CN111460075A - Behavior track determination method, behavior track determination device, behavior track determination equipment and readable storage medium - Google Patents
Behavior track determination method, behavior track determination device, behavior track determination equipment and readable storage medium Download PDFInfo
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Abstract
The invention discloses a method, a device, equipment and a readable storage medium for determining a behavior track, wherein the method comprises the following steps: acquiring behavior data acquired by each terminal device and acquiring device data of each terminal device; establishing an association relation between the behavior data and the equipment data to obtain association data; performing data cleaning operation on the associated data to obtain target behavior data of the target user, which is acquired by each terminal device; and merging the target behavior data, and determining the behavior track of the target user according to the merged target behavior data. The invention realizes the data linkage among the data collected by different terminal devices and improves the efficiency of determining the behavior track of the user in a specific space.
Description
Technical Field
The present invention relates to the field of data processing technologies, and in particular, to a method, an apparatus, a device, and a readable storage medium for determining a behavior trajectory.
Background
Human activities in a space (e.g., a shopping mall) generate a large amount of activity information, which often occurs in heterogeneous business systems, such as when a user approaches a security camera, the user connects to Wi-Fi with a mobile phone, the user uses a map for navigation, the user scans a code to participate in the activity, and the like. And each service system cannot completely acquire complete information of each user, for example, the service system corresponding to the security camera only acquires face images of the user, and the service system corresponding to the Wi-Fi only acquires equipment information of the mobile phone of the user. Further, since the service systems are heterogeneous, behavior data acquired by each service system corresponding to the terminal device is heterogeneous, it is difficult to have a clear logic to combine the behavior data acquired by each terminal device, which results in dispersion of behavior data, and behavior tracks of users cannot be obtained according to behavior data acquired by different terminal devices.
Disclosure of Invention
The invention mainly aims to provide a method, a device, equipment and a readable storage medium for determining a behavior track, and aims to solve the technical problem of how to obtain the behavior track of a user according to behavior data acquired by different terminal equipment.
In order to achieve the above object, the present invention provides a method for determining a behavior trace, including:
acquiring behavior data acquired by each terminal device and acquiring device data of each terminal device;
establishing an association relation between the behavior data and the equipment data to obtain association data;
performing data cleaning operation on the associated data to obtain target behavior data of the target user, which is acquired by each terminal device;
and merging the target behavior data, and determining the behavior track of the target user according to the merged target behavior data.
Optionally, the step of performing a data cleaning operation on the associated data to obtain target behavior data of the target user, which is acquired by each terminal device, includes:
and performing data cleaning operation on the associated data in a time dimension and a space dimension to obtain target behavior data of the target user, which is acquired by each terminal device.
Optionally, the step of performing a data cleaning operation on the associated data in a time dimension and a space dimension to obtain target behavior data of the target user, which is acquired by each terminal device, includes:
determining the collection range of behavior data collected by each terminal device according to the device data, and obtaining the collection time in each behavior data;
and acquiring intersection of the associated data corresponding to the same space and the same time based on the acquisition range and the acquisition time to obtain target behavior data of the target user acquired by each terminal device.
Optionally, the step of merging the target behavior data, and determining the behavior trajectory of the target user according to the merged target behavior data includes:
determining target acquisition time corresponding to each target behavior data;
and merging the target behavior data from front to back according to the target acquisition time, and determining the behavior track of the target user according to the merged target behavior data.
Optionally, the step of establishing an association relationship between the behavior data and the device data to obtain association data includes:
and determining the terminal equipment for acquiring the behavior data, and associating the behavior data with the equipment data of the terminal equipment for acquiring the behavior data to obtain associated data, wherein the associated data at least comprises acquisition time of the behavior data, user information of a user corresponding to the behavior data, equipment information of the terminal equipment and position information of the terminal equipment.
Optionally, before the steps of obtaining the behavior data collected by each terminal device and obtaining the device data of each terminal device, the method further includes:
dividing the space where each terminal device is located according to a preset division rule to obtain the space corresponding to each terminal device;
and associating the equipment information of each terminal equipment with the space information of the corresponding space of each terminal equipment to obtain the equipment data of each terminal equipment.
