CN109408708A - Method, apparatus, computer equipment and the storage medium that user recommends - Google Patents
Method, apparatus, computer equipment and the storage medium that user recommends Download PDFInfo
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- CN109408708A CN109408708A CN201811119633.9A CN201811119633A CN109408708A CN 109408708 A CN109408708 A CN 109408708A CN 201811119633 A CN201811119633 A CN 201811119633A CN 109408708 A CN109408708 A CN 109408708A
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Abstract
This application involves data analysis fields, propose a kind of method, apparatus, computer equipment and storage medium that user recommends.The described method includes: obtaining the integrated data of second user of the location information in the preset threshold range of the first user, integrated data includes voice recognition data, visual identity data and physiological activity data, relationship quantized value between the user between second user and the first user is determined according to preset big data sample database and voice recognition data, the Activity Index of second user is determined according to visual identity data, the physiological index of second user is determined according to physiological activity data, according to relationship quantized value between user, Activity Index, physiological index and the preset rule of exponentials, second user is generated to the likability of the first user, according to the user information of likability push second user to the first user.It can be realized the reasonable recommendation of friend-making person using this method.
Description
Technical field
This application involves technical field of data processing, the method, apparatus recommended more particularly to a kind of user, computer are set
Standby and storage medium.
Background technique
With the development of big data technology, big data starts to be applied to every field.It is continuous with people's friend-making demand
Expand, occurs recommending the application software made friends based on big data.Recommend to hand in the application software that recommendation traditional at present is made friends
The mode of friendly user is the analysis based on common good friend's data or the identical geographic position data to user, is recommended to user
Friend-making user.
It is this that the mode made friends is recommended to recommend the matching rate of person low, it is difficult to realize the reasonable recommendation of person.
Summary of the invention
Based on this, it is necessary in view of the above technical problems, provide a kind of use rationally recommended that can be realized friend-making person
Method, apparatus, computer equipment and the storage medium that family is recommended.
A kind of method that user recommends, which comprises
Obtain the integrated data of second user of the location information in the preset threshold range of the first user, integrated data packet
Include voice recognition data, visual identity data and physiological activity data；
The user between second user and the first user is determined according to preset big data sample database and voice recognition data
Between relationship quantized value；
The Activity Index of second user is determined according to visual identity data；
The physiological index of second user is determined according to physiological activity data；
According to relationship quantized value, Activity Index, physiological index and the preset rule of exponentials between user, second user is generated
To the likability of the first user；
According to the user information of likability push second user to the first user.
In one of the embodiments, according to preset big data sample database and voice recognition data determine second user with
Relationship quantized value between user between first user, comprising:
Voice recognition data is converted into text；
According to the keyword for speech recognition in the characters matching big data sample database after conversion；
Statistics is used for the frequency occurred in the text of the keyword of speech recognition after conversion and number；
It is determined between second user and the first user according to the frequency of the keyword appearance for speech recognition and number
User between relationship quantized value.
The Activity Index of second user is determined according to visual identity data in one of the embodiments, comprising:
According to the expression in the eyes data and face data of visual identity data acquisition second user；
Expression in the eyes situation of change and the expression in the eyes residence time of second user are determined according to expression in the eyes data；
The face situation of change of second user is determined according to face data and preset ethnic group face database；
According to expression in the eyes situation of change, expression in the eyes residence time and face situation of change, the Activity Index of second user is determined.
The physiological index of second user is determined according to physiological activity data in one of the embodiments, comprising:
According to the temperature data, oximetry data and heartbeat data of physiological activity data acquisition second user；
The Temperature changing situation of second user is determined according to temperature data；
The blood oxygen situation of change of second user is determined according to oximetry data；
The heartbeat situation of change of second user is determined according to heartbeat data；
According to Temperature changing situation, blood oxygen situation of change and heartbeat situation of change, the physiological index of second user is determined.
In one of the embodiments, after the user information to the first user for pushing second user according to likability,
Include:
Obtain the historical viewings data of the first user；
According to the historical viewings data of the first user, the preference profiles of the first user are determined；
Calculate the matching degree between the preference profiles in the preference profiles and preset preference profiles database of the first user；
The third user of matching degree within a preset range is obtained, and pushes to the first user.
Obtaining second user of the location information in the preset threshold range of the first user in one of the embodiments,
Integrated data before, comprising:
Obtain the keyword for being used for speech recognition；
It will be used in the keyword deposit big data sample database of speech recognition.
A kind of device that user recommends, described device include:
Module is obtained, for obtaining the synthesis number of second user of the location information in the preset threshold range of the first user
According to integrated data includes voice recognition data, visual identity data and physiological activity data；
First index module, for determining second user and the according to preset big data sample database and voice recognition data
Relationship quantized value between user between one user；
Second index module, for determining the Activity Index of second user according to visual identity data；
Third index module, for determining the physiological index of second user according to physiological activity data；
Processing module, for being advised according to relationship quantized value, Activity Index, physiological index and preset index between user
Then, second user is generated to the likability of the first user；
Pushing module, for pushing the user information of second user according to likability to the first user.
