CN112579846A - Visualization method and system for user behavior track - Google Patents
Visualization method and system for user behavior track Download PDFInfo
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- 238000007794 visualization technique Methods 0.000 title claims abstract description 15
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- 230000002441 reversible effect Effects 0.000 claims abstract description 11
- 238000012800 visualization Methods 0.000 claims description 18
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- 238000010276 construction Methods 0.000 claims description 7
- 230000000007 visual effect Effects 0.000 claims description 5
- 230000006399 behavior Effects 0.000 abstract description 120
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- 238000004891 communication Methods 0.000 description 6
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Abstract
The invention provides a visualization method and a system of a user behavior track, wherein the visualization method comprises the following steps: a step of constructing a user behavior track data set: constructing a user behavior track data set according to the collected user behavior track data; and (3) data processing: performing standardized format processing on the user behavior trajectory data in the user behavior trajectory data set; data visualization step: and visually displaying the user behavior track data processed by the standardized format according to a preset rule. The method can analyze data more intuitively and clearly based on the current user behavior track data, and improve the recognition rate of intelligent recommendation; meanwhile, data are displayed according to the reverse order of date and time, recent behaviors of a user can be analyzed more efficiently, and more accurate personal digital portrait is depicted.
Description
Technical Field
The invention belongs to the technical field of data visualization, and particularly relates to a visualization method and system for a user behavior track.
Background
Under the background of big data, the cloud computing and cloud storage technology enables the collection, mining and utilization of massive user behavior track information to be possible, the behavior track information enables the individual identity and behavior authentication to realize the flow from unidentifiable to identifiable, and the method is an important supporting means for developing accurate information push and personal digital portrait at present.
In the prior art, table data type single list user behavior track information is mostly adopted, a main table user lists a user behavior track, specific track information is replaced by an agreed mapping code, and each behavior track of an attached table list specifically corresponds to a behavior. However, in this way, it is found in practice that the user behavior trajectory uses the mapping code, the comparison is not intuitive, and the tables need to be compared line by line when the user behavior trajectory is analyzed; meanwhile, the time contrast between the specific user behaviors and the implementation behaviors is not clear, and only the user ID and the behavior track mapping code are used, so that the understanding of the digital portrait information of the user is not convenient enough.
Therefore, it is desirable to develop a method and system for visualizing a behavior trace of a user, which overcome the above-mentioned drawbacks.
Disclosure of Invention
In view of the above problem, the present invention provides a method for visualizing a user behavior trajectory, wherein the method includes:
a step of constructing a user behavior track data set: constructing a user behavior track data set according to the collected user behavior track data;
and (3) data processing: performing standardized format processing on the user behavior trajectory data in the user behavior trajectory data set;
data visualization step: and visually displaying the user behavior track data processed by the standardized format according to a preset rule.
The visualization method described above, wherein the step of constructing the user behavior trajectory data set includes: and acquiring and obtaining the user behavior track data by a front end in a point burying mode, wherein the user behavior track data comprises time information and user behavior information.
The visualization method described above, wherein the data processing step includes:
and (3) classification step: classifying the user behavior trajectory data of any user according to time;
a storage step: and taking the time information of the user behavior trajectory data as a key, and simultaneously taking the user behavior information corresponding to the time information as a value to be stored.
The visualization method described above, wherein the data processing step further includes:
and (3) filtering: and filtering the user behavior trajectory data through a callback method.
The visualization method described above, wherein the data visualization step includes: and performing visual display of the user behavior trajectory data according to the time information in a reverse order.
The invention also provides a visualization system of the user behavior track, which comprises the following components:
the user behavior track data set construction unit constructs a user behavior track data set according to the collected user behavior track data;
the data processing unit is used for carrying out standardized format processing on the user behavior track data in the user behavior track data set;
and the data visualization unit is used for visually displaying the user behavior trajectory data after the standardized format processing according to a preset rule.
In the visualization system, the user behavior track data set construction unit collects and obtains the user behavior track data by embedding points at the front end, and the user behavior track data includes time information and user behavior information.
The above visualization system, wherein the data processing unit comprises:
the classification module is used for classifying the user behavior track data of any user according to time;
and the storage module is used for taking the time information of the user behavior track data as a key and simultaneously taking the user behavior information corresponding to the time information as a value to store.
The above visualization system, wherein the data processing unit further comprises:
and the filtering module is used for filtering the user behavior track data through a callback method.
In the above visualization system, the data visualization unit performs visualization display of the user behavior trajectory data according to the time information in a reverse order.
In summary, compared with the prior art, the invention has the following effects: the method can analyze data more intuitively and clearly based on the current user behavior track data, and improve the recognition rate of intelligent recommendation; meanwhile, data are displayed according to the reverse order of date and time, recent behaviors of a user can be analyzed more efficiently, and more accurate personal digital portrait is depicted.