Optionally, after the step of merging the target behavior data and determining the behavior trajectory of the target user according to the merged target behavior data, the method further includes:
adding category labels to corresponding target users according to the behavior tracks;
and acquiring the information to be pushed corresponding to the category label, and sending the information to be pushed to target equipment of a target user corresponding to the category label so that the target equipment can output the information to be pushed.
In addition, to achieve the above object, the present invention provides a behavior trace determining apparatus, including:
the acquisition module is used for acquiring the behavior data acquired by each terminal device and acquiring the device data of each terminal device;
the establishing module is used for establishing an association relationship between the behavior data and the equipment data to obtain association data;
the data cleaning module is used for performing data cleaning operation on the associated data to obtain target behavior data of the target user, which is acquired by each terminal device;
and the determining module is used for merging the target behavior data and determining the behavior track of the target user according to the merged target behavior data.
In addition, in order to achieve the above object, the present invention further provides a behavior trace determining device, which includes a memory, a processor, and a behavior trace determining program stored in the memory and executable on the processor, and when the behavior trace determining program is executed by the processor, the method for determining a behavior trace according to the federal learning server is implemented.
Further, to achieve the above object, the present invention also provides a computer-readable storage medium having stored thereon a behavior trace determination program that, when executed by a processor, implements the steps of the behavior trace determination method as described above.
The method comprises the steps of acquiring behavior data acquired by each terminal device, acquiring device data of each terminal device, and establishing an association relation between the behavior data and the device data to obtain association data; and performing data cleaning operation on the associated data to obtain target behavior data of the target user, which is acquired by each terminal device, and determining a behavior track of the target user according to the combined target behavior data. The behavior data acquired by the heterogeneous terminal equipment is subjected to correlation analysis, namely the behavior data acquired by different terminal equipment in the same space is subjected to correlation analysis, so that the behavior track of the user in the corresponding space of the terminal equipment is determined, the data linkage among the data acquired by different terminal equipment is realized, and the efficiency of determining the behavior track of the user in the specific space is improved (under the normal condition, the behavior track of the user in the specific space is difficult to systematically acquire).
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FIG. 1 is a schematic flow chart diagram illustrating a first embodiment of a behavior trace determination method according to the present invention;
FIG. 2 is a flowchart illustrating a second embodiment of the behavior trace determination method according to the present invention;
FIG. 3 is a flow chart illustrating a third embodiment of the behavior trace determination method according to the present invention;
fig. 4 is a schematic structural diagram of a hardware operating environment according to an embodiment of the present invention.
The implementation, functional features and advantages of the objects of the present invention will be further explained with reference to the accompanying drawings.
Detailed Description
It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.
The invention provides a method for determining a behavior track, and referring to fig. 1, fig. 1 is a schematic flow chart of a first embodiment of the method for determining the behavior track.
While a logical order is shown in the flow chart, in some cases, the steps shown or described may be performed in an order different than that shown.
The method for determining the behavior trace is applied to a server or a terminal, and the terminal may include a mobile terminal such as a mobile phone, a tablet computer, a notebook computer, a palm computer, a Personal Digital Assistant (PDA), and the like, and a fixed terminal such as a Digital TV, a desktop computer, and the like. In various embodiments of the method for determining a behavior trace, for convenience of description, an execution subject is omitted to explain the various embodiments.
The method for determining the behavior track comprises the following steps:
step S10, acquiring behavior data collected by each terminal device, and acquiring device data of each terminal device.
For ease of understanding, an application scenario of the embodiments of the present invention is described. In this embodiment, a plurality of terminal devices exist in a space, such as a shopping mall or an office building, the plurality of terminal devices may belong to the same type of terminal device, or belong to different types of terminal devices, for example, the terminal devices are cameras, Wi-Fi transmitters, two-dimensional code devices, and the like, it should be noted that the two-dimensional code devices are used for displaying two-dimensional code images, so that a user can scan the two-dimensional code images, and each two-dimensional code device can display at least one two-dimensional code image.