The device that user recommends in one of the embodiments, includes recommending module, and recommending module is used for obtaining first
The historical viewings data at family determine the preference profiles of the first user according to the historical viewings data of the first user, calculate first and use
The matching degree between preference profiles in the preference profiles at family and preset preference profiles database obtains matching degree in default model
Interior third user is enclosed, and pushes to the first user.
A kind of computer equipment, including memory and processor, the memory are stored with computer program, the processing
Device performs the steps of when executing the computer program
Obtain the integrated data of second user of the location information in the preset threshold range of the first user, integrated data packet
Include voice recognition data, visual identity data and physiological activity data；
The user between second user and the first user is determined according to preset big data sample database and voice recognition data
Between relationship quantized value；
The Activity Index of second user is determined according to visual identity data；
The physiological index of second user is determined according to physiological activity data；
According to relationship quantized value, Activity Index, physiological index and the preset rule of exponentials between user, second user is generated
To the likability of the first user；
According to the user information of likability push second user to the first user.
A kind of computer readable storage medium, is stored thereon with computer program, and the computer program is held by processor
It is performed the steps of when row
Obtain the integrated data of second user of the location information in the preset threshold range of the first user, integrated data packet
Include voice recognition data, visual identity data and physiological activity data；
The user between second user and the first user is determined according to preset big data sample database and voice recognition data
Between relationship quantized value；
The Activity Index of second user is determined according to visual identity data；
The physiological index of second user is determined according to physiological activity data；
According to relationship quantized value, Activity Index, physiological index and the preset rule of exponentials between user, second user is generated
To the likability of the first user；
According to the user information of likability push second user to the first user.
Method, apparatus, computer equipment and the storage medium that above-mentioned user recommends obtain location information the first user's
The integrated data of second user in preset threshold range, analyzes integrated data, according to preset big data sample database
And voice recognition data determines relationship quantized value between the user between second user and the first user, it is true according to visual identity data
The Activity Index for determining second user determines the physiological index of second user according to physiological activity data, according to relationship amount between user
Change value, Activity Index, physiological index and the preset rule of exponentials, generate second user to the likability of the first user, according to
Likability pushes the user information of second user to the first user, realizes the reasonable recommendation of friend-making person.
Detailed description of the invention
Fig. 1 is the application scenario diagram for the method that user recommends in one embodiment；
Fig. 2 is the flow diagram for the method that user recommends in one embodiment；
Fig. 3 is to determine second user and the according to preset big data sample database and voice recognition data in one embodiment
The flow diagram of relationship quantized value between user between one user；
Fig. 4 is the flow diagram for determining the Activity Index of second user in one embodiment according to visual identity data；
Fig. 5 is the flow diagram for determining the physiological index of second user in one embodiment according to physiological activity data；
Fig. 6 is the flow diagram for the method that user recommends in another embodiment；
Fig. 7 is the flow diagram for the method that user recommends in another embodiment；
Fig. 8 is the structural block diagram for the device that user recommends in one embodiment；
Fig. 9 is the structural block diagram for the device that user recommends in another embodiment；
Figure 10 is the internal structure chart of computer equipment in one embodiment.
Specific embodiment
It is with reference to the accompanying drawings and embodiments, right in order to which the objects, technical solutions and advantages of the application are more clearly understood
The application is further elaborated.It should be appreciated that specific embodiment described herein is only used to explain the application, not
For limiting the application.
The method that user provided by the present application recommends, can be applied in application environment as shown in Figure 1.Wherein, terminal
102 are communicated with server 104 by network by network.Server 104 obtains location information first by terminal 102
The integrated data of second user in the preset threshold range of user, integrated data include voice recognition data, visual identity number
Accordingly and physiological activity data, second user and the first user are determined according to preset big data sample database and voice recognition data
Between user between relationship quantized value, the Activity Index of second user is determined according to visual identity data, according to physiological activity number
According to the physiological index for determining second user, according to relationship quantized value, Activity Index, physiological index and preset index between user
Rule generates second user to the likability of the first user, is used according to the user information of likability push second user to first
Family.Wherein, terminal 102 can be, but not limited to be various portable wearable devices, and server 104 can use independent server
The either server cluster of multiple servers composition is realized.
In one embodiment, as shown in Fig. 2, providing a kind of method that user recommends, it is applied in Fig. 1 in this way
Server for be illustrated, comprising the following steps:
S202: obtaining the integrated data of second user of the location information in the preset threshold range of the first user, comprehensive
Data include voice recognition data, visual identity data and physiological activity data.
