CN105243397A - User behavior information generation method and device - Google Patents
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- G06F18/2321—Non-hierarchical techniques using statistics or function optimisation, e.g. modelling of probability density functions
Abstract
The invention discloses a user behavior information generation method and device. An embodiment of the user behavior information generation method comprises the following steps: obtaining user locating information of users, wherein the user locating information comprises position information of locating points of the users and time information of the users staying at the locating points; dividing multiple pieces of user locating information into a plurality of user locating information sets on the basis of the position information and the time information; and generating user behavior information on the basis of analysis of the user locating information sets, wherein the user behavior information comprises at least one of user movement state information, user movement range information and user movement time information. Throughthe technical scheme in the embodiment, more visual and correct user behavior information is obtained, so that the behavior characteristics of the users can be known visually and correctly.
Description
Technical field
The application relates to field of computer technology, is specifically related to technical field of information processing, particularly relates to user behavior information generating method and device.
Background technology
At present, the behavioural information of the user that can get only comprises the locating information of user usually.Locating information is under space-time environment, by the data message obtained the location of user, comprises position location, positioning time etc.
But what above-mentioned locating information was corresponding is isolate one by one and the anchor point of substantial amounts; And these locating information are normally collected when user sends Location Request, and the Location Request of user is normally random and erratic.Therefore, by these locating information, the behavioural characteristic of user can not be understood intuitively, exactly, such as, the features such as the mobile status of user.
Summary of the invention
The object of the application is to propose a kind of user behavior information generating method and device, solves the technical matters that above background technology part is mentioned.
First aspect, this application provides a kind of user behavior information generating method, described method comprises: obtain user's locating information of user, and wherein, described user's locating information comprises the temporal information that the positional information of the anchor point residing for described user and described user stop at described anchor point; Many user's locating information are divided into the set of multiple user's locating information by position-based information and temporal information; Based on the analysis to the set of user's locating information, generate user behavior information, wherein, described user behavior information comprises following at least one item: user's mobile status information, user moving range information, user's traveling time information.
In certain embodiments, described based on the analysis to the set of user's locating information, generate user behavior information, comprising: according to the temporal information of the user's locating information in the set of described user's locating information, obtain the time interval that the set of described user's locating information is corresponding; According to described time interval, generate user's traveling time information, described user's traveling time information comprises: initial time, termination time.
In certain embodiments, described based on the analysis to the set of user's locating information, generate user behavior information and also comprise: according to the time span of described time interval, generate user's mobile status information.
In certain embodiments, the described time span according to described time interval, generates the mobile status information of user, comprising: based on comparing of described time span and predetermined time threshold value, generation user mobile status information.
In certain embodiments, described based on the analysis to the set of user's locating information, generate user behavior information, comprising: according to the positional information of the user's locating information in the set of described user's locating information, generate user moving range information.
In certain embodiments, described user moving range information comprises: center location information and mobile radius information, wherein, described center location information is the average of the positional information value of user's locating information in the set of described user's locating information, and described mobile radius information generates according to the positional information of the user's locating information in described customer center positional information and the set of described user's locating information.
Second aspect, this application provides a kind of user behavior information generation device, described device comprises: user's locating information acquiring unit, for obtaining user's locating information of user, wherein, described user's locating information comprises the temporal information that the positional information of the anchor point residing for described user and described user stop at described anchor point; Many user's locating information, for position-based information and temporal information, are divided into the set of multiple user's locating information by user's locating information set division unit; User behavior information generating unit, for based on the analysis to the set of user's locating information, generate user behavior information, wherein, described user behavior information comprises following at least one item: user's mobile status information, user moving range information, user's traveling time information.
In certain embodiments, described user behavior information generating unit comprises: time interval obtains subelement, for the temporal information according to the user's locating information in the set of described user's locating information, obtains the time interval that the set of described user's locating information is corresponding; User's traveling time information generates subelement, and for according to described time interval, generate user's traveling time information, described user's traveling time information comprises: initial time, termination time.
In certain embodiments, described user behavior information generating unit also comprises: user's mobile status information generates subelement, for the time span according to described time interval, generates user's mobile status information.
In certain embodiments, described user's mobile status information generates subelement and is configured for comparing based on described time span and predetermined time threshold value further, generation user mobile status information.