The behavior data acquired by each terminal device is acquired, where the behavior data includes, but is not limited to, user information allocated to different users by the terminal device when acquiring the behavior data and acquisition time for acquiring the behavior data, it should be noted that the user information in the behavior data acquired by different terminal devices may be different or the same, and the user information may be used as a user identifier of a user corresponding to the terminal device. If the behavioral data may be: 12:00 (acquisition time) -portrait 1 (user information), 12:01 (acquisition time) -portrait 2 (user information), 12:00 (acquisition time) -WeChat user 1 (user information), 12:12 (acquisition time) -WeChat user 1 (user information), and the like.
The method comprises the steps of obtaining equipment data of each terminal device, wherein the equipment data comprise but are not limited to equipment information and position information, such as an A camera (equipment information) -a market layer passageway (position information), a B camera (equipment information) -a market layer east side channel (position information), an A activity two-dimensional code (equipment information) -a market layer passageway (position information), and a B activity two-dimensional code (equipment information) -a market layer east side channel (position information). Therefore, the device information can be the device name of the terminal device, and can also be the name of the information generated by the terminal device, such as the a active two-dimensional code. The location information may be determined by the terminal device's spatial data, including but not limited to the terminal device's latitude and longitude, and altitude. In this embodiment, the height calculation reference may be set according to specific needs, and the height calculation reference in this embodiment is not particularly limited, for example, the height may be calculated starting with the first floor of a certain shopping mall as the height calculation reference, or the height may be calculated starting with the negative floor of the certain shopping mall as the height calculation reference.
Step S20, establishing an association relationship between the behavior data and the device data to obtain association data.
And after the behavior data and the equipment data are obtained, establishing an association relation between the behavior data and the equipment data to obtain association data. It will be appreciated that the association data includes behavioral data and device data.
Further, step S20 includes:
step a, determining the terminal equipment for acquiring the behavior data, and associating the behavior data with the equipment data of the terminal equipment for acquiring the behavior data to obtain associated data, wherein the associated data at least comprises acquisition time of the behavior data, user information of a user corresponding to the behavior data, equipment information of the terminal equipment and position information of the terminal equipment.
Specifically, the terminal device for acquiring the behavior data is determined as the target terminal device, and the behavior data is associated with the device data of the target terminal device to obtain associated data. It can be understood that the associated data at least includes the collection time of the behavior data, the behavior data corresponds to the user information of the user, that is, the user information allocated to the user by the terminal device, and the device information of the behavior terminal device and the location information of the terminal device are collected. Furthermore, the associated data may further include a sequence identifier, where the sequence identifier is added to the associated data from front to back according to the sequence of the acquisition time, and the number of the obtained associated data is also quickly determined by the sequence identifier. If there are 5 pieces of associated data in total in the a camera, the sequential identification of the 5 pieces of associated data can be represented as a1, a2, A3, a4 and a 5.
If the associated data can be expressed as: 12:00 (acquisition time), portrait 1 (user information), camera A (equipment information), entrance and exit on the first layer of the market (position information), 12: 01-portrait 2-camera A, entrance and exit on the first layer of the market, 12: 10-portrait 1-B camera, east channel on the first layer of the market, 12: 12-portrait 1-B camera, east channel on the first layer of the market, the system comprises a mobile terminal, a mobile user 1-A activity two-dimensional code, a mall one-layer entrance and exit, a mobile terminal, a mobile phone and a mobile phone, wherein the mobile terminal is connected with the mobile terminal through a mobile phone, the mobile terminal is connected with the mobile terminal through a mobile phone line, the mobile terminal is connected.
And step S30, performing data cleaning operation on the associated data to obtain target behavior data of the target user, which is acquired by each terminal device.
And after the associated data are determined, performing data cleaning operation on the associated data to obtain target behavior data of the target user, which are acquired by each terminal device. It should be noted that the target behavior data collected by each terminal device may be of one target user or of multiple target users. At least two target behavior data exist for a target user.