Server obtains location information in the preset threshold model of the first user from the portable wearable device of the first user
The integrated data of second user in enclosing, wherein preset threshold range can self-setting as needed, common threshold range
Including the circle that using the first user as the center of circle, radius is one meter.Integrated data include voice recognition data, visual identity data and
Physiological activity data, voice recognition data include the dialog segments data of second user Yu the first user, visual identity data packet
The face feature data of second user are included, physiological activity data include the temperature data, oximetry data and heartbeat of second user
Data.
S204: it is determined between second user and the first user according to preset big data sample database and voice recognition data
Relationship quantized value between user.
The keyword for speech recognition is stored in preset big data sample database, the keyword for speech recognition is used
The relationship quantized value between determining the user between second user and the first user will after server obtains voice recognition data
Voice recognition data is converted to text, according to the key for speech recognition in the characters matching big data sample database after conversion
Word counts the frequency occurred in the text of the keyword for speech recognition in big data sample database after conversion and number,
The frequency and number occurred according to the text after conversion, relationship quantifies between determining the user between second user and the first user
Value, wherein the total score of relationship quantized value is a percentage between user, and the keyword for speech recognition can voluntarily be set as needed
It sets.
S206: the Activity Index of second user is determined according to visual identity data.
Visual identity data include the face feature data of second user, and face feature data include expression in the eyes data and face
Data.Server determines that the Activity Index of second user, Activity Index are used for according to second user according to visual identity data
Visual identity data determine second user to the attention rate of the first user, and the total score of Activity Index is a percentage.
S208: the physiological index of second user is determined according to physiological activity data.
Physiological activity data include the temperature data, oximetry data and heartbeat data of second user.Server is according to life
Reason activity data determines the physiological index of second user, and physiological index is used to determine the according to the physiological activity data of second user
For two users to the attention rate of the first user, the total score of physiological index is a percentage.
S210: according to relationship quantized value, Activity Index, physiological index and the preset rule of exponentials between user, the is generated
Likability of two users to the first user.
Server carries out relationship quantized value, Activity Index and physiological index between user according to the preset rule of exponentials
Weighted sum generates second user to the likability of the first user.Wherein, relationship quantized value, Activity Index and life between user
Manage index weight coefficient can self-setting as needed, the total score of likability is a percentage.For example, user can be set
Between the weight coefficient of relationship quantized value be 0.6, the weight coefficient of Activity Index is 0.2, and the weight of physiological index is 0.2.
S212: according to the user information of likability push second user to the first user.
Server according to the second user of generation to the likability of the first user, to second user to the good opinion of the first user
Degree is ranked up, and the user information of the high second user of push likability to the first user realizes the reasonable recommendation of friend-making user,
Wherein, the user information of second user includes the name of second user and the identity code of second user, the first user Ke Gen
It is good friend according to the user information application addition second user of second user.
The method that above-mentioned user recommends obtains second user of the location information in the preset threshold range of the first user
Integrated data analyzes integrated data, determines second user according to preset big data sample database and voice recognition data
Relationship quantized value between user between the first user, the Activity Index of second user is determined according to visual identity data, according to
Physiological activity data determine the physiological index of second user, according to relationship quantized value between user, Activity Index, physiological index and
The preset rule of exponentials generates second user to the likability of the first user, is believed according to the user that likability pushes second user
Breath realizes the reasonable recommendation of friend-making person to the first user.
In one of the embodiments, as shown in figure 3, S204 includes:
S302: voice recognition data is converted into text；
S304: according to the keyword for speech recognition in the characters matching big data sample database after conversion；
S306: statistics is used for the frequency occurred in the text of the keyword of speech recognition after conversion and number；
S308: second user and the first user are determined according to the frequency of the keyword appearance for speech recognition and number
Between user between relationship quantized value.
Voice recognition data can dialog segments between second user and the first user, the portable of the first user wear
It wears equipment to obtain voice recognition data and be transmitted to server, voice recognition data is converted to text by server, according to conversion
The keyword for speech recognition in characters matching big data sample database afterwards, keyword of the statistics for speech recognition are turning
The frequency and number occurred in text after changing is determined according to the frequency of the keyword appearance for speech recognition and number
Relationship quantized value between user between second user and the first user.It wherein, can be as needed for the keyword of speech recognition
Self-setting, the total score of relationship quantized value is a percentage between user, can be determined according to the quantity of the keyword for speech recognition
The score of each keyword, the frequency and number occurred according to each keyword for speech recognition determine second user with
Relationship quantized value between user between first user.
Voice recognition data is converted to text by above-described embodiment, according to the characters matching big data sample database after conversion
In the keyword for speech recognition, frequency of the statistics for occurring in the keyword text after conversion of speech recognition with
And number, it is determined between second user and the first user according to the frequency of the keyword appearance for speech recognition and number
Relationship quantized value between user realizes and determines relationship between user between second user and the first user according to voice recognition data
Quantized value.
