitted.
  • Step S601 Collect current bio-characterization information when the user browses the current content.
  • the mobile terminal 100 collects current biometric information when the user browses the current content through the sensor 105.
  • the biometric information may include the following elements: user facial muscle changes, eyebrow relaxation, mouth state changes, nose shape changes, eye movements, and limb movements.
  • Step S602 determining, according to the current biometric information, whether the user is interested in the current content.
  • step S603 and step S604 are performed. Otherwise, when the user is not interested in the current content, step S601 is performed.
  • the step of determining whether the user is interested in the current content based on current biometric information will be described in detail below.
  • Step S603 extracting keywords of the current content.
  • Step S604 recommending related content to the user according to the keyword.
  • the mobile terminal 100 collects current biometric information when the user browses the current content, and determines, according to the current biometric information, whether the user is interested in the current content, and when the user is interested in the current content. Extracting keywords of the current content; and recommending related content to the user according to the keywords. On the contrary, when the user is interested in the current content, the mobile terminal 100 continues to collect current biometric information when the user browses the current content.
  • the information recommendation method of the present invention firstly, the mobile terminal 100 collects current biometric information when the user browses the current content, and secondly, determines whether the user is correct according to the current biometric information.
  • the current content is of interest, and then, when the user is interested in the current content, the keyword of the current content is extracted; finally, the related content is recommended to the user according to the keyword.
  • the user's emotion is recognized by the mobile terminal 100, and whether the user is interested in the browsed content according to the user's emotion, so that some new information can be recommended according to the content that the user is interested in.
  • FIG. 7 is a schematic flowchart showing the implementation of the second embodiment of the information recommendation method of the present invention.
  • the step of collecting the current biometric information when the user browses the current content includes:
  • Step S701 recording the time when the user browses the current content.
  • Step S702 determining whether the time when the user browses the current content exceeds a preset time. When the time when the user browses the current content exceeds the preset time, step S703 is performed. Otherwise, when the time when the user browses the current content does not exceed the preset time, step S701 is performed.
  • Step S703 collecting current biometric information of the user.
  • the preset time is set by the user according to actual needs. For example, when the preset time is 3 minutes, if the user browses "military content" for more than 3 minutes, the acquisition module 301 starts collecting the current biometric information of the user. Conversely, when the user browses "military content" for only 1 minute (no more than 3 minutes of the preset time), the collection module 301 ignores the browsing action of the user and does not collect the biometric information of the user.
  • the information recommendation method proposed by the present invention records the time when the user browses the current content, and collects the user when the time when the user browses the current content exceeds a preset time.
  • the current biometric information can avoid collecting biometric information when too many users browse content that is not of interest, leading to misjudgment and increasing the load of the mobile terminal 100.
  • FIG. 8 is a schematic flowchart showing the implementation of the third embodiment of the information recommendation method of the present invention.
  • the step of determining, according to the current biometric information, whether the user is interested in the current content specifically includes:
  • Step S801 pre-establishing a mapping table between various bio-characterization information and various user emotions, the user emotions including at least one or more of happiness, anger, sadness, fear, happiness, and surprise.
  • Step S802 querying, according to the current bio-characterization information, the current mood of the user from the mapping table.
  • Step S803 determining whether the current mood of the user can be successfully queried from the mapping table according to the current bio-characterization information.
  • step S804 is performed; otherwise, when the current mood of the user is queried from the mapping table according to the current biometric information
  • step S805 is performed.
  • Step S804 determining that the user is interested in the current content.
  • Step S805 determining that the user is not interested in the current content.
  • the information recommendation method proposed by the present invention can quickly determine whether the user is interested in the current content according to a mapping table between various bio-characterization information and various user emotions established in advance.
  • FIG. 9 is a schematic flowchart showing the implementation of the fourth embodiment of the information recommendation method of the present invention.
  • the step of recommending the related content to the user according to the keyword includes:
  • Step S901 analyzing the current content, and extracting a plurality of word segments from the current content.
  • Step S902 respectively assigning corresponding weight values W i to the plurality of word segments according to preset parameters.
  • the preset parameter includes one or more of a location, a font, a size, a color, a part of speech, and a frequency.
  • Step S903 determining a webpage category to which the current content belongs.
  • the webpage category includes a plurality of subject categories such as "music", “news”, “sports”, “military”, “entertainment”, “finance”, “advertising”, or other webpage categories.
  • the web page category can be obtained according to a statistical algorithm.
  • Step S904 performing a correlation search on each of the plurality of word segments with the webpage category to obtain a correlation coefficient r i of the respective segmentation words under the webpage category.
  • Step S905 the value according to the weight W i and the correlation coefficients r i, R i calculates the correlation of each word.
  • Step S906 comparing the correlation R i values of the respective word segments, and defining a target word segment with the largest R i value as a keyword.
  • Step S907 recommending the related content of the target word segment to the user.
  • the information recommendation method proposed by the present invention can also identify the emotion of the user, and judge whether the user is interested in the browsed content according to the emotion of the user, so that some new information can be recommended according to the content that the user is interested in. .
  • the foregoing embodiment method can be implemented by means of software plus a necessary general hardware platform, and of course, can also be through hardware, but in many cases, the former is better.
  • Implementation Based on such understanding, the technical solution of the present invention, which is essential or contributes to the prior art, may be embodied in the form of a software product stored in a storage medium (such as ROM/RAM, disk,
  • the optical disc includes a number of instructions for causing a terminal device (which may be a cell phone, a computer, a server, an air conditioner, or a network device, etc.) to perform the methods described in various embodiments of the present invention.