Further, step S30 includes:
and b, performing data cleaning operation on the associated data in a time dimension and a space dimension to obtain target behavior data of the target user, which is acquired by each terminal device.
Specifically, after the associated data are determined, the associated data are subjected to data cleaning operation in the time dimension and the space dimension, and target behavior data of the target user, which are acquired by each terminal device, are obtained. And performing data cleaning operation on the associated data through the time dimension and the space dimension to obtain all target behavior data corresponding to the target user.
Further, step b comprises:
step b1, determining the collection range of the behavior data collected by each terminal device according to the device data, and obtaining the collection time in each behavior data.
Further, the acquisition range of the behavior data acquired by each terminal device is determined according to the device data, wherein the acquisition range may be pre-stored, and each terminal device has a corresponding device identifier. Further, the acquisition range may be determined according to the device type and the spatial data of the terminal device when needed, at this time, a mapping relationship between the spatial data and the acquisition range is predetermined in different terminal device types, and after the device type of the terminal device is determined, the corresponding acquisition range may be determined according to the spatial data and the mapping relationship of the terminal device. In this embodiment, the position information of the terminal device may also be used as the collection range of the behavior data collected by the terminal device. And acquiring the acquisition time in each behavior data.
And b2, based on the acquisition range and the acquisition time, taking intersection of the associated data corresponding to the same space and the same time to obtain the target behavior data of the target user acquired by each terminal device.
And after the acquisition range and the acquisition time are determined, based on the acquisition range and the acquisition time, taking intersection of the associated data corresponding to the same space and the same time to obtain the target behavior data of the target user acquired by each terminal device. It should be noted that, in this embodiment, the same space is a space within a certain range, for example, the same space may be set as a space within a range of 1 square meter, or the same space may be set as a space within a range of 1.5 square meters; the same time is also a time within a certain time range, for example, the time may be set to be 5 seconds or 1 minute, and the size of the space corresponding to the same space and the size of the time corresponding to the same time are not specifically limited in this embodiment. It can be understood that, in the process of taking intersection from the associated data corresponding to the same space and the same time, only intersection from the associated data corresponding to different terminal devices is taken, and therefore, only by taking intersection from the associated data corresponding to different terminal devices, the behavior trajectory of the corresponding user can be determined according to the obtained target behavior data.
As in the above-described associated data, it may be determined that intersection 1 of the associated data is: 12: 00-portrait 1-A camera-one-layer outlet and entrance of the market (associated data 1), 12: 01-WeChat user 2-A activity two-dimensional code-one-layer outlet and entrance of the market (associated data 2); intersection 2 is: 12: 12-portrait 1-B camera-mall one-level east channel (associated data 3) and 12: 12-WeChat user 1-B activity two-dimensional code-mall one-level east channel (associated data 4). The intersection 1 shows that the corresponding position information of the associated data 1 and the associated data 2 is the same, namely the associated data and the associated data belong to the same space; the acquisition time corresponding to the associated data 1 and the associated data 2 is very close, that is, the associated data belong to the same time, and therefore, the associated data in the intersection 1 are highly likely to belong to the same user. Further, since the portrait in intersection 1 is the same as that in intersection 2, it may be determined that the associated data of intersection 1 and intersection 2 is the behavior data of the same user.
It can be understood that intersection data corresponding to the same space and the same time is obtained after intersection is taken from associated data corresponding to the same space and the same time, intersection data belonging to the same user in the intersection data is determined according to user information corresponding to different intersection data, the intersection data belonging to the same user is target behavior data of a corresponding target user, and therefore target behavior data of the target user collected by each terminal device is obtained.
And step S40, merging the target behavior data, and determining the behavior track of the target user according to the merged target behavior data.
And after the target behavior data is obtained, merging the target behavior data corresponding to the same target user to obtain merged target behavior data, namely behavior metadata of the target user, and determining a behavior track of the target user according to the merged target behavior data.
