CN111538645B - Data visualization method and related equipment - Google Patents
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- CN111538645B CN111538645B CN202010216893.9A CN202010216893A CN111538645B CN 111538645 B CN111538645 B CN 111538645B CN 202010216893 A CN202010216893 A CN 202010216893A CN 111538645 B CN111538645 B CN 111538645B
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- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F11/00—Error detection; Error correction; Monitoring
- G06F11/30—Monitoring
- G06F11/34—Recording or statistical evaluation of computer activity, e.g. of down time, of input/output operation ; Recording or statistical evaluation of user activity, e.g. usability assessment
- G06F11/3438—Recording or statistical evaluation of computer activity, e.g. of down time, of input/output operation ; Recording or statistical evaluation of user activity, e.g. usability assessment monitoring of user actions
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- G06F9/00—Arrangements for program control, e.g. control units
- G06F9/06—Arrangements for program control, e.g. control units using stored programs, i.e. using an internal store of processing equipment to receive or retain programs
- G06F9/44—Arrangements for executing specific programs
- G06F9/451—Execution arrangements for user interfaces
Abstract
The application relates to the field of data analysis, in particular to a data visualization method and related equipment, which are applied to a server, wherein the method comprises the following steps: acquiring N user behavior data of N electronic devices, wherein the N electronic devices are all provided with first applications, the user behavior data are generated when the electronic devices run the first applications, the N user behavior data are in one-to-one correspondence with the N electronic devices, and N is a positive integer; processing the N user behavior data to generate a user behavior line tree, wherein the user behavior line tree is used for describing the access condition of the user associated with the N electronic devices to the page of the first application; and displaying the user behavior line-moving tree. The method and the device for the user behavior data visualization are beneficial to visualization research on the user behavior data, so that the access condition of the user in the application can be known.
Description
Technical Field
The present application relates to the field of electronic technologies, and in particular, to a data visualization method and related devices.
Background
With the development and popularization of electronic devices (such as mobile phones, tablet computers, and the like), more and more people have portable electronic devices. Developers also develop a large number of applications in order to enrich the functionality of electronic devices. When the applications are used, user behavior data can be generated, and the user behavior data can be displayed visually, so that the follow-up understanding of the access condition of the user in the applications can be facilitated, and the preparation for the follow-up optimization of the application layout can be realized. However, effective research on user behavior data visualization is lacked at present, and the access situation of a user in an application cannot be known, which is a problem to be solved urgently.
Disclosure of Invention
The embodiment of the application provides a data visualization method and related equipment, which are beneficial to performing visualization research on user behavior data, so that the access condition of a user in an application can be known.
In a first aspect, an embodiment of the present application provides a data visualization method, which is applied to a server, and the method includes:
acquiring N user behavior data of N electronic devices, wherein the N electronic devices are all provided with first applications, the user behavior data are generated when the electronic devices run the first applications, the N user behavior data are in one-to-one correspondence with the N electronic devices, and N is a positive integer;
extracting, cutting and combining the N user behavior data to generate a user behavior line-moving tree, wherein the user behavior line-moving tree is used for describing the access condition of the user associated with the N electronic devices to the page of the first application;
and displaying the user behavior line-moving tree.
In a second aspect, an embodiment of the present application provides a data visualization apparatus, which is applied to a server, and the apparatus includes:
the electronic equipment comprises an acquisition unit, a processing unit and a processing unit, wherein the acquisition unit is used for acquiring N user behavior data of N pieces of electronic equipment, the N pieces of electronic equipment are all provided with first applications, the user behavior data are generated when the electronic equipment runs the first applications, the N pieces of user behavior data correspond to the N pieces of electronic equipment one by one, and N is a positive integer;
the processing unit is used for extracting, cutting and combining the N pieces of user behavior data to generate a user behavior line tree, and the user behavior line tree is used for describing the access condition of the user associated with the N pieces of electronic equipment to the page of the first application;
and the display unit is used for displaying the user behavior line-moving tree.
In a third aspect, embodiments of the present application provide an electronic device, which includes a processor, a memory, a communication interface, and one or more programs, stored in the memory and configured to be executed by the processor, the programs including instructions for performing some or all of the steps described in the method according to the first aspect of the embodiments of the present application.
In a fourth aspect, the present application provides a computer-readable storage medium, where the computer-readable storage medium is used to store a computer program, where the computer program is executed by a processor to implement part or all of the steps described in the method according to the first aspect of the present application.
It can be seen that, in the embodiment of the application, the server acquires N user behavior data of N electronic devices for the first time, extracts, cuts and combines the N user behavior data to generate the user behavior line tree, and finally displays the user behavior line tree, which is beneficial to performing visual research on the user behavior data, so as to know the access condition of the user in the application.