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Abstract

本发明公开了一种移动终端，包括存储器、处理器及存储在所述存储器上并可在所述处理器上运行的信息推荐程序，所述信息推荐程序被所述处理器执行时实现如下步骤：采集所述用户浏览当前内容时的当前生物表征信息；根据所述当前生物表征信息判断所述用户是否对所述当前内容感兴趣；当所述用户对所述当前内容感兴趣时，提取所述当前内容的关键字；及根据所述关键字推荐关联内容给所述用户。本发明还提供一种信息推荐方法及计算机可读存储介质。本发明提供的信息推荐方法、移动终端及计算机可读存储介质能够识别用户的情绪，根据用户的情绪判断用户是否对浏览的内容感兴趣，从而可以根据用户感兴趣的内容推荐一些新的信息。

Description

信息推荐方法、移动终端及计算机可读存储介质
本申请申明享有2017年8月4日递交的申请号为201710658114.9、名称为“信息推荐方法及移动终端”的中国专利申请的优先权，该中国专利申请的整体内容以参考的方式结合在本申请中。
技术领域
本发明涉及通信技术领域，尤其涉及一种信息推荐方法、移动终端及计算机可读存储介质。
背景技术
随着社会的发展和技术的进步，各种移动终端(例如手机、平板电脑、笔记本电脑、相机、电子相框等)成为人们生活中重要的一部分，人们会利用终端进行看文章、玩游戏、看影片、欣赏图片、信息交流、了解商业信息等操作，包括观察股市、管理个人财产等。
为满足用户对内容的需求，当前的一些前端设备或后端设备会有内容推荐功能。例如，客户端应用"今日头条"会根据用户的多次阅读经历来判断用户的内容偏向，如喜欢阅读军事报告，从而在向用户推荐内容时，会将更多的军事报告推荐给用户。
然，上述推荐做法有以下缺点：例如，用户虽然对某一类型的内容阅读了多次，但是该用户对这个类型的内容并不感兴趣，只是因为偶然阅读了此类型的内容。因此，仅仅根据阅读次数来判断用户的内容偏向，容易造成误判，进而向用户推荐了用户并不感兴趣的内容。
发明内容
有鉴于此，本发明提出一种信息推荐方法、移动终端及计算机可读存储介质，能够识别用户的情绪，根据用户的情绪判断用户是否对浏览的内容感兴趣，从而可以根据用户感兴趣的内容推荐一些新的信息。
首先，为实现上述目的，本发明提出一种移动终端，所述移动终端包括存储器、处理器及存储在所述存储器上并可在所述处理器上运行的信息推荐程序，所述信息推荐程序被所述处理器执行时实现如下步骤：
采集所述用户浏览当前内容时的当前生物表征信息；
根据所述当前生物表征信息判断所述用户是否对所述当前内容感兴趣；
当所述用户对所述当前内容感兴趣时，提取所述当前内容的关键字；及
根据所述关键字推荐关联内容给所述用户。
可选地，所述信息推荐程序被所述处理器执行时还实现如下步骤：
记录所述用户浏览当前内容的时间；及
当所述用户浏览所述当前内容的时间超过预设时间时，采集所述用户的当前生物表征信息。
可选地，生物表征信息包括：用户脸部肌肉变化、眉宇舒张情况、嘴巴状态变化、鼻子形态变化、眼球变动及肢体动作的其中一种或任意多种，所述信息推荐程序被所述处理器执行时还实现如下步骤：
预先建立各种生物表征信息与各种用户情绪之间的映射表，所述用户情绪至少包括：愉快、愤怒、悲伤、恐惧、快乐及惊讶。
可选地，所述根据所述当前生物表征信息判断所述用户是否对所述当前内容感兴趣的步骤，具体包括：
根据所述当前生物表征信息从所述映射表中查询所述用户的当前情绪；及
当根据所述当前生物表征信息从所述映射表中查询所述用户的当前情绪成功时，判断所述用户对所述当前内容感兴趣；及
当根据所述当前生物表征信息从所述映射表中查询所述用户的当前情绪失败时，判断所述用户对所述当前内容不感兴趣。
可选地，所述根据所述关键字推荐关联内容给所述用户的步骤包括：
分析所述当前内容，并从所述当前内容中提取多个分词；
根据预设参数为所述多个分词分别分配相应的权重值Wi，其中，所述预设参数包括位置、字体、大小、颜色、词性及频率中的一种或者多种；
判断所述当前内容所属的网页类别；
将所述多个分词中的各个分词与所述网页类别进行关联搜索以得到所述各个分词在所述网页类别下的相关系数ri；
根据所述权重值Wi和所述相关系数ri，计算所述各个分词的相关度Ri；
比较所述各个分词的相关度Ri值，定义Ri值最大的目标分词为关键字；及
推荐所述目标分词的关联内容给所述用户。
此外，为实现上述目的，本发明还提供一种信息推荐方法，该方法应用于移动终端，所述方法包括：
采集用户浏览当前内容时的当前生物表征信息；
根据所述当前生物表征信息判断所述用户是否对所述当前内容感兴趣；
当所述用户对所述当前内容感兴趣时，提取所述当前内容的关键字；及
根据所述关键字推荐关联内容给所述用户。
可选地，在所述采集用户浏览当前内容时的当前生物表征信息的步骤之前，所述方法还包括：
记录所述用户浏览当前内容的时间；及
当所述用户浏览所述当前内容的时间超过预设时间时，采集所述用户的当前生物表征信息。
可选地，生物表征信息包括：用户脸部肌肉变化、眉宇舒张情况、嘴巴状态变化、鼻子形态变化、眼球变动及肢体动作的其中一种或任意多种，其特征在于，所述方法还包括：
预先建立各种生物表征信息与各种用户情绪之间的映射表，所述用户情 绪至少包括：愉快、愤怒、悲伤、恐惧、快乐及惊讶。
可选地，所述根据所述当前生物表征信息判断所述用户是否对所述当前内容感兴趣的步骤，具体包括：
根据所述当前生物表征信息从所述映射表中查询所述用户的当前情绪；及
当根据所述当前生物表征信息从所述映射表中查询所述用户的当前情绪成功时，判断所述用户对所述当前内容感兴趣；及
当根据所述当前生物表征信息从所述映射表中查询所述用户的当前情绪失败时，判断所述用户对所述当前内容不感兴趣。
可选地，所述根据所述关键字推荐关联内容给所述用户的步骤包括：