Further, step S40 includes:
and c, determining target acquisition time corresponding to each target behavior data.
And d, merging the target behavior data from front to back according to the target acquisition time, and determining the behavior track of the target user according to the merged target behavior data.
Specifically, after the target behavior data of the target user is obtained, the acquisition time corresponding to each item target behavior data corresponding to the target user is determined, and the acquisition time corresponding to each item target behavior data is determined as the target acquisition time. It is understood that there are at least two pieces of target behavior data per target user. After the target acquisition time corresponding to each item of target behavior data is determined, merging the target behavior data from front to back according to the target acquisition time to obtain merged target behavior data, wherein it can be understood that the behavior track of the target user is obtained from the merged target behavior data.
As described in the above example, the intersection 1 and the intersection 2 are target behavior data corresponding to the target user, so that the behavior trajectory of the target user is obtained as follows: at 12:00, the user enters the entrance of the first floor of the mall, scans the A activity two-dimensional code of the entrance of the first floor of the mall at 12:01, enters the east channel of the first floor of the mall at 12:12, and scans the B activity two-dimensional code of the east channel of the first floor of the mall.
In the embodiment, association data is obtained by acquiring behavior data acquired by each terminal device, acquiring device data of each terminal device, and establishing association between the behavior data and the device data; and performing data cleaning operation on the associated data to obtain target behavior data of the target user, which is acquired by each terminal device, and determining a behavior track of the target user according to the combined target behavior data. The behavior data acquired by the heterogeneous terminal equipment is subjected to correlation analysis, namely the behavior data acquired by different terminal equipment in the same space is subjected to correlation analysis, so that the behavior track of the user in the corresponding space of the terminal equipment is determined, the data linkage among the data acquired by different terminal equipment is realized, and the efficiency of determining the behavior track of the user in the specific space is improved (under the normal condition, the behavior track of the user in the specific space is difficult to systematically acquire).
Further, a second embodiment of the method for determining a behavior trace of the present invention is provided. The second embodiment of the method for determining a behavior trace differs from the first embodiment of the method for determining a behavior trace in that, referring to fig. 2, the method for determining a behavior trace further includes:
and step S50, dividing the space where each terminal device is located according to a preset division rule to obtain the space corresponding to each terminal device.
And when the space of each terminal device is determined, dividing the space of each terminal device according to a preset division rule to obtain the space corresponding to each terminal device. The dividing rule can be set according to specific needs, specifically, the dividing can be performed according to the position information of the terminal device in the space, for example, according to the position information in the camera space, a corresponding space is divided for each camera, and if the camera A is at a certain position of an entrance of a first floor of a market, the space corresponding to the camera can be determined to be the entrance of the first floor of the market; furthermore, also can divide according to terminal equipment's positional information and collection scope, if a certain camera is in market one deck east side passageway, and the collection scope of this camera is for using the camera position as the centre of a circle, and the radius is the scope of 1 meter, then can confirm that the space that this camera corresponds is market one deck east side passageway, uses its position as the centre of a circle, the area that radius one meter corresponds.
Step S60 is to associate the device information of each terminal device with the spatial information of the space corresponding to each terminal device, and obtain device data of each terminal device.
And after the space corresponding to each terminal device is determined, associating the device information of each terminal device with the space information of the space corresponding to each terminal device to obtain the device data of each terminal device, wherein the device data of the terminal device is the data obtained by associating the device information with the space information. It should be noted that the device information corresponding to different types of terminal devices is different, and if the terminal device is a camera, the device information may be a device name, a device model, and the like; when the terminal device is a two-dimensional code device, the device information may be a name of a two-dimensional code image and a type of the two-dimensional code image output by the two-dimensional code device (e.g., a black-and-white two-dimensional code or a color two-dimensional code). The spatial information is used for representing the position of the terminal equipment in the current space, such as 'entrance and exit at one floor of a shopping mall', east channel at one floor of the shopping mall and the like. It is understood that the spatial information may also be determined by the corresponding spatial data of the terminal device.