In one of the embodiments, as shown in figure 4, S206 includes:
S402: according to the expression in the eyes data and face data of visual identity data acquisition second user；
S404: expression in the eyes situation of change and the expression in the eyes residence time of second user are determined according to expression in the eyes data；
S406: the face situation of change of second user is determined according to face data and preset ethnic group face database；
S408: according to expression in the eyes situation of change, expression in the eyes residence time and face situation of change, the behavior of second user is determined
Index.
Server is true according to expression in the eyes data according to the expression in the eyes data and face data of visual identity data acquisition second user
It is expression in the eyes situation of change and the expression in the eyes residence time for determining second user, true according to face data and preset ethnic group face database
The face situation of change for determining second user determines according to expression in the eyes situation of change, expression in the eyes residence time and face situation of change
The Activity Index of two users.The portable wearable device of first user obtains the visual identity of second user by visual identity
Data are simultaneously transmitted to server, and server is according to the eyeball of the second user in visual identity data in the position of eyes centre
Time determine the expression in the eyes residence time, while determining the expression in the eyes situation of change of second user according to expression in the eyes data.Second user
Face situation of change need to be determined according to the face data of second user and preset ethnic group face database, ethnic group face data
The color value of face of the different ethnic groups under normal circumstances and in anxiety is stored in library, face data include that second user exists
The face data at each moment in preset threshold range.Server is each in preset threshold range according to second user
The face data at a moment and preset ethnic group face database, determine the face situation of change of second user.
Above-described embodiment, according to the expression in the eyes data and face data of visual identity data acquisition second user, according to expression in the eyes
Data determine expression in the eyes situation of change and the expression in the eyes residence time of second user, according to face data and preset ethnic group face number
The face situation of change that second user is determined according to library, according to expression in the eyes situation of change, expression in the eyes residence time and face situation of change,
The Activity Index for determining second user realizes the Activity Index that second user is determined according to visual identity data.
In one of the embodiments, as shown in figure 5, S208 includes:
S502: according to the temperature data, oximetry data and heartbeat data of physiological activity data acquisition second user；
S504: the Temperature changing situation of second user is determined according to temperature data；
S506: the blood oxygen situation of change of second user is determined according to oximetry data；
S508: the heartbeat situation of change of second user is determined according to heartbeat data；
S510: according to Temperature changing situation, blood oxygen situation of change and heartbeat situation of change, the physiology of second user is determined
Index.
Above-described embodiment, according to the temperature data, oximetry data and beats of physiological activity data acquisition second user
According to, the Temperature changing situation of second user is determined according to temperature data, according to oximetry data determine second user blood oxygen change
Situation determines the heartbeat situation of change of second user according to heartbeat data, according to Temperature changing situation, blood oxygen situation of change and
Heartbeat situation of change determines the physiological index of second user, realizes the physiology that second user is determined according to physiological activity data
Index.
In one of the embodiments, as shown in fig. 6, after S212, comprising:
S602: the historical viewings data of the first user are obtained；
S604: according to the historical viewings data of the first user, the preference profiles of the first user are determined；
S606: between the preference profiles in the preference profiles and preset preference profiles database of the first user is calculated
With degree；
S608: the third user of matching degree within a preset range is obtained, and pushes to the first user.
The historical viewings data of first user include the cuisines information searched for and travel information, the record for listening to music
And the record of watching video.Server obtains the historical viewings data of the first user, clear by the history for analyzing the first user
It lookes at data, determines the preference profiles of the first user, calculate in the preference profiles and preset preference profiles database of the first user
Preference profiles between matching degree, obtain matching degree third user within a preset range, and push to the first user,
In, matching degree can self-setting as needed.
Above-described embodiment obtains the historical viewings data of the first user, according to the historical viewings data of the first user, determines
The preference profiles of first user, calculate the first user preference profiles and preset preference profiles database in preference profiles it
Between matching degree, obtain matching degree third user within a preset range, and push to the first user, realize friend-making person's
Rationally recommend.
In one of the embodiments, as shown in fig. 7, before S202, comprising:
S702: the keyword for being used for speech recognition is obtained；
S704: it will be used in the keyword deposit big data sample database of speech recognition.
Server obtains the keyword for being used for speech recognition, and the keyword for being used for speech recognition is stored in big data sample database
In, wherein the keyword for speech recognition can obtain in every-day language, literary works and the cinematographic work between user
It takes, the quantity of the keyword for speech recognition can self-setting as needed.
Above-described embodiment obtains the keyword for being used for speech recognition, and the keyword for being used for speech recognition is stored in big data
In sample database, the keyword for speech recognition makes server can be according to the key for speech recognition as evaluation criterion
Word determines relationship quantized value between the user between second user and the first user.
Illustrate the scheme of the application below by one embodiment.