分析所述当前内容，并从所述当前内容中提取多个分词；
根据预设参数为所述多个分词分别分配相应的权重值Wi，其中，所述预设参数包括位置、字体、大小、颜色、词性及频率中的一种或者多种；
判断所述当前内容所属的网页类别；
将所述多个分词中的各个分词与所述网页类别进行关联搜索以得到所述各个分词在所述网页类别下的相关系数ri；
根据所述权重值Wi和所述相关系数ri，计算所述各个分词的相关度Ri；
比较所述各个分词的相关度Ri值，定义Ri值最大的目标分词为关键字；及
推荐所述目标分词的关联内容给所述用户。
进一步地，为实现上述目的，本发明还提供一种计算机可读存储介质，所述计算机可读存储介质存储有信息推荐程序，所述信息推荐程序可被至少一个处理器执行，以使所述至少一个处理器执行如上述的信息推荐方法的步骤。
相较于现有技术，本发明所提出的移动终端、信息推荐方法及计算机可读存储介质，首先采集用户浏览当前内容时的当前生物表征信息；然后，根据所述当前生物表征信息判断所述用户是否对所述当前内容感兴趣；接着，当所述用户对所述当前内容感兴趣时，提取所述当前内容的关键字；最后，根据所述关键字推荐关联内容给所述用户。这样，能够识别用户的情绪，根据用户的情绪判断用户是否对浏览的内容感兴趣，从而可以根据用户感兴趣的内容推荐一些新的信息。
附图说明
图1是实现本发明各个实施例的一种移动终端的硬件结构示意图；
图2是本发明实施例提供的一种通信网络系统架构图；
图3是本发明信息推荐程序第一及第二实施例的功能模块示意图；
图4是本发明信息推荐程序第三实施例的功能模块示意图；
图5为本发明信息推荐程序第四实施例的实施流程示意图；
图6为本发明信息推荐方法第一实施例的实施流程示意图；
图7为本发明信息推荐方法第二实施例的实施流程示意图；
图8为本发明信息推荐方法第三实施例的实施流程示意图；
图9为本发明信息推荐方法第四实施例的实施流程示意图；
本发明目的的实现、功能特点及优点将结合实施例，参照附图做进一步说明。
具体实施方式
应当理解，此处所描述的具体实施例仅用以解释本发明，并不用于限定本发明。
在后续的描述中，使用用于表示元件的诸如“模块”、“部件”或“单元”的后缀仅为了有利于本发明的说明，其本身没有特定的意义。因此，“模块”、“部件”或“单元”可以混合地使用。
终端可以以各种形式来实施。例如，本发明中描述的终端可以包括诸如手机、平板电脑、笔记本电脑、掌上电脑、个人数字助理(Personal Digital Assistant，PDA)、便捷式媒体播放器(Portable Media Player，PMP)、导航装置、可穿戴设备、智能手环、计步器等移动终端，以及诸如数字TV、台式计算机等固定终端。
后续描述中将以移动终端为例进行说明，本领域技术人员将理解的是，除了特别用于移动目的的元件之外，根据本发明的实施方式的构造也能够应用于固定类型的终端。
请参阅图1，其为实现本发明各个实施例的一种移动终端的硬件结构示意图，该移动终端100可以包括：RF(Radio Frequency，射频)单元101、WiFi模块102、音频输出单元103、A/V(音频/视频)输入单元104、传感器105、显示单元106、用户输入单元107、接口单元108、存储器109、处理器110、以及电源111等部件。本领域技术人员可以理解，图1中示出的移动终端结构并不构成对移动终端的限定，移动终端可以包括比图示更多或更少的部件，或者组合某些部件，或者不同的部件布置。
下面结合图1对移动终端的各个部件进行具体的介绍：
射频单元101可用于收发信息或通话过程中，信号的接收和发送，具体的，将基站的下行信息接收后，给处理器110处理；另外，将上行的数据发送给基站。通常，射频单元101包括但不限于天线、至少一个放大器、收发信机、耦合器、低噪声放大器、双工器等。此外，射频单元101还可以通过无线通信与网络和其他设备通信。上述无线通信可以使用任一通信标准或协议，包括但不限于GSM(Global System of Mobile communication，全球移动通讯系统)、GPRS(General Packet Radio Service，通用分组无线服务)、 CDMA2000(Code Division Multiple Access 2000，码分多址2000)、WCDMA(Wideband Code Division Multiple Access,宽带码分多址)、TD-SCDMA(Time Division-Synchronous Code Division Multiple Access，时分同步码分多址)、FDD-LTE(Frequency Division Duplexing-Long Term Evolution，频分双工长期演进)和TDD-LTE(Time Division Duplexing-Long Term Evolution，分时双工长期演进)等。
WiFi属于短距离无线传输技术，移动终端100通过WiFi模块102可以帮助用户收发电子邮件、浏览网页和访问流式媒体等，它为用户提供了无线的宽带互联网访问。虽然图1示出了WiFi模块102，但是可以理解的是，其并不属于移动终端的必须构成，完全可以根据需要在不改变发明的本质的范围内而省略。
音频输出单元103可以在移动终端100处于呼叫信号接收模式、通话模式、记录模式、语音识别模式、广播接收模式等等模式下时，将射频单元101或WiFi模块102接收的或者在存储器109中存储的音频数据转换成音频信号并且输出为声音。而且，音频输出单元103还可以提供与移动终端100执行的特定功能相关的音频输出(例如，呼叫信号接收声音、消息接收声音等等)。音频输出单元103可以包括扬声器、蜂鸣器等等。