In this embodiment, the device data of each terminal device is obtained by associating the device information of the terminal device with the corresponding spatial information, so as to quickly determine associated data through the device data of the terminal device.
Further, a third embodiment of the method for determining a behavior trace of the present invention is provided. The third embodiment of the method for determining a behavior trace differs from the first and/or second embodiment of the method for determining a behavior trace in that, referring to fig. 3, the method for determining a behavior trace further includes:
and step S70, adding category labels for the corresponding target users according to the behavior tracks.
After the behavior track of the target user is determined, a category tag is added to the corresponding target user according to the behavior track, and in this embodiment, the expression form of the category tag is not limited. If the behavior track of a certain target user indicates that the target user enters the parking lot for multiple times, determining that the target user belongs to a user with a vehicle, and adding a category label of 'vehicle presence' to the target user; if the behavior track of a certain target user indicates that the target user scans the two-dimensional code of the child out-of-class tutoring mechanism and enters a child clothing store, the target user can be determined to be a user with children, and a category label of 'children' is added to the target user.
Step S80, obtaining information to be pushed corresponding to the category label, and sending the information to be pushed to a target device of a target user corresponding to the category label, so that the target device outputs the information to be pushed.
And after the category label is added to the target user, acquiring the information to be pushed corresponding to the category label, and sending the information to be pushed to the target equipment of the target user corresponding to the category label. And after the target equipment receives the information to be pushed, the target equipment outputs the information to be pushed in a screen of the target equipment so as to be checked by a corresponding target user. It should be noted that the information to be pushed corresponding to different types of tags is different, and the information to be pushed corresponding to the same type of tag may be the same or different in different spaces. The information to be pushed corresponding to the category labels is preset, and each category label can correspond to a plurality of target users. If the target user with the vehicle is available, information related to vehicle maintenance can be pushed; for the user with children, the preferential information of the educational institution can be pushed to the target user. It can be understood that the information to be pushed corresponding to the category label may be updated along with the merchant preference information of the space where each terminal device is located.
According to the information pushing method and device, the category label is added to the user according to the behavior track of the user, and information is pushed according to the category label, so that the accuracy of information pushing is improved.
In addition, the present invention also provides a behavior trace determining apparatus, including:
the acquisition module is used for acquiring the behavior data acquired by each terminal device and acquiring the device data of each terminal device;
the establishing module is used for establishing an association relationship between the behavior data and the equipment data to obtain association data;
the data cleaning module is used for performing data cleaning operation on the associated data to obtain target behavior data of the target user, which is acquired by each terminal device;
and the determining module is used for merging the target behavior data and determining the behavior track of the target user according to the merged target behavior data.
Further, the data cleaning module is further configured to perform data cleaning operation on the associated data in a time dimension and a space dimension to obtain target behavior data of the target user, which is acquired by each terminal device.
Further, the data cleansing module includes:
the first determining unit is used for determining the acquisition range of the behavior data acquired by each terminal device according to the device data;
the acquisition unit is used for acquiring acquisition time in each behavior data;
and the processing unit is used for taking intersection of the associated data corresponding to the same space and the same time based on the acquisition range and the acquisition time to obtain the target behavior data of the target user acquired by each terminal device.
Further, the determining module includes:
the second determining unit is used for determining target acquisition time corresponding to each target behavior data;
the merging unit is used for merging the target behavior data from front to back according to the target acquisition time;
the second determining unit is further configured to determine a behavior trajectory of the target user according to the merged target behavior data.
Further, the establishing module comprises:
a third determining unit, configured to determine a terminal device that acquires the behavior data;
and the association unit is used for associating the behavior data with the equipment data of the terminal equipment for acquiring the behavior data to obtain associated data, wherein the associated data at least comprises acquisition time of the behavior data, user information of a user corresponding to the behavior data, equipment information of the terminal equipment and position information of the terminal equipment.
Further, the device for determining the behavior track further comprises:
the dividing module is used for dividing the space where each terminal device is located according to a preset dividing rule to obtain the space corresponding to each terminal device;
and the association module is used for associating the equipment information of each terminal equipment with the space information of the corresponding space of each terminal equipment to obtain the equipment data of each terminal equipment.