In certain embodiments, described user behavior information generating unit comprises: user moving range information generates subelement, for the positional information according to the user's locating information in the set of described user's locating information, generates user moving range information.
In certain embodiments, described user moving range information comprises: center location information and mobile radius information, wherein, described center location information is the average of the positional information value of user's locating information in the set of described user's locating information, and described mobile radius information generates according to the positional information of the user's locating information in described customer center positional information and the set of described user's locating information.
The user behavior information generating method that the application provides and device, by many user's locating information are divided into the set of multiple user's locating information, and based on the analysis to the set of user's locating information, generate user behavior information, obtain more intuitive and accurate user behavior information, thus the behavioural characteristic of user can be understood intuitively, exactly.
Accompanying drawing explanation
By reading the detailed description done non-limiting example done with reference to the following drawings, the other features, objects and advantages of the application will become more obvious:
Fig. 1 is the exemplary system architecture figure that the application can be applied to wherein;
Fig. 2 is the process flow diagram of an embodiment of user behavior information generating method according to the application;
Fig. 3 is the illustrative diagram of the user behavior information generated according to the user behavior information generating method of the application;
Fig. 4 is the structural representation of an embodiment of user behavior information generation device according to the application;
Fig. 5 is the structural representation of the computer system of the server be suitable for for realizing the embodiment of the present application.
Embodiment
Below in conjunction with drawings and Examples, the application is described in further detail.Be understandable that, specific embodiment described herein is only for explaining related invention, but not the restriction to this invention.It also should be noted that, for convenience of description, in accompanying drawing, illustrate only the part relevant to Invention.
It should be noted that, when not conflicting, the embodiment in the application and the feature in embodiment can combine mutually.Below with reference to the accompanying drawings and describe the application in detail in conjunction with the embodiments.
Fig. 1 shows the exemplary system architecture 100 can applying the user behavior information generating method of the application or the embodiment of user behavior information generation device.
As shown in Figure 1, system architecture 100 can comprise terminal device 101,102,103, network 104 and server 105.Network 104 is in order at terminal device 101, the medium providing communication link between 102,103 and server 105.Network 104 can comprise various connection type, such as wired, wireless communication link or fiber optic cables etc.
User can use terminal device 101,102,103 mutual by network 104 and server 105, to receive or to send message etc.Terminal device 101,102,103 can be provided with various client application, such as electronic chart application, the application of document management class, search class application, mailbox client, social platform software etc.
Terminal device 101,102,103 can be the various electronic equipments supporting electronic chart application, include but not limited to smart mobile phone, panel computer, GPS (GlobalPositioningSystem, GPS) equipment, vehicle intelligent terminal, pocket computer on knee and desk-top computer etc.
Server 105 can be to provide the server of various service, the database server such as provided support to the electronic chart application etc. on terminal device 101,102,103 or Cloud Server.The process such as server can store the data received, analysis.
It should be noted that, the user behavior information generating method that the embodiment of the present application provides can be performed separately by server 105 usually.Correspondingly, user behavior information generation device is arranged in server 105 usually.
Should be appreciated that, the number of the terminal device in Fig. 1, network and server is only schematic.According to realizing needs, the terminal device of arbitrary number, network and server can be had.
Continue the flow process 200 of the embodiment showing the user behavior information generating method according to the application with reference to figure 2, Fig. 2.
As shown in Figure 2, the user behavior information generating method of the present embodiment comprises the following steps:
Step 201, obtains user's locating information of user.
Wherein, above-mentioned user's locating information comprises the temporal information that the positional information of the anchor point residing for above-mentioned user and above-mentioned user stop at above-mentioned anchor point.
In the present embodiment, user behavior information generating method runs can by wired or wireless mode with the electronic equipment (server such as shown in Fig. 1) on it, when user uses positioning equipment (terminal device such as shown in Fig. 1) to send Location Request at every turn, obtain user's locating information of user.In addition, server can also obtain user's locating information of user from the storage medium of embodied on computer readable (such as database).Wherein, the user's locating information stored in the storage medium that above computer can read is collected in advance.
It is pointed out that above-mentioned radio connection can include but not limited to 3G/4G connection, WiFi connection, bluetooth connection, WiMAX connection, Zigbee connection, UWB (ultrawideband) connection and other radio connection developed known or future now.