A/V输入单元104用于接收音频或视频信号。A/V输入单元104可以包括图形处理器(Graphics Processing Unit，GPU)1041和麦克风1042，图形处理器1041对在视频捕获模式或图像捕获模式中由图像捕获装置(如摄像头)获得的静态图片或视频的图像数据进行处理。处理后的图像帧可以显示在显示单元106上。经图形处理器1041处理后的图像帧可以存储在存储器109(或其它存储介质)中或者经由射频单元101或WiFi模块102进行发送。麦克风1042可以在电话通话模式、记录模式、语音识别模式等等运行模式中经由麦克风1042接收声音(音频数据)，并且能够将这样的声音处理为音频数据。处理后的音频(语音)数据可以在电话通话模式的情况下转换为可经由射频单元101发送到移动通信基站的格式输出。麦克风1042可以实施各种类型的噪声消除(或抑制)算法以消除(或抑制)在接收和发送音频信号的过程中产生的噪声或者干扰。
移动终端100还包括至少一种传感器105，比如光传感器、运动传感器以及其他传感器。具体地，光传感器包括环境光传感器及接近传感器，其中，环境光传感器可根据环境光线的明暗来调节显示面板1061的亮度，接近传感器可在移动终端100移动到耳边时，关闭显示面板1061和/或背光。作为运动传感器的一种，加速计传感器可检测各个方向上(一般为三轴)加速度的大小，静止时可检测出重力的大小及方向，可用于识别手机姿态的应用(比如横竖屏切换、相关游戏、磁力计姿态校准)、振动识别相关功能(比如计步器、敲击)等；至于手机还可配置的指纹传感器、压力传感器、虹膜传感器、分子传感器、陀螺仪、气压计、湿度计、温度计、图像感测器、红外线传感器等 其他传感器，在此不再赘述。
显示单元106用于显示由用户输入的信息或提供给用户的信息。显示单元106可包括显示面板1061，可以采用液晶显示器(Liquid Crystal Display，LCD)、有机发光二极管(Organic Light-Emitting Diode,OLED)等形式来配置显示面板1061。
用户输入单元107可用于接收输入的数字或字符信息，以及产生与移动终端的用户设置以及功能控制有关的键信号输入。具体地，用户输入单元107可包括触控面板1071以及其他输入设备1072。触控面板1071，也称为触摸屏，可收集用户在其上或附近的触摸操作(比如用户使用手指、触笔等任何适合的物体或附件在触控面板1071上或在触控面板1071附近的操作)，并根据预先设定的程式驱动相应的连接装置。触控面板1071可包括触摸检测装置和触摸控制器两个部分。其中，触摸检测装置检测用户的触摸方位，并检测触摸操作带来的信号，将信号传送给触摸控制器；触摸控制器从触摸检测装置上接收触摸信息，并将它转换成触点坐标，再送给处理器110，并能接收处理器110发来的命令并加以执行。此外，可以采用电阻式、电容式、红外线以及表面声波等多种类型实现触控面板1071。除了触控面板1071，用户输入单元107还可以包括其他输入设备1072。具体地，其他输入设备1072可以包括但不限于物理键盘、功能键(比如音量控制按键、开关按键等)、轨迹球、鼠标、操作杆等中的一种或多种，具体此处不做限定。
进一步的，触控面板1071可覆盖显示面板1061，当触控面板1071检测到在其上或附近的触摸操作后，传送给处理器110以确定触摸事件的类型，随后处理器110根据触摸事件的类型在显示面板1061上提供相应的视觉输出。虽然在图1中，触控面板1071与显示面板1061是作为两个独立的部件来实现移动终端的输入和输出功能，但是在某些实施例中，可以将触控面板1071与显示面板1061集成而实现移动终端的输入和输出功能，具体此处不做限定。
接口单元108用作至少一个外部装置与移动终端100连接可以通过的接口。例如，外部装置可以包括有线或无线头戴式耳机端口、外部电源(或电池充电器)端口、有线或无线数据端口、存储卡端口、用于连接具有识别模块的装置的端口、音频输入/输出(I/O)端口、视频I/O端口、耳机端口等等。接口单元108可以用于接收来自外部装置的输入(例如，数据信息、电力等等)并且将接收到的输入传输到移动终端100内的一个或多个元件或者可以用于在移动终端100和外部装置之间传输数据。
存储器109可用于存储软件程序以及各种数据。存储器109可主要包括存储程序区和存储数据区，其中，存储程序区可存储操作系统、至少一个功能所需的应用程序(比如声音播放功能、图像播放功能等)等；存储数据区可存储根据手机的使用所创建的数据(比如音频数据、电话本等)等。此外， 存储器109可以包括高速随机存取存储器，还可以包括非易失性存储器，例如至少一个磁盘存储器件、闪存器件、或其他易失性固态存储器件。
处理器110是移动终端的控制中心，利用各种接口和线路连接整个移动终端的各个部分，通过运行或执行存储在存储器109内的软件程序和/或模块，以及调用存储在存储器109内的数据，执行移动终端的各种功能和处理数据，从而对移动终端进行整体监控。处理器110可包括一个或多个处理单元；优选的，处理器110可集成应用处理器和调制解调处理器，其中，应用处理器主要处理操作系统、用户界面和应用程序等，调制解调处理器主要处理无线通信。可以理解的是，上述调制解调处理器也可以不集成到处理器110中。
移动终端100还可以包括给各个部件供电的电源111(比如电池)，优选的，电源111可以通过电源管理系统与处理器110逻辑相连，从而通过电源管理系统实现管理充电、放电、以及功耗管理等功能。
尽管图1未示出，移动终端100还可以包括蓝牙模块等，在此不再赘述。
为了便于理解本发明实施例，下面对本发明的移动终端所基于的通信网络系统进行描述。
请参阅图2，图2为本发明实施例提供的一种通信网络系统架构图，该通信网络系统为通用移动通信技术的LTE系统，该LTE系统包括依次通讯连接的UE(User Equipment，用户设备)201，E-UTRAN(Evolved UMTS Terrestrial Radio Access Network，演进式UMTS陆地无线接入网)202，EPC(Evolved Packet Core，演进式分组核心网)203和运营商的IP业务204。