Further, the device for determining the behavior track further comprises:
the adding module is used for adding category labels to corresponding target users according to the behavior tracks;
the acquisition module is further used for acquiring the information to be pushed corresponding to the category label;
the device for determining the behavior track further comprises:
and the sending module is used for sending the information to be pushed to target equipment of a target user corresponding to the category label so that the target equipment can output the information to be pushed.
The specific implementation of the device for determining a behavior trajectory of the present invention is substantially the same as the embodiments of the method for determining a behavior trajectory, and is not described herein again.
In addition, the present invention further provides a device for determining a behavior trace, as shown in fig. 4, fig. 4 is a schematic structural diagram of a hardware operating environment according to an embodiment of the present invention.
It should be noted that fig. 4 is a schematic structural diagram of a hardware operating environment of a device for determining a behavior trace. The present invention is implemented in a manner that the trajectory determination device may be a terminal device such as a PC, a portable computer, or the like.
As shown in fig. 4, the behavior trace determining device may include: a processor 1001, such as a CPU, a memory 1005, a user interface 1003, a network interface 1004, a communication bus 1002. Wherein a communication bus 1002 is used to enable connective communication between these components. The user interface 1003 may include a Display screen (Display), an input unit such as a Keyboard (Keyboard), and the optional user interface 1003 may also include a standard wired interface, a wireless interface. The network interface 1004 may optionally include a standard wired interface, a wireless interface (e.g., WI-FI interface). The memory 1005 may be a high-speed RAM memory or a non-volatile memory (e.g., a magnetic disk memory). The memory 1005 may alternatively be a storage device separate from the processor 1001.
Those skilled in the art will appreciate that the configuration of the behavior trace determining apparatus shown in fig. 4 does not constitute a limitation of the behavior trace determining apparatus, and may include more or fewer components than those shown, or some components in combination, or a different arrangement of components.
As shown in fig. 4, a memory 1005, which is a kind of computer storage medium, may include therein an operating system, a network communication module, a user interface module, and a determination program of a behavior trace. The operating system is a program for managing and controlling the behavior trace, determining hardware and software resources of the equipment, and supporting the behavior trace determining program and the running of other software or programs.
In the behavior trace determination device shown in fig. 4, the user interface 1003 is mainly used for connecting a terminal device and performing data communication with the terminal device; the network interface 1004 is mainly used for the background server and performs data communication with the background server; the processor 1001 may be configured to call a determination program of the behavior trace stored in the memory 1005 and execute the steps of the determination method of the behavior trace as described above.
The specific implementation of the device for determining a behavior trajectory of the present invention is basically the same as that of each embodiment of the method for determining a behavior trajectory, and is not described herein again.
Furthermore, an embodiment of the present invention further provides a computer-readable storage medium, where a program for determining a behavior trace is stored, and when executed by a processor, the program for determining a behavior trace implements the steps of the method for determining a behavior trace as described above.
The specific implementation manner of the computer-readable storage medium of the present invention is substantially the same as that of each embodiment of the above behavior trajectory determination method, and is not described herein again.
It should be noted that, in this document, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other like elements in a process, method, article, or apparatus that comprises the element.
The above-mentioned serial numbers of the embodiments of the present invention are merely for description and do not represent the merits of the embodiments.
Through the above description of the embodiments, those skilled in the art will clearly understand that the method of the above embodiments can be implemented by software plus a necessary general hardware platform, and certainly can also be implemented by hardware, but in many cases, the former is a better implementation manner. Based on such understanding, the technical solutions of the present invention may be embodied in the form of a software product, which is stored in a storage medium (such as ROM/RAM, magnetic disk, optical disk) and includes instructions for enabling a terminal device (such as a mobile phone, a computer, a server, a behavior trace determining device, or a network device) to execute the method according to the embodiments of the present invention.