Server obtains the keyword for speech recognition first, and the keyword for being used for speech recognition is stored in big data sample
In this library, the integrated data of second user of the location information in the preset threshold range of the first user, integrated data packet are obtained
Voice recognition data, visual identity data and physiological activity data are included, voice recognition data are converted into text, according to conversion
The keyword for speech recognition in characters matching big data sample database afterwards, keyword of the statistics for speech recognition are turning
The frequency and number occurred in text after changing is determined according to the frequency of the keyword appearance for speech recognition and number
Relationship quantized value between user between second user and the first user.Then according to the eye of visual identity data acquisition second user
Refreshing data and face data determine expression in the eyes situation of change and the expression in the eyes residence time of second user according to expression in the eyes data, according to
Face data and preset ethnic group face database determine the face situation of change of second user, according to expression in the eyes situation of change, eye
Refreshing residence time and face situation of change, determine the Activity Index of second user.Then according to physiological activity data acquisition
Temperature data, oximetry data and the heartbeat data of two users determines the Temperature changing situation of second user according to temperature data,
The blood oxygen situation of change that second user is determined according to oximetry data determines that the heartbeat of second user changes feelings according to heartbeat data
Condition determines the physiological index of second user according to Temperature changing situation, blood oxygen situation of change and heartbeat situation of change.Then
According to relationship quantized value, Activity Index, physiological index and the preset rule of exponentials between user, generates second user and use first
The likability at family, according to the user information of likability push second user to the first user.Finally obtain the history of the first user
Data are browsed, according to the historical viewings data of the first user, the preference profiles of the first user is determined, calculates the preference of the first user
The matching degree between preference profiles in feature and preset preference profiles database obtains the of matching degree within a preset range
Three users, and push to the first user.
It should be understood that although each step in the flow chart of Fig. 2-7 is successively shown according to the instruction of arrow,
These steps are not that the inevitable sequence according to arrow instruction successively executes.Unless expressly stating otherwise herein, these steps
Execution there is no stringent sequences to limit, these steps can execute in other order.Moreover, at least one in Fig. 2-7
Part steps may include that perhaps these sub-steps of multiple stages or stage are not necessarily in synchronization to multiple sub-steps
Completion is executed, but can be executed at different times, the execution sequence in these sub-steps or stage is also not necessarily successively
It carries out, but can be at least part of the sub-step or stage of other steps or other steps in turn or alternately
It executes.
In one embodiment, as shown in figure 8, providing the device that a kind of user recommends, comprising: obtain module 802, the
One index module 804, the second index module 806, third index module 808, processing module 810 and pushing module 812, in which:
Module 802 is obtained, for obtaining the comprehensive of second user of the location information in the preset threshold range of the first user
Data are closed, integrated data includes voice recognition data, visual identity data and physiological activity data；
First index module 804, for determining second user according to preset big data sample database and voice recognition data
Relationship quantized value between user between the first user；
Second index module 806, for determining the Activity Index of second user according to visual identity data；
Third index module 808, for determining the physiological index of second user according to physiological activity data；
Processing module 810, for according to relationship quantized value, Activity Index, physiological index and preset index between user
Rule generates second user to the likability of the first user；
Pushing module 812, for pushing the user information of second user according to likability to the first user.
The device that above-mentioned user recommends obtains second user of the location information in the preset threshold range of the first user
Integrated data analyzes integrated data, determines second user according to preset big data sample database and voice recognition data
Relationship quantized value between user between the first user, the Activity Index of second user is determined according to visual identity data, according to
Physiological activity data determine the physiological index of second user, according to relationship quantized value between user, Activity Index, physiological index and
The preset rule of exponentials generates second user to the likability of the first user, is believed according to the user that likability pushes second user
Breath realizes the reasonable recommendation of friend-making person to the first user.
In one of the embodiments, as shown in figure 9, the first index module 804 includes speech recognition module 814, voice
Identification module 814 is used to voice recognition data being converted to text, according in the characters matching big data sample database after conversion
For the keyword of speech recognition, frequency of the statistics for occurring in the keyword text after conversion of speech recognition and secondary
Number determines the user between second user and the first user according to the frequency of the keyword appearance for speech recognition and number
Between relationship quantized value.
In one of the embodiments, as shown in figure 9, the second index module 806 includes visual identity module 816, vision
Identification module 816 is used for expression in the eyes data and face data according to visual identity data acquisition second user, according to expression in the eyes data
Expression in the eyes situation of change and the expression in the eyes residence time for determining second user, according to face data and preset ethnic group face database
The face situation of change for determining second user is determined according to expression in the eyes situation of change, expression in the eyes residence time and face situation of change
The Activity Index of second user.