具体地，UE201可以是上述终端100，此处不再赘述。
E-UTRAN202包括eNodeB2021和其它eNodeB2022等。其中，eNodeB2021可以通过回程(backhaul)(例如X2接口)与其它eNodeB2022连接，eNodeB2021连接到EPC203，eNodeB2021可以提供UE201到EPC203的接入。
EPC203可以包括MME(Mobility Management Entity，移动性管理实体)2031，HSS(Home Subscriber Server，归属用户服务器)2032，其它MME2033，SGW(Serving Gate Way，服务网关)2034，PGW(PDN Gate Way，分组数据网络网关)2035和PCRF(Policy and Charging Rules Function，政策和资费功能实体)2036等。其中，MME2031是处理UE201和EPC203之间信令的控制节点，提供承载和连接管理。HSS2032用于提供一些寄存器来管理诸如归属位置寄存器(图中未示)之类的功能，并且保存有一些有关服务特征、数据速率等用户专用的信息。所有用户数据都可以通过SGW2034进行发送，PGW2035可以提供UE 201的IP地址分配以及其它功能，PCRF2036是业务数据流和IP承载资源的策略与计费控制策略决策点，它为策略与计费执行功能单元(图中未示)选择及提供可用的策略和计费控制决策。
IP业务204可以包括因特网、内联网、IMS(IP Multimedia Subsystem， IP多媒体子系统)或其它IP业务等。
虽然上述以LTE系统为例进行了介绍，但本领域技术人员应当知晓，本发明不仅仅适用于LTE系统，也可以适用于其他无线通信系统，例如GSM、CDMA2000、WCDMA、TD-SCDMA以及未来新的网络系统等，此处不做限定。
基于上述移动终端100硬件结构以及通信网络系统，提出本发明方法各个实施例。
首先，本发明提出一种信息推荐程序300。
参阅图3所示，是本发明信息推荐程序300第一实施例的功能模块图。本实施例中，所述的信息推荐程序300可以被分割成一个或多个模块，所述一个或者多个模块被存储于所述移动终端100的存储器109中，并由一个或多个处理器(本实施例中为所述处理器110)所执行，以完成本发明。例如，在图3中，所述的信息推荐程序300可以被分割成采集模块301、判断模块302、信息推荐模块303、建立查询模块304、权重分配模块305以及计算处理模块306。本发明所称的功能模块是指能够完成特定功能的一系列计算机程序指令段，比程序更适合于描述所述信息推荐程序300在所述移动终端100中的执行过程。以下将就各功能模块301-306的功能进行详细描述。
所述采集模块301，用于采集用户浏览当前内容时的当前生物表征信息。
具体地，所述采集模块301通过传感器105采集用户浏览当前内容时的当前生物表征信息。本实施例中，生物表征信息可以包括以下元素：用户脸部肌肉变化、眉宇舒张情况、嘴巴状态变化、鼻子形态变化、眼球变动、及肢体动作等。
所述判断模块302，用于根据所述当前生物表征信息判断所述用户是否对所述当前内容感兴趣。所述根据当前生物表征信息判断所述用户是否对所述当前内容感兴趣的步骤将在下文进行详述。
且当所述判断模块302判断用户对所述当前内容感兴趣时，信息推荐模块303提取所述当前内容的关键字并根据所述关键字推荐关联内容给所述用户。
通过上述功能模块301-303，本发明所提出的信息推荐程序300，首先，所述移动终端100采集用户浏览当前内容时的当前生物表征信息，其次，根据所述当前生物表征信息判断所述用户是否对所述当前内容感兴趣，接着，当所述用户对所述当前内容感兴趣时，提取所述当前内容的关键字；最后根据所述关键字推荐关联内容给所述用户。通过移动终端100识别用户的情绪，根据用户的情绪判断用户是否对浏览的内容感兴趣，从而可以根据用户感兴趣的内容推荐一些新的信息。
进一步地，基于本发明信息推荐程序300的上述第一实施例，提出本发明 的第二实施例(如图3所示)。本实施例中，所述采集模块301还用于：
记录所述用户浏览当前内容的时间，且当所述用户浏览所述当前内容的时间超过预设时间时，采集所述用户的当前生物表征信息。
本实施例中，所述预设时间由用户根据实际需要进行设定。
例如，当预设时间为3分钟时，如果用户浏览“军事内容”超过3分钟，采集模块301开始采集所述用户的当前生物表征信息。反之，当用户浏览“军事内容”只有1分钟(没有超过预设时间3分钟)时，采集模块301忽略所述用户的浏览动作，并不会采集所述用户的生物表征信息。
通过上述功能模块301，本发明所提出的信息推荐程序300，通过记录所述用户浏览当前内容的时间，且当所述用户浏览所述当前内容的时间超过预设时间时，采集所述用户的当前生物表征信息，可以避免采集过多用户浏览不感兴趣内容时的生物表征信息，导致误判，而且增加移动终端100的负载。
进一步地，基于本发明信息推荐程序300的上述第一至第二实施例，提出本发明的第三实施例(如图4所示)。本实施例中，所述的信息推荐程序300还包括建立查询模块304，其中：
本实施例中，建立查询模块304用于预先建立各种生物表征信息与各种用户情绪之间的映射表，所述用户情绪至少包括：愉快、愤怒、悲伤、恐惧、快乐及惊讶中的一种。
本实施例中，所述判断模块302还用于：根据所述当前生物表征信息从所述映射表中查询所述用户的当前情绪；当根据所述当前生物表征信息从所述映射表中查询所述用户的当前情绪成功时，判断所述用户对所述当前内容感兴趣；及当根据所述当前生物表征信息从所述映射表中查询所述用户的当前情绪失败时，判断所述用户对所述当前内容不感兴趣。