Step 202, many user's locating information are divided into the set of multiple user's locating information by position-based information and temporal information.
In the present embodiment, server can according to the positional information of the user's locating information got and temporal information, and close together and/or the time interval shorter user's locating information are divided in the set of same user's locating information; Distant and/or that the time interval is longer user's locating information is divided in different user's locating information set.
In real world applications, can by the once activity of each user's locating information set respective user, such as, user has eaten a meal in certain mansion, then goes neighbouring coffee shop's respite.This process may collect a large amount of user's locating information, but the activity of user kernel only has two: have a meal in certain mansion, in coffee shop's respite.By this step, according to original user's locating information, the multiple user's locating information (locating information namely got in twice activity) in two user's locating information set (i.e. twice activity) and the set of two user's locating information can be marked off.
Step 203, based on the analysis to the set of user's locating information, generates user behavior information.
Wherein, above-mentioned user behavior information comprises following at least one item: user's mobile status information, user moving range information, user's traveling time information.
In the present embodiment, server according to the positional information of the user's locating information in the set of each user's locating information and temporal information, can generate user behavior information.Such as, determine according to the temporal information of the user's locating information in the set of user's locating information and generate user's traveling time information (such as: " on November 5th, 2015 ", " morning on November 5th, 2015 " etc. form information); Determine according to the positional information of the user's locating information in the set of each user's locating information and generate user moving range information (such as: the information of forms such as " in the rings of Beijing two "); According to the positional information of the user's locating information in the set of user's locating information, determine whether the position of user has variation or variation comparatively large, thus determine and generate user's mobile status information (such as: the information of the form such as " in mobile ", " static ").
It should be noted that, above-mentioned citing is just applicable to some examples of the present embodiment, and the implementation of the present embodiment is not limited to above-mentioned example.
In some optional implementations of the present embodiment, step 203 can comprise: according to the temporal information of the user's locating information in the set of above-mentioned user's locating information, obtains the time interval that the set of above-mentioned user's locating information is corresponding; According to above-mentioned time interval, generate user's traveling time information, above-mentioned user's traveling time information comprises: initial time, termination time.By this implementation, make user's traveling time information of generation more accurate.
In some optional implementations of the present embodiment, step 203 can also comprise: according to the time span of above-mentioned time interval, generates user's mobile status information.Particularly, server can comparing based on above-mentioned time span and predetermined time threshold value, generates user's mobile status information.Such as, if above-mentioned time span is greater than above-mentioned time threshold, then the user's mobile status information generated is " in mobile ", otherwise the mobile status information of the user generated is " static ".The reference factor that above-mentioned time span generates as user's mobile status information by this implementation, by generating user's mobile status information based on the length of time interval (i.e. once movable institute's time spent of user) corresponding to user's locating information set, make user's mobile status information of generating more accurate.
In some optional implementations of the present embodiment, step 203 can comprise: according to the positional information of the user's locating information in the set of above-mentioned user's locating information, generates user moving range information.Particularly, user moving range information can comprise: center location information and mobile radius information.Wherein, above-mentioned center location information is the average of the positional information value of user's locating information in the set of above-mentioned user's locating information, and above-mentioned mobile radius information generates according to the positional information of the user's locating information in above-mentioned customer center positional information and the set of above-mentioned user's locating information.
In some optional implementations of the present embodiment, step 202 can by carrying out following process to realize according to order positioning time to above-mentioned many user's locating information successively:
If active user's locating information is Article 1 user locating information, then increase one newly for representing the data of user's locating information set, by above-mentioned user's locating information and this data correlation; If active user's locating information is not Article 1 user locating information, then obtain the data associated by last user's locating information of active user's locating information, the user's locating information associated based on these data compares with active user's locating information, determines that whether above-mentioned user's locating information is independent of the above-mentioned locating information of associated user; If determine that above-mentioned user's locating information is independent of the above-mentioned locating information of associated user, then newly-increased new data, by above-mentioned user's locating information and above-mentioned new data correlation, otherwise by the data correlation associated by above-mentioned user's locating information and above-mentioned last user's locating information.