In one of the embodiments, as shown in figure 9, third index module 808 includes physiology identification module 818, physiology
Identification module 818 is used for temperature data, oximetry data and heartbeat data according to physiological activity data acquisition second user, root
The Temperature changing situation that second user is determined according to temperature data determines the blood oxygen situation of change of second user according to oximetry data,
The heartbeat situation of change that second user is determined according to heartbeat data, according to Temperature changing situation, blood oxygen situation of change and heartbeat
Situation of change determines the physiological index of second user.
In one of the embodiments, as shown in figure 9, the device that user recommends includes recommending module 820, recommending module is used
In the historical viewings data for obtaining the first user, according to the historical viewings data of the first user, determine that the preference of the first user is special
Sign calculates the matching degree between the preference profiles in the preference profiles and preset preference profiles database of the first user, obtains
The third user of matching degree within a preset range, and push to the first user.
In one of the embodiments, as shown in figure 9, the device that user recommends includes the crucial type matrix for speech recognition
Block 822, the keyword module 822 for speech recognition are used to obtain the keyword for speech recognition, will be used for speech recognition
Keyword deposit big data sample database in.
The specific of device about user's recommendation limits the restriction that may refer to the method recommended above for user,
This is repeated no more.The modules in device that above-mentioned user recommends can come fully or partially through software, hardware and combinations thereof
It realizes.Above-mentioned each module can be embedded in the form of hardware or independently of in the processor in computer equipment, can also be with software
Form is stored in the memory in computer equipment, executes the corresponding operation of the above modules in order to which processor calls.
In one embodiment, a kind of computer equipment is provided, which can be server, internal junction
Composition can be as shown in Figure 10.The computer equipment include by system bus connect processor, memory, network interface and
Database.Wherein, the processor of the computer equipment is for providing calculating and control ability.The memory packet of the computer equipment
Include non-volatile memory medium, built-in storage.The non-volatile memory medium is stored with operating system, computer program and data
Library.The built-in storage provides environment for the operation of operating system and computer program in non-volatile memory medium.The calculating
The database of machine equipment is for storing integrated data.The network interface of the computer equipment is used to pass through network with external terminal
Connection communication.To realize a kind of method that user recommends when the computer program is executed by processor.
It will be understood by those skilled in the art that structure shown in Figure 10, only part relevant to application scheme
The block diagram of structure, does not constitute the restriction for the computer equipment being applied thereon to application scheme, and specific computer is set
Standby may include perhaps combining certain components or with different component layouts than more or fewer components as shown in the figure.
In one embodiment, a kind of computer equipment, including memory and processor are provided, which is stored with
Computer program, the processor perform the steps of when executing computer program
Obtain the integrated data of second user of the location information in the preset threshold range of the first user, integrated data packet
Include voice recognition data, visual identity data and physiological activity data；
The user between second user and the first user is determined according to preset big data sample database and voice recognition data
Between relationship quantized value；
The Activity Index of second user is determined according to visual identity data；
The physiological index of second user is determined according to physiological activity data；
According to relationship quantized value, Activity Index, physiological index and the preset rule of exponentials between user, second user is generated
To the likability of the first user；
According to the user information of likability push second user to the first user.
Method, apparatus, computer equipment and the storage medium that above-mentioned user recommends obtain location information the first user's
The integrated data of second user in preset threshold range, analyzes integrated data, according to preset big data sample database
And voice recognition data determines relationship quantized value between the user between second user and the first user, it is true according to visual identity data
The Activity Index for determining second user determines the physiological index of second user according to physiological activity data, according to relationship amount between user
Change value, Activity Index, physiological index and the preset rule of exponentials, generate second user to the likability of the first user, according to
Likability pushes the user information of second user to the first user, realizes the reasonable recommendation of friend-making person.
In one embodiment, it is also performed the steps of when processor executes computer program
Voice recognition data is converted into text；
According to the keyword for speech recognition in the characters matching big data sample database after conversion；
Statistics is used for the frequency occurred in the text of the keyword of speech recognition after conversion and number；
It is determined between second user and the first user according to the frequency of the keyword appearance for speech recognition and number
User between relationship quantized value.
In one embodiment, it is also performed the steps of when processor executes computer program
According to the expression in the eyes data and face data of visual identity data acquisition second user；
Expression in the eyes situation of change and the expression in the eyes residence time of second user are determined according to expression in the eyes data；
The face situation of change of second user is determined according to face data and preset ethnic group face database；
According to expression in the eyes situation of change, expression in the eyes residence time and face situation of change, the Activity Index of second user is determined.
In one embodiment, it is also performed the steps of when processor executes computer program
According to the temperature data, oximetry data and heartbeat data of physiological activity data acquisition second user；
The Temperature changing situation of second user is determined according to temperature data；
The blood oxygen situation of change of second user is determined according to oximetry data；
The heartbeat situation of change of second user is determined according to heartbeat data；
According to Temperature changing situation, blood oxygen situation of change and heartbeat situation of change, the physiological index of second user is determined.