通过上述功能模块301-304，本发明所提出的信息推荐程序300，能够根据预先建立的各种生物表征信息与各种用户情绪之间的映射表来快速判断用户对当前内容是否感兴趣。
进一步地，基于本发明信息推荐程序300的上述第一至第三实施例，提出本发明的第四实施例(如图5所示)。本实施例中，所述的信息推荐程序300还包括权重分配模块305及计算处理模块306，其中：
本实施例中，所述信息推荐模块303还用于：分析所述当前内容，并从所述当前内容中提取多个分词。
所述权重分配模块305用于在信息推荐模块303提取了多个分词后，根据预设参数为所述多个分词分别分配相应的权重值Wi，其中，所述预设参数包括位置、字体、大小、颜色、词性及频率中的一种或者多种。
本实施例中，所述判断模块302还用于：判断所述当前内容所属的网页类别。所述网页类别包括“音乐”、“新闻”、“体育”、“军事”、“娱乐”、“财经”、“广告”等多个主题类别，或者是其他网页类别。所述网页类别可以根据统计算法 获得。
所述计算处理模块306用于，首先将所述多个分词中的各个分词与所述网页类别进行关联搜索以得到所述各个分词在所述网页类别下的相关系数ri，然后计算处理模块306根据所述权重值Wi和所述相关系数ri，计算所述各个分词的相关度Ri；最后计算处理模块306比较所述各个分词的相关度Ri值，定义Ri值最大的目标分词为关键字。在计算处理模块106取得关键字后，计算处理模块306还推荐所述目标分词的关联内容给所述用户。
通过上述功能模块301-306，本发明所提出的信息推荐程序300，能够识别用户的情绪，根据用户的情绪判断用户是否对浏览的内容感兴趣，从而可以根据用户感兴趣的内容推荐一些新的信息。
此外，本发明还提出一种信息推荐方法。
参阅图6所示，是本发明信息推荐方法第一实施例的实施流程示意图。在本实施例中，根据不同的需求，图6所示的流程图中的步骤的执行顺序可以改变，某些步骤可以省略。
步骤S601，采集用户浏览当前内容时的当前生物表征信息。
具体地，所述移动终端100通过传感器105采集用户浏览当前内容时的当前生物表征信息。本实施例中，生物表征信息可以包括以下元素：用户脸部肌肉变化、眉宇舒张情况、嘴巴状态变化、鼻子形态变化、眼球变动、及肢体动作等。
步骤S602，根据所述当前生物表征信息判断所述用户是否对所述当前内容感兴趣。当所述用户对所述当前内容感兴趣时,执行步骤S603及步骤S604，反之，当所述用户对所述当前内容不感兴趣时，执行步骤S601。所述根据当前生物表征信息判断所述用户是否对所述当前内容感兴趣的步骤将在下文进行详述。
步骤S603，提取所述当前内容的关键字。
步骤S604，根据所述关键字推荐关联内容给所述用户。
具体地，移动终端100采集用户浏览当前内容时的当前生物表征信息，根据所述当前生物表征信息判断所述用户是否对所述当前内容感兴趣，当所述用户对所述当前内容感兴趣时，提取所述当前内容的关键字；及根据所述关键字推荐关联内容给所述用户。反之，当所述用户对所述当前内容感兴趣时，移动终端100继续采集用户浏览当前内容时的当前生物表征信息。
通过上述步骤S601-604，本发明所提出的信息推荐方法，首先，所述移动终端100采集用户浏览当前内容时的当前生物表征信息，其次，根据所述当前生物表征信息判断所述用户是否对所述当前内容感兴趣，接着，当所述用户对所述当前内容感兴趣时，提取所述当前内容的关键字；最后根据所述关键字推荐关联内容给所述用户。通过移动终端100识别用户的情绪，根据用户的情绪判断用户是否对浏览的内容感兴趣，从而可以根据用户感兴趣的内容推荐一些新的信息。
如图7所示，是本发明信息推荐方法的第二实施例的实施流程示意图。在本实施例中，所述采集所述用户浏览当前内容时的当前生物表征信息的步骤，具体包括：
步骤S701，记录所述用户浏览当前内容的时间。
步骤S702，判断所述用户浏览所述当前内容的时间是否超过预设时间。当所述用户浏览所述当前内容的时间超过预设时间时，执行步骤S703，反之，当所述用户浏览所述当前内容的时间未超过预设时间时，执行步骤S701。
步骤S703，采集所述用户的当前生物表征信息。
本实施例中，所述预设时间由用户根据实际需要进行设定。例如，当预设时间为3分钟时，如果用户浏览“军事内容”超过3分钟，采集模块301开始采集所述用户的当前生物表征信息。反之，当用户浏览“军事内容”只有1分钟(没有超过预设时间3分钟)时，采集模块301忽略所述用户的浏览动作，并不会采集所述用户的生物表征信息。
通过上述步骤S701-S703，本发明所提出的信息推荐方法，通过记录所述用户浏览当前内容的时间，且当所述用户浏览所述当前内容的时间超过预设时间时，采集所述用户的当前生物表征信息，可以避免采集过多用户浏览不感兴趣内容时的生物表征信息，导致误判，而且增加移动终端100的负载。
如图8所示，是本发明信息推荐方法的第三实施例的实施流程示意图。本实施例中，所述根据所述当前生物表征信息判断所述用户是否对所述当前内容感兴趣的步骤，具体包括：
步骤S801，预先建立各种生物表征信息与各种用户情绪之间的映射表，所述用户情绪至少包括：愉快、愤怒、悲伤、恐惧、快乐及惊讶中的一种或者多种。
步骤S802，根据所述当前生物表征信息从所述映射表中查询所述用户的当前情绪。
步骤S803，判断是否能够根据当前生物表征信息从所述映射表中成功查询所述用户的当前情绪。当根据当前生物表征信息从所述映射表中查询所述用户的当前情绪成功时，执行步骤S804；反之，当根据所述当前生物表征信息从所述映射表中查询所述用户的当前情绪失败时，执行步骤S805。
步骤S804，判断所述用户对所述当前内容感兴趣。
步骤S805，判断所述用户对所述当前内容不感兴趣。