Additional features and advantages of the invention will be set forth in the description which follows, and in part will be obvious from the description, or may be learned by practice of the invention. The objectives and other advantages of the invention will be realized and attained by the structure particularly pointed out in the written description and claims hereof as well as the appended drawings.
Drawings
The accompanying drawings, which are included to provide a further understanding of the application and are incorporated in and constitute a part of this application, illustrate embodiment(s) of the application and together with the description serve to explain the application and not to limit the application. In the drawings:
FIG. 1 is a flow chart of a method of visualizing a user behavior trajectory of the present invention;
FIG. 2 is a flowchart illustrating the substeps of step S2 in FIG. 1;
FIG. 3 is a flowchart illustrating an application of the method for visualizing the user behavior trajectory according to the present invention;
FIG. 4 is a schematic view of visualization effects;
FIG. 5 is a schematic structural diagram of a system for visualizing a user behavior trajectory according to the present invention;
fig. 6 is a frame diagram of an electronic device of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are some, but not all, embodiments of the present invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
The exemplary embodiments of the present invention and the description thereof are provided to explain the present invention and not to limit the present invention. Additionally, the same or similar numbered elements/components used in the drawings and the embodiments are used to represent the same or similar parts.
As used herein, the terms "first", "second", "S1", "S2", …, etc. do not particularly denote an order or sequential meaning, nor are they intended to limit the present invention, but merely distinguish between elements or operations described in the same technical terms.
With respect to directional terminology used herein, for example: up, down, left, right, front or rear, etc., are simply directions with reference to the drawings. Accordingly, the directional terminology used is intended to be illustrative and is not intended to be limiting of the present teachings.
As used herein, the terms "comprising," "including," "having," "containing," and the like are open-ended terms that mean including, but not limited to.
As used herein, "and/or" includes any and all combinations of the described items.
References to "plurality" herein include "two" and "more than two"; reference to "multiple sets" herein includes "two sets" and "more than two sets".
As used herein, the terms "substantially", "about" and the like are used to modify any slight variation in quantity or error that does not alter the nature of the variation. Generally, the range of slight variations or errors modified by such terms may be 20% in some embodiments, 10% in some embodiments, 5% in some embodiments, or other values. It should be understood by those skilled in the art that the aforementioned values can be adjusted according to actual needs, and are not limited thereto.
Certain words used to describe the present application are discussed below or elsewhere in this specification to provide additional guidance to those skilled in the art in describing the present application.
In the following, the technical terms related to the present invention are explained as follows:
behavior track: refers to the behavior process data recorded by the computer hardware or software during the process of using the computer and the network by the network user.
Visualization (Visualization): the theory, method and technology are that computer graphics and image processing technology are utilized to convert data into graphics or images to be displayed on a screen, and then interactive processing is carried out.
API: an Application Programming Interface (api) is a convention for linking different components of a software system, and is also called an api. The primary purpose of the application program interface is to provide applications and developers the ability to access a set of routines without having to access source code or understand the details of the internal workings.
User portrait: as an effective tool for sketching the appeal and the design direction of target users and related users, user portrayal is widely applied to various fields. Under the background of the big data era, user information is flooded in a network, each concrete information of a user is abstracted into labels, and the labels are utilized to concretize the user image, so that targeted services are provided for the user.
And (4) callback function: one is passed as a function of the parameter. In C, the callback function can only be implemented using a function pointer, and in more modern programming languages such as C + +, Python, ECMAScript, etc., an emulated function or an anonymous function can also be used. The use of callback functions can greatly increase the efficiency of programming, which makes it very much used in modern programming. At the same time, there are some requirements that must be fulfilled using callback functions. The most famous callback function calls a parameter similar to strcmp, which is required by a quick sequencing function qsort in a C/C + + standard library stdlib.h/cstdlib and a binary search function bsearch, and is used for setting a data comparison method.
Embodiments of the invention are described in detail below with reference to the accompanying drawings:
referring to fig. 1, fig. 1 is a flowchart illustrating a method for visualizing a user behavior trajectory according to the present invention. As shown in fig. 1, the method for visualizing the user behavior trajectory of the present invention includes:
a user behavior trajectory data set construction step S1: and constructing a user behavior track data set according to the collected user behavior track data, wherein the user behavior track data set constructing step S1 includes collecting and obtaining the user behavior track data by embedding points at the front end, and the user behavior track data includes time information and user behavior information.
Data processing step S2: and carrying out standardized format processing on the user behavior track data in the user behavior track data set.
Data visualization step S3: and visually displaying the user behavior track data processed by the standardized format according to a preset rule.