Wherein, the above-mentioned user's locating information associated based on these data compares with active user's locating information, determine whether above-mentioned user's locating information can comprise independent of the above-mentioned user's locating information associated: if the distance of the positional information of the active user's locating information center position corresponding with the above-mentioned user's locating information associated is more than or equal to predetermined distance threshold, or the difference between the location time information of the location time information of active user's locating information and above-mentioned last user's locating information is more than or equal to predetermined time threshold value, then determine that above-mentioned user's locating information is independent of the above-mentioned user's locating information associated, otherwise determine active user's locating information not independent of the above-mentioned user's locating information associated, wherein, above-mentioned center position value is the average of the positional information of the above-mentioned user's locating information associated.
By above-mentioned process, generate multiple data for representing the set of user's locating information, and each data are also associated with multiple user's locating information (representing the user's locating information included by the set of user's locating information).Like this, in step 203, just based on the analysis to above-mentioned data and associated user's locating information thereof, user behavior information can be generated.
On the basis of above-mentioned implementation, above-mentioned data can also comprise center location information.And above-mentioned process can also comprise: if active user's locating information is Article 1 user locating information, then, after newly-increased data, the center location information of these data is set to identical with the positional information of active user's locating information; If active user's locating information is not first user's locating information, and if determine that active user's locating information is independent of the above-mentioned user's locating information associated, then after newly-increased new data, the center location information of these new data is set to identical with the positional information of active user's locating information; And if determine active user's locating information not independent of the above-mentioned user's locating information associated, then the center location information of the data associated by the new above-mentioned last user's locating information of the updating location information of active user's locating information.Like this, in step 203, just can be obtained by the center location information reading above-mentioned data and generate the center location information in user moving range information.In addition, in real world applications, the address at this movable place of user can also be resolved according to above-mentioned center location information, will street name be converted into, cell name etc.
In addition, above-mentioned data can also comprise radius information.Correspondingly, above-mentioned process can also comprise: the positional information of the user's locating information associated by the center location information of above-mentioned data and above-mentioned data, obtains the radius information of above-mentioned data.Like this, in step 203, just can be obtained by the radius information reading above-mentioned data and generate the mobile radius information in user moving range information.
In addition, above-mentioned data can also comprise start time information and termination time information.Correspondingly, above-mentioned process can also comprise: if active user's locating information is first user's locating information, then, after newly-increased data, be set to by the start time information of these data identical with the temporal information of active user's locating information; If active user's locating information is not first user's locating information, and if determine that active user's locating information is independent of the above-mentioned user's locating information associated, then after newly-increased new data, the start time information of above-mentioned new data is set to identical with the temporal information of active user's locating information, and the termination time information of the data associated by above-mentioned last user's locating information is set to identical with the temporal information of above-mentioned last user's locating information.Like this, in step 203, just can be obtained by the start time information and termination time information reading above-mentioned data and the initial time generated in user's traveling time information and termination time.
By above-mentioned implementation, original huge mixed and disorderly user's locating information is converted into semanteme and the less above-mentioned data of data volume.Thus follow-up efficiency and the accuracy of carrying out further user behavior analysis (as cluster analysis) can be improved.
Continuing is the illustrative diagram of the user behavior information generated according to the user behavior information generating method of the present embodiment see Fig. 3, Fig. 3.According to the method for the present embodiment, based on the analysis to the set of user's locating information, after generating user behavior information, at least one of following information can be generated: user's mobile status information, user moving range information, user's traveling time information.To generate user moving range information and user's traveling time information, after the center location information in moving range information is resolved to address, user behavior information as shown in Figure 3 will be generated.
The user behavior information generating method that the present embodiment provides, by many user's locating information are divided into the set of multiple user's locating information, and based on the analysis to the set of user's locating information, generate user behavior information, obtain more intuitive and accurate user behavior information, thus the behavioural characteristic of user can be understood intuitively, exactly.
With further reference to Fig. 4, as the realization to method shown in above-mentioned each figure, this application provides an a kind of embodiment of user behavior information generation device, this device embodiment is corresponding with the embodiment of the method shown in Fig. 2, and this device specifically can be applied in server.