The above description is only a preferred embodiment of the present invention, and not intended to limit the scope of the present invention, and all modifications of equivalent structures and equivalent processes, which are made by using the contents of the present specification and the accompanying drawings, or directly or indirectly applied to other related technical fields, are included in the scope of the present invention.
Claims (10)
1. A method for determining a behavior trace is characterized by comprising the following steps:
acquiring behavior data acquired by each terminal device and acquiring device data of each terminal device;
establishing an association relation between the behavior data and the equipment data to obtain association data;
performing data cleaning operation on the associated data to obtain target behavior data of the target user, which is acquired by each terminal device;
and merging the target behavior data, and determining the behavior track of the target user according to the merged target behavior data.
2. The method for determining a behavior trace according to claim 1, wherein the step of performing a data cleansing operation on the associated data to obtain the target behavior data of the target user collected by each terminal device comprises:
and performing data cleaning operation on the associated data in a time dimension and a space dimension to obtain target behavior data of the target user, which is acquired by each terminal device.
3. The method for determining a behavior trace according to claim 2, wherein the step of performing a data cleansing operation on the associated data in a time dimension and a space dimension to obtain the target behavior data of the target user collected by each terminal device comprises:
determining the collection range of behavior data collected by each terminal device according to the device data, and obtaining the collection time in each behavior data;
and acquiring intersection of the associated data corresponding to the same space and the same time based on the acquisition range and the acquisition time to obtain target behavior data of the target user acquired by each terminal device.
4. The method for determining the behavior trace according to claim 1, wherein the step of merging the target behavior data and determining the behavior trace of the target user according to the merged target behavior data comprises:
determining target acquisition time corresponding to each target behavior data;
and merging the target behavior data from front to back according to the target acquisition time, and determining the behavior track of the target user according to the merged target behavior data.
5. The method for determining a behavior trace according to claim 1, wherein the step of establishing an association relationship between the behavior data and the device data to obtain association data comprises:
and determining the terminal equipment for acquiring the behavior data, and associating the behavior data with the equipment data of the terminal equipment for acquiring the behavior data to obtain associated data, wherein the associated data at least comprises acquisition time of the behavior data, user information of a user corresponding to the behavior data, equipment information of the terminal equipment and position information of the terminal equipment.
6. The method for determining a behavior trace according to claim 1, wherein the steps of obtaining the behavior data collected by each terminal device and obtaining the device data of each terminal device are preceded by:
dividing the space where each terminal device is located according to a preset division rule to obtain the space corresponding to each terminal device;
and associating the equipment information of each terminal equipment with the space information of the corresponding space of each terminal equipment to obtain the equipment data of each terminal equipment.
7. The method for determining a behavior trace according to any one of claims 1 to 6, wherein after the step of merging the target behavior data and determining the behavior trace of the target user according to the merged target behavior data, the method further comprises:
adding category labels to corresponding target users according to the behavior tracks;
and acquiring the information to be pushed corresponding to the category label, and sending the information to be pushed to target equipment of a target user corresponding to the category label so that the target equipment can output the information to be pushed.
8. A behavior trace determination device, characterized by comprising:
the acquisition module is used for acquiring the behavior data acquired by each terminal device and acquiring the device data of each terminal device;
the establishing module is used for establishing an association relationship between the behavior data and the equipment data to obtain association data;
the data cleaning module is used for performing data cleaning operation on the associated data to obtain target behavior data of the target user, which is acquired by each terminal device;
and the determining module is used for merging the target behavior data and determining the behavior track of the target user according to the merged target behavior data.
9. A behavior trace determining apparatus, characterized in that the behavior trace determining apparatus comprises a memory, a processor and a behavior trace determining program stored on the memory and executable on the processor, and the behavior trace determining program, when executed by the processor, implements the steps of the behavior trace determining method according to any one of claims 1 to 7.
10. A computer-readable storage medium, characterized in that the computer-readable storage medium has stored thereon a behavior trace determination program, which when executed by a processor implements the steps of the behavior trace determination method according to any one of claims 1 to 7.
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