Further, referring to fig. 2, fig. 2 is a flowchart illustrating a sub-step of step S2 in fig. 1. As shown in fig. 2, the data processing step S2 includes:
classification step S21: classifying the user behavior trace data of any user according to time.
Storage step S22: and taking the time information of the user behavior trajectory data as a key, and simultaneously taking the user behavior information corresponding to the time information as a value to be stored.
Filtering step S23: and filtering the user behavior trajectory data through a callback method.
Still further, the data visualization step S3 includes: and performing visual display of the user behavior trajectory data according to the time information in a reverse order.
Therefore, the method and the device map the specific behaviors performed by the specific user to the page by combining the user behavior data set, and realize the corresponding visual display of the user and the behaviors; meanwhile, the occurrence time of the user behaviors corresponds to the specific user behavior description, the user behaviors are displayed according to the time line sequence, and particularly, the data are displayed according to the reverse date and time sequence, so that the recent behaviors of the user can be analyzed more efficiently, and more accurate personal digital portrait can be depicted.
Referring to fig. 3-4, fig. 3 is a flowchart illustrating an application of the method for visualizing the user behavior trajectory according to the present invention; fig. 4 is a schematic view of visualization effect. The following describes the method for visualizing the user behavior trace according to the present invention with an embodiment in conjunction with fig. 3-4.
Firstly, a user carries out actions such as previewing, clicking, sharing and the like in the system, and the front end uploads the action data occurrence time and specific actions to the data acquisition system through the embedded point to be recorded.
Secondly, classifying behavior track data of a certain user according to dates according to an existing user behavior data set returned by the API, mainly adopting a native method-map in a JS array, realizing mapping by using the map, calling a callback function for each element in the array in sequence, forming a new array by using a return value executed by the callback function, using a unique attribute of a key value of an object, taking the date as the key of the object independently in a traversal process, taking an object form as a main data storage structure, and particularly storing user behavior information data occurring in the date as the array in a value form.
For a service scene with certain information needing to be filtered, a callback method can be provided for each element in the current array by combining with a filter which is a primary method of the JS array, the value returned by the callback methods is true to form a new array, elements which do not pass the callback method test can be skipped, and the elements can not appear in the new array, so that the filtered target data can be obtained.
And finally, after the date classification is finished, data display is carried out according to the reverse sequence of the occurrence time points of the user triggering behaviors, recent behaviors are preferentially displayed, the user behaviors of each time point correspond to detailed descriptions, and the display is more visual.
Referring to fig. 5, fig. 5 is a schematic structural diagram of a visualization system of a user behavior trajectory according to the present invention. As shown in fig. 5, the visualization system of the user behavior trajectory of the present invention includes:
the user behavior track data set construction unit 11 is used for constructing a user behavior track data set according to the collected user behavior track data;
the data processing unit 12 is used for performing standardized format processing on the user behavior trajectory data in the user behavior trajectory data set;
and the data visualization unit 13 is used for visually displaying the user behavior trajectory data processed by the standardized format according to a preset rule.
The user behavior track data set construction unit 11 collects and obtains the user behavior track data by embedding points at the front end, and the user behavior track data includes time information and user behavior information.
Further, the data processing unit 12 includes:
a classification module 121 configured to classify the user behavior trajectory data of any user according to time;
the storage module 122 is configured to take the time information of the user behavior trajectory data as a key, and store the user behavior information corresponding to the time information as a value.
Still further, the data processing unit 12 further includes:
and the filtering module 123 filters the user behavior trajectory data by a callback method.
Further, the data visualization unit 13 performs visualization display of the user behavior trajectory data according to the time information in a reverse order.
In addition, a method for visualizing a user behavior trajectory as described in connection with fig. 1-2 may be implemented by an electronic device. Fig. 6 is a frame diagram of an electronic device of the present invention.
The electronic device may comprise a processor 61 and a memory 62 in which computer program instructions are stored.
Specifically, the processor 61 may include a Central Processing Unit (CPU), or A Specific Integrated Circuit (ASIC), or may be configured to implement one or more Integrated circuits of the embodiments of the present Application.
The memory 62 may be used to store or cache various data files that need to be processed and/or used for communication, as well as possible computer program instructions executed by the processor 61.
The processor 61 implements any of the cold start interface design methods in the above embodiments by reading and executing computer program instructions stored in the memory 62.
In some of these embodiments, the electronic device may also include a communication interface 63 and a bus 60. As shown in fig. 6, the processor 61, the memory 62, and the communication interface 63 are connected via a bus 60 to complete mutual communication.
The communication port 63 may be implemented with other components such as: the data communication is carried out among external equipment, image/data acquisition equipment, a database, external storage, an image/data processing workstation and the like.