通过上述步骤S801-S805，本发明所提出的信息推荐方法，能够根据预先建立的各种生物表征信息与各种用户情绪之间的映射表来快速判断用户对当前内容是否感兴趣。
进一步地，基于本发明信息推荐方法的上述第一实施例，提出本发明信息推荐方法的第四实施例。
如图9所示，是本发明信息推荐方法的第四实施例的实施流程示意图。本实施例中，所述根据所述关键字推荐关联内容给所述用户的步骤，具体包括：
步骤S901，分析所述当前内容，并从所述当前内容中提取多个分词。
步骤S902，根据预设参数为所述多个分词分别分配相应的权重值Wi。其中，所述预设参数包括位置、字体、大小、颜色、词性及频率中的一种或者多种。
步骤S903，判断所述当前内容所属的网页类别。所述网页类别包括“音乐”、“新闻”、“体育”、“军事”、“娱乐”、“财经”、“广告”等多个主题类别，或者是其他网页类别。所述网页类别可以根据统计算法获得。
步骤S904，将所述多个分词中的各个分词与所述网页类别进行关联搜索以得到所述各个分词在所述网页类别下的相关系数ri。
步骤S905，根据所述权重值Wi和所述相关系数ri，计算所述各个分词的相关度Ri。
步骤S906，比较所述各个分词的相关度Ri值，定义Ri值最大的目标分词为关键字。
步骤S907，推荐所述目标分词的关联内容给所述用户。
通过上述步骤S901-S907，本发明所提出的信息推荐方法，还能够识别用户的情绪，根据用户的情绪判断用户是否对浏览的内容感兴趣，从而可以根据用户感兴趣的内容推荐一些新的信息。
上述本发明实施例序号仅仅为了描述，不代表实施例的优劣。
通过以上的实施方式的描述，本领域的技术人员可以清楚地了解到上述实施例方法可借助软件加必需的通用硬件平台的方式来实现，当然也可以通过硬件，但很多情况下前者是更佳的实施方式。基于这样的理解，本发明的技术方案本质上或者说对现有技术做出贡献的部分可以以软件产品的形式体现出来，该计算机软件产品存储在一个存储介质(如ROM/RAM、磁碟、光盘)中，包括若干指令用以使得一台终端设备(可以是手机，计算机，服务器，空调器，或者网络设备等)执行本发明各个实施例所述的方法。
以上仅为本发明的优选实施例，并非因此限制本发明的专利范围，凡是利用本发明说明书及附图内容所作的等效结构或等效流程变换，或直接或间接运用在其他相关的技术领域，均同理包括在本发明的专利保护范围内。

Claims (19)

  1. 一种信息推荐方法，应用于移动终端，其特征在于，所述方法包括：
    采集用户浏览当前内容时的当前生物表征信息；
    根据所述当前生物表征信息判断所述用户是否对所述当前内容感兴趣；
    当所述用户对所述当前内容感兴趣时，提取所述当前内容的关键字；及
    根据所述关键字推荐关联内容给所述用户。
  2. 如权利要求1所述的信息推荐方法，其特征在于，在所述采集用户浏览当前内容时的当前生物表征信息的步骤之前，所述方法还包括：
    记录所述用户浏览当前内容的时间；及
    当所述用户浏览所述当前内容的时间超过预设时间时，采集所述用户的当前生物表征信息。
  3. 如权利要求2所述的信息推荐方法，其特征在于，生物表征信息包括：用户脸部肌肉变化、眉宇舒张情况、嘴巴状态变化、鼻子形态变化、眼球变动及肢体动作的其中一种或任意多种，所述方法还包括：
    预先建立各种生物表征信息与各种用户情绪之间的映射表，所述用户情绪至少包括：愉快、愤怒、悲伤、恐惧、快乐及惊讶。
  4. 如权利要求3所述的信息推荐方法，其特征在于，其特征在于，所述根据所述当前生物表征信息判断所述用户是否对所述当前内容感兴趣的步骤，具体包括：
    根据所述当前生物表征信息从所述映射表中查询所述用户的当前情绪；及
    当根据所述当前生物表征信息从所述映射表中查询所述用户的当前情绪成功时，判断所述用户对所述当前内容感兴趣；及
    当根据所述当前生物表征信息从所述映射表中查询所述用户的当前情绪失败时，判断所述用户对所述当前内容不感兴趣。
  5. 如权利要求1所述的信息推荐方法，其特征在于，生物表征信息包括：用户脸部肌肉变化、眉宇舒张情况、嘴巴状态变化、鼻子形态变化、眼球变动及肢体动作的其中一种或任意多种，所述方法还包括：
    预先建立各种生物表征信息与各种用户情绪之间的映射表，所述用户情绪至少包括：愉快、愤怒、悲伤、恐惧、快乐及惊讶。
  6. 如权利要求5所述的信息推荐方法，其特征在于，其特征在于，所述根据所述当前生物表征信息判断所述用户是否对所述当前内容感兴趣的步骤，具体包括：
    根据所述当前生物表征信息从所述映射表中查询所述用户的当前情绪；及
    当根据所述当前生物表征信息从所述映射表中查询所述用户的当前情绪成功时，判断所述用户对所述当前内容感兴趣；及
    当根据所述当前生物表征信息从所述映射表中查询所述用户的当前情绪 失败时，判断所述用户对所述当前内容不感兴趣。
  7. 如权利要求1所述的信息推荐方法，其特征在于，所述根据所述关键字推荐关联内容给所述用户的步骤包括：
    分析所述当前内容，并从所述当前内容中提取多个分词；
    根据预设参数为所述多个分词分别分配相应的权重值Wi，其中，所述预设参数包括位置、字体、大小、颜色、词性及频率中的一种或者多种；
    判断所述当前内容所属的网页类别；
    将所述多个分词中的各个分词与所述网页类别进行关联搜索以得到所述各个分词在所述网页类别下的相关系数ri；
    根据所述权重值Wi和所述相关系数ri，计算所述各个分词的相关度Ri；
    比较所述各个分词的相关度Ri值，定义Ri值最大的目标分词为关键字；及
    推荐所述目标分词的关联内容给所述用户。
  8. 一种移动终端，其特征在于，所述移动终端包括存储器、处理器及存储在所述存储器上并可在所述处理器上运行的信息推荐程序，所述信息推荐程序被所述处理器执行时实现如下步骤：