In one embodiment, it is also performed the steps of when processor executes computer program
Obtain the historical viewings data of the first user；
According to the historical viewings data of the first user, the preference profiles of the first user are determined；
Calculate the matching degree between the preference profiles in the preference profiles and preset preference profiles database of the first user；
The third user of matching degree within a preset range is obtained, and pushes to the first user.
In one embodiment, it is also performed the steps of when processor executes computer program
Obtain the keyword for being used for speech recognition；
It will be used in the keyword deposit big data sample database of speech recognition.
In one embodiment, a kind of computer readable storage medium is provided, computer program is stored thereon with, is calculated
Machine program performs the steps of when being executed by processor
Obtain the integrated data of second user of the location information in the preset threshold range of the first user, integrated data packet
Include voice recognition data, visual identity data and physiological activity data；
The user between second user and the first user is determined according to preset big data sample database and voice recognition data
Between relationship quantized value；
The Activity Index of second user is determined according to visual identity data；
The physiological index of second user is determined according to physiological activity data；
According to relationship quantized value, Activity Index, physiological index and the preset rule of exponentials between user, second user is generated
To the likability of the first user；
According to the user information of likability push second user to the first user.
The storage medium that above-mentioned user recommends obtains second use of the location information in the preset threshold range of the first user
The integrated data at family, analyzes integrated data, determines second according to preset big data sample database and voice recognition data
Relationship quantized value between user between user and the first user, the Activity Index of second user is determined according to visual identity data,
The physiological index that second user is determined according to physiological activity data, according to relationship quantized value, Activity Index, physiological index between user
And the preset rule of exponentials, second user is generated to the likability of the first user, and the use of second user is pushed according to likability
Family information realizes the reasonable recommendation of friend-making person to the first user.
In one embodiment, it is also performed the steps of when computer program is executed by processor
Voice recognition data is converted into text；
According to the keyword for speech recognition in the characters matching big data sample database after conversion；
Statistics is used for the frequency occurred in the text of the keyword of speech recognition after conversion and number；
It is determined between second user and the first user according to the frequency of the keyword appearance for speech recognition and number
User between relationship quantized value.
In one embodiment, it is also performed the steps of when computer program is executed by processor
According to the expression in the eyes data and face data of visual identity data acquisition second user；
Expression in the eyes situation of change and the expression in the eyes residence time of second user are determined according to expression in the eyes data；
The face situation of change of second user is determined according to face data and preset ethnic group face database；
According to expression in the eyes situation of change, expression in the eyes residence time and face situation of change, the Activity Index of second user is determined.
In one embodiment, it is also performed the steps of when computer program is executed by processor
According to the temperature data, oximetry data and heartbeat data of physiological activity data acquisition second user；
The Temperature changing situation of second user is determined according to temperature data；
The blood oxygen situation of change of second user is determined according to oximetry data；
The heartbeat situation of change of second user is determined according to heartbeat data；
According to Temperature changing situation, blood oxygen situation of change and heartbeat situation of change, the physiological index of second user is determined.
In one embodiment, it is also performed the steps of when computer program is executed by processor
Obtain the historical viewings data of the first user；
According to the historical viewings data of the first user, the preference profiles of the first user are determined；
Calculate the matching degree between the preference profiles in the preference profiles and preset preference profiles database of the first user；
The third user of matching degree within a preset range is obtained, and pushes to the first user.
In one embodiment, it is also performed the steps of when computer program is executed by processor
Obtain the keyword for being used for speech recognition；
It will be used in the keyword deposit big data sample database of speech recognition.
Those of ordinary skill in the art will appreciate that realizing all or part of the process in above-described embodiment method, being can be with
Relevant hardware is instructed to complete by computer program, the computer program can be stored in a non-volatile computer
In read/write memory medium, the computer program is when being executed, it may include such as the process of the embodiment of above-mentioned each method.Wherein,
To any reference of memory, storage, database or other media used in each embodiment provided herein,
Including non-volatile and/or volatile memory.Nonvolatile memory may include read-only memory (ROM), programming ROM
(PROM), electrically programmable ROM (EPROM), electrically erasable ROM (EEPROM) or flash memory.Volatile memory may include
Random access memory (RAM) or external cache.By way of illustration and not limitation, RAM is available in many forms,
Such as static state RAM (SRAM), dynamic ram (DRAM), synchronous dram (SDRAM), double data rate sdram (DDRSDRAM), enhancing
Type SDRAM (ESDRAM), synchronization link (Synchlink) DRAM (SLDRAM), memory bus (Rambus) direct RAM
(RDRAM), direct memory bus dynamic ram (DRDRAM) and memory bus dynamic ram (RDRAM) etc..