The bus 60 includes hardware, software, or both to couple the components of the electronic device to one another. Bus 60 includes, but is not limited to, at least one of the following: data Bus (Data Bus), Address Bus (Address Bus), Control Bus (Control Bus), expansion Bus (expansion Bus), and Local Bus (Local Bus). By way of example, and not limitation, Bus 60 may include an Accelerated Graphics Port (AGP) or other Graphics Bus, an Enhanced Industry Standard Architecture (EISA) Bus, a Front-Side Bus (FSB), a Hyper Transport (HT) Interconnect, an ISA (ISA) Bus, an InfiniBand (InfiniBand) Interconnect, a Low Pin Count (LPC) Bus, a memory Bus, a microchannel Architecture (MCA) Bus, a PCI (Peripheral Component Interconnect) Bus, a PCI-Express (PCI-X) Bus, a Serial Advanced Technology Attachment (SATA) Bus, a Video Electronics Bus (audio Electronics Association), abbreviated VLB) bus or other suitable bus or a combination of two or more of these. Bus 60 may include one or more buses, where appropriate. Although specific buses are described and shown in the embodiments of the application, any suitable buses or interconnects are contemplated by the application.
The electronic device can execute a visualization method of a user behavior track in the embodiment of the application.
In addition, in combination with the method for visualizing the user behavior trajectory in the foregoing embodiments, embodiments of the present application may provide a computer-readable storage medium to implement. The computer readable storage medium having stored thereon computer program instructions; the computer program instructions, when executed by a processor, implement a method for visualizing a user behavior trajectory as in any of the above embodiments.
And the aforementioned storage medium includes: various media capable of storing program codes, such as a usb disk, a removable hard disk, a Read Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk, or an optical disk.
In conclusion, the data are stored in a key value pair mode through the user behavior track data set returned by the API, the corresponding relation of specific time and behavior is displayed according to the date-time sequence, and meanwhile, a more accurate personal digital portrait is depicted based on the date-time-behavior relation, so that the intelligent identification recommendation accuracy is improved. Therefore, by the method and the device, the user can analyze data more visually and clearly based on the current user behavior track data, and the recognition rate of intelligent recommendation is improved; meanwhile, data are displayed according to the reverse order of date and time, recent behaviors of a user can be analyzed more efficiently, and more accurate personal digital portrait is depicted.
The above-mentioned embodiments only express several embodiments of the present application, and the description thereof is more specific and detailed, but not construed as limiting the scope of the invention. It should be noted that, for a person skilled in the art, several variations and modifications can be made without departing from the concept of the present application, which falls within the scope of protection of the present application. Therefore, the protection scope of the present patent shall be subject to the appended claims.
Claims (10)
1. A visualization method for a user behavior track is characterized by comprising the following steps:
a step of constructing a user behavior track data set: constructing a user behavior track data set according to the collected user behavior track data;
and (3) data processing: performing standardized format processing on the user behavior trajectory data in the user behavior trajectory data set;
data visualization step: and visually displaying the user behavior track data processed by the standardized format according to a preset rule.
2. A visualization method as recited in claim 1, wherein the user behavior trace dataset constructing step comprises: and acquiring and obtaining the user behavior track data by a front end in a point burying mode, wherein the user behavior track data comprises time information and user behavior information.
3. A visualization method as recited in claim 2, wherein said data processing step comprises:
and (3) classification step: classifying the user behavior trajectory data of any user according to time;
a storage step: and taking the time information of the user behavior trajectory data as a key, and simultaneously taking the user behavior information corresponding to the time information as a value to be stored.
4. A visualization method as recited in claim 3, wherein said data processing step further comprises:
and (3) filtering: and filtering the user behavior trajectory data through a callback method.
5. A visualization method as recited in claim 1, wherein said data visualization step comprises: and performing visual display of the user behavior trajectory data according to the time information in a reverse order.
6. A system for visualizing a trajectory of user behavior, comprising:
the user behavior track data set construction unit constructs a user behavior track data set according to the collected user behavior track data;
the data processing unit is used for carrying out standardized format processing on the user behavior track data in the user behavior track data set;
and the data visualization unit is used for visually displaying the user behavior trajectory data after the standardized format processing according to a preset rule.
7. The visualization system according to claim 6, wherein the user behavior trace data set construction unit collects and obtains the user behavior trace data by embedding points through a front end, and the user behavior trace data includes time information and user behavior information.
8. A visualization system as recited in claim 7, wherein said data processing unit comprises:
the classification module is used for classifying the user behavior track data of any user according to time;
and the storage module is used for taking the time information of the user behavior track data as a key and simultaneously taking the user behavior information corresponding to the time information as a value to store.
9. A visualization system as recited in claim 8, wherein said data processing unit further comprises:
and the filtering module is used for filtering the user behavior track data through a callback method.
10. The visualization system according to claim 6, wherein the data visualization unit performs the visualization of the user behavior trajectory data in reverse order according to the time information.
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