As shown in Figure 4, the user behavior information generation device 400 that the present embodiment is above-mentioned comprises: user's locating information acquiring unit 401, user's locating information set division unit 402 and user behavior information generating unit 403.Wherein, user's locating information acquiring unit 401 is for obtaining user's locating information of user, and wherein, above-mentioned user's locating information comprises the temporal information that the positional information of the anchor point residing for above-mentioned user and above-mentioned user stop at above-mentioned anchor point; Many user's locating information, for position-based information and temporal information, are divided into the set of multiple user's locating information by user's locating information set division unit 402; User behavior information generating unit 403 is for based on the analysis to the set of user's locating information, generate user behavior information, wherein, above-mentioned user behavior information comprises following at least one item: user's mobile status information, user moving range information, user's traveling time information.
In the present embodiment, the concrete process of user's locating information acquiring unit 401, user's locating information set division unit 402 and user behavior information generating unit 403 respectively with reference to the above-mentioned detailed description to step 201, step 202 and step 203 in the corresponding embodiment of Fig. 2, can not repeat them here.
In some optional implementations of the present embodiment, user behavior information generating unit 403 can comprise: time interval obtains subelement 4031, for the temporal information according to the user's locating information in the set of above-mentioned user's locating information, obtain the time interval that the set of above-mentioned user's locating information is corresponding; User's traveling time information generates subelement 4032, and for according to above-mentioned time interval, generate user's traveling time information, above-mentioned user's traveling time information comprises: initial time, termination time.By this implementation, make user's traveling time information of generation more accurate.
In some optional implementations of the present embodiment, user behavior information generating unit 403 can also comprise user's mobile status information and generate subelement 4033, for the time span according to above-mentioned time interval, generates user's mobile status information.Wherein, above-mentioned user's mobile status information generates subelement 4033 can be configured for comparing based on above-mentioned time span and predetermined time threshold value, generation user mobile status information further.The concrete process that user's mobile status information generates subelement 4033 and the technique effect brought thereof with reference to the above-mentioned detailed description to corresponding implementation in the corresponding embodiment of Fig. 2, can not repeat them here.
In some optional implementations of the present embodiment, user behavior information generating unit 403 can comprise user moving range information and generate subelement 4034, for the positional information according to the user's locating information in the set of above-mentioned user's locating information, generate user moving range information.Particularly, above-mentioned user moving range information can comprise: center location information and mobile radius information.Wherein, above-mentioned center location information is the average of the positional information value of user's locating information in the set of above-mentioned user's locating information, and above-mentioned mobile radius information generates according to the positional information of the user's locating information in above-mentioned customer center positional information and the set of above-mentioned user's locating information.The concrete process that user moving range information generates subelement 4034 and the technique effect brought thereof with reference to the above-mentioned detailed description to corresponding implementation in the corresponding embodiment of Fig. 2, can not repeat them here.
It will be understood by those skilled in the art that above-mentioned user behavior information generation device 400 also comprises some other known features, such as processor, storeies etc., in order to unnecessarily fuzzy embodiment of the present disclosure, these known structures are not shown in the diagram.
The user behavior information generation device that the present embodiment provides, by user's locating information set division unit 402, many user's locating information are divided into the set of multiple user's locating information, and by user behavior information generating unit 403 based on the analysis to the set of user's locating information, generate user behavior information, obtain more intuitive and accurate user behavior information, thus the behavioural characteristic of user can be understood intuitively, exactly.
Below with reference to Fig. 5, it illustrates the structural representation of the computer system 500 of the server be suitable for for realizing the embodiment of the present application.
As shown in Figure 5, computer system 500 comprises CPU (central processing unit) (CPU) 501, and it or can be loaded into the program random access storage device (RAM) 503 from storage area 508 and perform various suitable action and process according to the program be stored in ROM (read-only memory) (ROM) 502.In RAM503, also store system 500 and operate required various program and data.CPU501, ROM502 and RAM503 are connected with each other by bus 504.I/O (I/O) interface 505 is also connected to bus 504.
I/O interface 505 is connected to: the importation 506 comprising keyboard, mouse etc. with lower component; Comprise the output 507 of such as cathode-ray tube (CRT) (CRT), liquid crystal display (LCD) etc. and loudspeaker etc.; Comprise the storage area 508 of hard disk etc.; And comprise the communications portion 509 of network interface unit of such as LAN card, modulator-demodular unit etc.Communications portion 509 is via the network executive communication process of such as the Internet.Driver 510 is also connected to I/O interface 505 as required.Detachable media 511, such as disk, CD, magneto-optic disk, semiconductor memory etc., be arranged on driver 510 as required, so that the computer program read from it is mounted into storage area 508 as required.