Each technical characteristic of above embodiments can be combined arbitrarily, for simplicity of description, not to above-described embodiment
In each technical characteristic it is all possible combination be all described, as long as however, the combination of these technical characteristics be not present lance
Shield all should be considered as described in this specification.
The several embodiments of the application above described embodiment only expresses, the description thereof is more specific and detailed, but simultaneously
It cannot therefore be construed as limiting the scope of the patent.It should be pointed out that coming for those of ordinary skill in the art
It says, without departing from the concept of this application, various modifications and improvements can be made, these belong to the protection of the application
Range.Therefore, the scope of protection shall be subject to the appended claims for the application patent.
Claims (10)
1. a kind of method that user recommends, which is characterized in that the described method includes:
Obtain the integrated data of second user of the location information in the preset threshold range of the first user, the integrated data packet
Include voice recognition data, visual identity data and physiological activity data；
The user between second user and the first user is determined according to preset big data sample database and the voice recognition data
Between relationship quantized value；
The Activity Index of second user is determined according to the visual identity data；
The physiological index of second user is determined according to the physiological activity data；
According to relationship quantized value, the Activity Index, the physiological index and the preset rule of exponentials between the user, generate
Likability of the second user to the first user；
According to the user information of likability push second user to first user.
2. the method according to claim 1, wherein described according to preset big data sample database and the voice
Identification data determine relationship quantized value between the user between second user and the first user, comprising:
The voice recognition data is converted into text；
The keyword for speech recognition in the big data sample database according to the characters matching after conversion；
The frequency and number that the statistics keyword for speech recognition occurs in the text after the conversion；
The frequency and number occurred according to the keyword for speech recognition determines the second user and the first user
Between user between relationship quantized value.
3. the method according to claim 1, wherein described determine second user according to the visual identity data
Activity Index, comprising:
According to the expression in the eyes data and face data of the visual identity data acquisition second user；
Expression in the eyes situation of change and the expression in the eyes residence time of second user are determined according to the expression in the eyes data；
The face situation of change of second user is determined according to the face data and preset ethnic group face database；
According to the expression in the eyes situation of change, the expression in the eyes residence time and the face situation of change, determine that described second uses
The Activity Index at family.
4. the method according to claim 1, wherein described determine second user according to the physiological activity data
Physiological index, comprising:
According to temperature data, oximetry data and the heartbeat data of the physiological activity data acquisition second user；
The Temperature changing situation of second user is determined according to the temperature data；
The blood oxygen situation of change of second user is determined according to the oximetry data；
The heartbeat situation of change of second user is determined according to the heartbeat data；
According to the Temperature changing situation, the blood oxygen situation of change and the heartbeat situation of change, determine that described second uses
The physiological index at family.
5. the method according to claim 1, wherein believing in the user for pushing second user according to the likability
After breath to first user, comprising:
Obtain the historical viewings data of the first user；
According to the historical viewings data of first user, the preference profiles of the first user are determined；
Calculate the matching degree between the preference profiles in the preference profiles and preset preference profiles database of first user；
The third user of the matching degree within a preset range is obtained, and pushes to the first user.
6. the method according to claim 1, wherein in the location information that obtains in the default threshold of the first user
It is worth the integrated data of the second user in range, before, comprising:
Obtain the keyword for being used for speech recognition；
The keyword for being used for speech recognition is stored in the big data sample database.
7. the device that a kind of user recommends, which is characterized in that described device includes:
Module is obtained, for obtaining the integrated data of second user of the location information in the preset threshold range of the first user,
The integrated data includes voice recognition data, visual identity data and physiological activity data；
First index module, for determining second user and the according to preset big data sample database and the voice recognition data
Relationship quantized value between user between one user；
Second index module, for determining the Activity Index of second user according to the visual identity data；
Third index module, for determining the physiological index of second user according to the physiological activity data；
Processing module, for according to relationship quantized value between the user, the Activity Index, the physiological index and preset
The rule of exponentials generates second user to the likability of the first user；
Pushing module, for pushing the user information of second user according to the likability to first user.
8. device according to claim 7, which is characterized in that described device includes recommending module, and the recommending module is used
Determine that the first user's is inclined according to the historical viewings data of first user in the historical viewings data for obtaining the first user
Good feature calculates the matching between the preference profiles in the preference profiles and preset preference profiles database of first user
Degree, obtains the third user of the matching degree within a preset range, and push to the first user.
9. a kind of computer equipment, including memory and processor, the memory are stored with computer program, feature exists
In the step of processor realizes any one of claims 1 to 6 the method when executing the computer program.
10. a kind of computer readable storage medium, is stored thereon with computer program, which is characterized in that the computer program
The step of method described in any one of claims 1 to 6 is realized when being executed by processor.
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| CN201811119633.9A CN109408708A (en) | 2018-09-25 | 2018-09-25 | Method, apparatus, computer equipment and the storage medium that user recommends |
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