    采集所述用户浏览当前内容时的当前生物表征信息；
    根据所述当前生物表征信息判断所述用户是否对所述当前内容感兴趣；
    当所述用户对所述当前内容感兴趣时，提取所述当前内容的关键字；及
    根据所述关键字推荐关联内容给所述用户。
  9. 如权利要求8所述的移动终端，其特征在于，所述信息推荐程序被所述处理器执行时还实现如下步骤：
    记录所述用户浏览当前内容的时间；及
    当所述用户浏览所述当前内容的时间超过预设时间时，采集所述用户的当前生物表征信息。
  10. 如权利要求9所述的移动终端，其特征在于，生物表征信息包括：用户脸部肌肉变化、眉宇舒张情况、嘴巴状态变化、鼻子形态变化、眼球变动及肢体动作的其中一种或任意多种，所述信息推荐程序被所述处理器执行时还实现如下步骤：
    预先建立各种生物表征信息与各种用户情绪之间的映射表，所述用户情绪至少包括：愉快、愤怒、悲伤、恐惧、快乐及惊讶。
  11. 如权利要求10所述的移动终端，其特征在于，所述根据所述当前生物表征信息判断所述用户是否对所述当前内容感兴趣的步骤，具体包括：
    根据所述当前生物表征信息从所述映射表中查询所述用户的当前情绪；及
    当根据所述当前生物表征信息从所述映射表中查询所述用户的当前情绪成功时，判断所述用户对所述当前内容感兴趣；及
    当根据所述当前生物表征信息从所述映射表中查询所述用户的当前情绪失败时，判断所述用户对所述当前内容不感兴趣。
  12. 如权利要求8所述的移动终端，其特征在于，生物表征信息包括：用户脸部肌肉变化、眉宇舒张情况、嘴巴状态变化、鼻子形态变化、眼球变动及肢体动作的其中一种或任意多种，所述信息推荐程序被所述处理器执行时还实现如下步骤：
    预先建立各种生物表征信息与各种用户情绪之间的映射表，所述用户情绪至少包括：愉快、愤怒、悲伤、恐惧、快乐及惊讶。
  13. 如权利要求12所述的移动终端，其特征在于，所述根据所述当前生物表征信息判断所述用户是否对所述当前内容感兴趣的步骤，具体包括：
    根据所述当前生物表征信息从所述映射表中查询所述用户的当前情绪；及
    当根据所述当前生物表征信息从所述映射表中查询所述用户的当前情绪成功时，判断所述用户对所述当前内容感兴趣；及
    当根据所述当前生物表征信息从所述映射表中查询所述用户的当前情绪失败时，判断所述用户对所述当前内容不感兴趣。
  14. 如权利要求8所述的移动终端，其特征在于，所述根据所述关键字推荐关联内容给所述用户的步骤包括：
    分析所述当前内容，并从所述当前内容中提取多个分词；
    根据预设参数为所述多个分词分别分配相应的权重值Wi，其中，所述预设参数包括位置、字体、大小、颜色、词性及频率中的一种或者多种；
    判断所述当前内容所属的网页类别；
    将所述多个分词中的各个分词与所述网页类别进行关联搜索以得到所述各个分词在所述网页类别下的相关系数ri；
    根据所述权重值Wi和所述相关系数ri，计算所述各个分词的相关度Ri；
    比较所述各个分词的相关度Ri值，定义Ri值最大的目标分词为关键字；及
    推荐所述目标分词的关联内容给所述用户。
  15. 一种计算机可读存储介质，所述计算机可读存储介质存储有信息推荐程序，所述信息推荐程序可被至少一个处理器执行，以使所述至少一个处理器执行如下步骤：
    采集所述用户浏览当前内容时的当前生物表征信息；
    根据所述当前生物表征信息判断所述用户是否对所述当前内容感兴趣；
    当所述用户对所述当前内容感兴趣时，提取所述当前内容的关键字；及
    根据所述关键字推荐关联内容给所述用户。
  16. 如权利要求15所述的计算机可读存储介质，其特征在于，所述信息推荐程序被所述处理器执行时还实现如下步骤：
    记录所述用户浏览当前内容的时间；及
    当所述用户浏览所述当前内容的时间超过预设时间时，采集所述用户的当前生物表征信息。
  17. 如权利要求15所述的计算机可读存储介质，其特征在于，生物表征 信息包括：用户脸部肌肉变化、眉宇舒张情况、嘴巴状态变化、鼻子形态变化、眼球变动及肢体动作的其中一种或任意多种，所述信息推荐程序被所述处理器执行时还实现如下步骤：
    预先建立各种生物表征信息与各种用户情绪之间的映射表，所述用户情绪至少包括：愉快、愤怒、悲伤、恐惧、快乐及惊讶。
  18. 如权利要求17所述的计算机可读存储介质，其特征在于，所述根据所述当前生物表征信息判断所述用户是否对所述当前内容感兴趣的步骤，具体包括：
    根据所述当前生物表征信息从所述映射表中查询所述用户的当前情绪；及
    当根据所述当前生物表征信息从所述映射表中查询所述用户的当前情绪成功时，判断所述用户对所述当前内容感兴趣；及
    当根据所述当前生物表征信息从所述映射表中查询所述用户的当前情绪失败时，判断所述用户对所述当前内容不感兴趣。
  19. 如权利要求15所述的计算机可读存储介质，其特征在于，所述根据所述关键字推荐关联内容给所述用户的步骤包括：
    分析所述当前内容，并从所述当前内容中提取多个分词；
    根据预设参数为所述多个分词分别分配相应的权重值Wi，其中，所述预设参数包括位置、字体、大小、颜色、词性及频率中的一种或者多种；
    判断所述当前内容所属的网页类别；
    将所述多个分词中的各个分词与所述网页类别进行关联搜索以得到所述各个分词在所述网页类别下的相关系数ri；
    根据所述权重值Wi和所述相关系数ri，计算所述各个分词的相关度Ri；
    比较所述各个分词的相关度Ri值，定义Ri值最大的目标分词为关键字；及
    推荐所述目标分词的关联内容给所述用户。
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