Especially, according to embodiment of the present disclosure, the process that reference flow sheet describes above may be implemented as computer software programs.Such as, embodiment of the present disclosure comprises a kind of computer program, and it comprises the computer program visibly comprised on a machine-readable medium, and described computer program comprises the program code for the method shown in flowchart.In such embodiments, this computer program can be downloaded and installed from network by communications portion 509, and/or is mounted from detachable media 511.
Process flow diagram in accompanying drawing and block diagram, illustrate according to the architectural framework in the cards of the system of the various embodiment of the application, method and computer program product, function and operation.In this, each square frame in process flow diagram or block diagram can represent a part for module, program segment or a code, and a part for described module, program segment or code comprises one or more executable instruction for realizing the logic function specified.Also it should be noted that at some as in the realization of replacing, the function marked in square frame also can be different from occurring in sequence of marking in accompanying drawing.Such as, in fact the square frame that two adjoining lands represent can perform substantially concurrently, and they also can perform by contrary order sometimes, and this determines according to involved function.Also it should be noted that, the combination of the square frame in each square frame in block diagram and/or process flow diagram and block diagram and/or process flow diagram, can realize by the special hardware based system of the function put rules into practice or operation, or can realize with the combination of specialized hardware and computer instruction.
Be described in unit involved in the embodiment of the present application to be realized by the mode of software, also can be realized by the mode of hardware.Described unit also can be arranged within a processor, such as, can be described as: a kind of processor comprises user's locating information acquiring unit, user's locating information set division unit and user behavior information generating unit.Wherein, the title of these unit does not form the restriction to this unit itself under certain conditions, and such as, user behavior information generating unit can also be described to " generating the unit of user behavior information ".
As another aspect, present invention also provides a kind of non-volatile computer storage medium, this non-volatile computer storage medium can be the non-volatile computer storage medium comprised in device described in above-described embodiment; Also can be individualism, be unkitted the non-volatile computer storage medium allocated in terminal.Above-mentioned non-volatile computer storage medium stores one or more program, when one or more program described is performed by an equipment, make described equipment: the user's locating information obtaining user, wherein, described user's locating information comprises the temporal information that the positional information of the anchor point residing for described user and described user stop at described anchor point; Many user's locating information are divided into the set of multiple user's locating information by position-based information and temporal information; Based on the analysis to the set of user's locating information, generate user behavior information, wherein, described user behavior information comprises following at least one item: user's mobile status information, user moving range information, user's traveling time information.
More than describe and be only the preferred embodiment of the application and the explanation to institute's application technology principle.Those skilled in the art are to be understood that, invention scope involved in the application, be not limited to the technical scheme of the particular combination of above-mentioned technical characteristic, also should be encompassed in when not departing from described inventive concept, other technical scheme of being carried out combination in any by above-mentioned technical characteristic or its equivalent feature and being formed simultaneously.The technical characteristic that such as, disclosed in above-mentioned feature and the application (but being not limited to) has similar functions is replaced mutually and the technical scheme formed.
Claims (12)
1. a user behavior information generating method, is characterized in that, described method comprises:
Obtain user's locating information of user, wherein, described user's locating information comprises the temporal information that the positional information of the anchor point residing for described user and described user stop at described anchor point;
Many user's locating information are divided into the set of multiple user's locating information by position-based information and temporal information;
Based on the analysis to the set of user's locating information, generate user behavior information, wherein, described user behavior information comprises following at least one item: user's mobile status information, user moving range information, user's traveling time information.
2. method according to claim 1, is characterized in that, described based on the analysis to the set of user's locating information, generates user behavior information, comprising:
According to the temporal information of the user's locating information in the set of described user's locating information, obtain the time interval that the set of described user's locating information is corresponding;
According to described time interval, generate user's traveling time information, described user's traveling time information comprises: initial time, termination time.
3. method according to claim 2, is characterized in that, described based on the analysis to the set of user's locating information, generates user behavior information and also comprises:
According to the time span of described time interval, generate user's mobile status information.
4. method according to claim 3, is characterized in that, the described time span according to described time interval, generates the mobile status information of user, comprising:
Based on comparing of described time span and predetermined time threshold value, generate user's mobile status information.
5. method according to claim 1, is characterized in that, described based on the analysis to the set of user's locating information, generates user behavior information, comprising:
According to the positional information of the user's locating information in the set of described user's locating information, generate user moving range information.
6. method according to claim 5, it is characterized in that, described user moving range information comprises: center location information and mobile radius information, wherein, described center location information is the average of the positional information value of user's locating information in the set of described user's locating information, and described mobile radius information generates according to the positional information of the user's locating information in described customer center positional information and the set of described user's locating information.
7. a user behavior information generation device, is characterized in that, described device comprises:
User's locating information acquiring unit, for obtaining user's locating information of user, wherein, described user's locating information comprises the temporal information that the positional information of the anchor point residing for described user and described user stop at described anchor point;
Many user's locating information, for position-based information and temporal information, are divided into the set of multiple user's locating information by user's locating information set division unit;
User behavior information generating unit, for based on the analysis to the set of user's locating information, generate user behavior information, wherein, described user behavior information comprises following at least one item: user's mobile status information, user moving range information, user's traveling time information.
8. device according to claim 7, is characterized in that, described user behavior information generating unit comprises:
Time interval obtains subelement, for the temporal information according to the user's locating information in the set of described user's locating information, obtains the time interval that the set of described user's locating information is corresponding;
User's traveling time information generates subelement, and for according to described time interval, generate user's traveling time information, described user's traveling time information comprises: initial time, termination time.
9. device according to claim 8, is characterized in that, described user behavior information generating unit also comprises:
User's mobile status information generates subelement, for the time span according to described time interval, generates user's mobile status information.
10. device according to claim 9, is characterized in that, described user's mobile status information generates subelement and is configured for comparing based on described time span and predetermined time threshold value further, generation user mobile status information.
11. devices according to claim 7, is characterized in that, described user behavior information generating unit comprises:
User moving range information generates subelement, for the positional information according to the user's locating information in the set of described user's locating information, generates user moving range information.
12. devices according to claim 11, it is characterized in that, described user moving range information comprises: center location information and mobile radius information, wherein, described center location information is the average of the positional information value of user's locating information in the set of described user's locating information, and described mobile radius information generates according to the positional information of the user's locating information in described customer center positional information and the set of described user's locating information.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201510752430.3A CN105243397A (en) | 2015-11-06 | 2015-11-06 | User behavior information generation method and device |
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| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106909612A (en) * | 2017-01-11 | 2017-06-30 | 浙江宇视科技有限公司 | A kind for the treatment of method and apparatus of following behavior data |
Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103227821A (en) * | 2013-04-03 | 2013-07-31 | 腾讯科技（深圳）有限公司 | Method and device for processing position data of target user |
| CN104159189A (en) * | 2013-05-15 | 2014-11-19 | 同济大学 | Resident trip information obtaining method based on intelligent mobile phone |
| CN104811899A (en) * | 2014-01-23 | 2015-07-29 | 腾讯科技（深圳）有限公司 | Method and device for determining motion range of user and terminal equipment |
| CN104933710A (en) * | 2015-06-10 | 2015-09-23 | 华南理工大学 | Intelligent analysis method of store people stream track on the basis of surveillance video |
-
2015
- 2015-11-06 CN CN201510752430.3A patent/CN105243397A/en active Pending
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103227821A (en) * | 2013-04-03 | 2013-07-31 | 腾讯科技（深圳）有限公司 | Method and device for processing position data of target user |
| CN104159189A (en) * | 2013-05-15 | 2014-11-19 | 同济大学 | Resident trip information obtaining method based on intelligent mobile phone |
| CN104811899A (en) * | 2014-01-23 | 2015-07-29 | 腾讯科技（深圳）有限公司 | Method and device for determining motion range of user and terminal equipment |
| CN104933710A (en) * | 2015-06-10 | 2015-09-23 | 华南理工大学 | Intelligent analysis method of store people stream track on the basis of surveillance video |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106909612A (en) * | 2017-01-11 | 2017-06-30 | 浙江宇视科技有限公司 | A kind for the treatment of method and apparatus of following behavior data |
| CN106909612B (en) * | 2017-01-11 | 2020-12-29 | 浙江宇视科技有限公司 | Method and device for processing following behavior data |
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