These and other aspects of the present application will be more readily apparent from the following description of the embodiments.
Drawings
In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present application, and for those skilled in the art, other drawings can be obtained according to the drawings without creative efforts.
Fig. 1 is a tissue architecture diagram of a data visualization system provided by an embodiment of the present application;
fig. 2A is a schematic flowchart of a data visualization method provided in an embodiment of the present application;
fig. 2B is a schematic structural diagram of a user behavior line tree according to an embodiment of the present disclosure;
FIG. 2C is a schematic structural diagram of another user behavior line tree according to an embodiment of the present disclosure;
FIG. 3 is a schematic flow chart diagram illustrating another data visualization method provided by an embodiment of the present application;
fig. 4 is a schematic structural diagram of an electronic device provided in an embodiment of the present application;
fig. 5 is a schematic structural diagram of a data visualization apparatus according to an embodiment of the present application.
Detailed Description
In order to make the technical solutions better understood by those skilled in the art, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are only partial embodiments of the present application, but not all embodiments. 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 application.
The following are detailed below.
The terms "first," "second," "third," and "fourth," etc. in the description and claims of this application and in the accompanying drawings are used for distinguishing between different objects and not for describing a particular order. Furthermore, the terms "include" and "have," as well as any variations thereof, are intended to cover non-exclusive inclusions. For example, a process, method, system, article, or apparatus that comprises a list of steps or elements is not limited to only those steps or elements listed, but may alternatively include other steps or elements not listed, or inherent to such process, method, article, or apparatus.
Reference herein to "an embodiment" means that a particular feature, structure, or characteristic described in connection with the embodiment can be included in at least one embodiment of the application. The appearances of the phrase in various places in the specification are not necessarily all referring to the same embodiment, nor are separate or alternative embodiments mutually exclusive of other embodiments. It is explicitly and implicitly understood by one skilled in the art that the embodiments described herein can be combined with other embodiments.
Hereinafter, some terms in the present application are explained to facilitate understanding by those skilled in the art.
Electronic devices may include various servers with wireless communication capabilities, handheld devices, vehicle mounted devices, wearable devices (e.g., smartwatches, smartbands, pedometers, etc.), computing devices or other processing devices communicatively connected to wireless modems, as well as various forms of User Equipment (UE), Mobile Stations (MS), terminal Equipment (terminal device), and so forth. For convenience of description, the above-mentioned devices are collectively referred to as electronic devices.
A server, also called a server, is a device that provides a computing service to a user, and since the server needs to respond to and process a service request, the server generally has the capability of supporting and securing the service.
As shown in fig. 1, fig. 1 is a tissue architecture diagram of a data visualization system provided in an embodiment of the present application. The data visualization system comprises N electronic devices and a server, wherein N is a positive integer. The N pieces of electronic equipment are all provided with first applications; the server is used for acquiring user behavior data generated when the first application runs on the N pieces of electronic equipment, processing the N pieces of user behavior data, generating a user behavior line tree, and finally visually displaying the user behavior line tree. The server may be a cloud host that manages, computes, and maintains the generated data for the first application, the cloud host including a first cloud host running a Kafka platform, a second cloud host including a Redis database, and a third cloud host including a Hbase database. The first cloud host is used for acquiring N user behavior data sent by N electronic devices; processing the N user behavior data by the second cloud host user processing to generate a user behavior line tree, and caching data generated in the processing process into a redis database; and the third cloud host is used for sending the user behavior tree to the front end for visual display.
Among them, Kafka is an open source stream processing platform developed by Apache software foundation, written by Scala and Java. Kafka is a high-throughput distributed publish-subscribe messaging system that can handle all the action flow data of a consumer in a web site. This action (web browsing, searching and other user actions) is a key factor in many social functions on modern networks. These data are typically addressed by handling logs and log aggregations due to throughput requirements.
Where Redis is a key-value storage system. Similar to Memcached, it supports relatively more stored value types, including string, list, set, zset, and hash. These data types all support push/pop, add/remove, and intersect union and difference, and richer operations, and these operations are all atomic. On this basis, redis supports various different ways of ordering. Like memcached, data is cached in memory to ensure efficiency. The difference is that the redis can periodically write updated data into a disk or write modification operation into an additional recording file, and master-slave synchronization is realized on the basis of the update.
Among them, HBase is a distributed, column-oriented open source database, and the technology is derived from Google paper "Bigtable: a distributed storage system of structured data. Just as Bigtable takes advantage of the distributed data storage provided by the Google File System (File System), HBase provides Bigtable-like capabilities over Hadoop. HBase is a sub-item of the Hadoop item of Apache. HBase is different from a general relational database, and is a database suitable for unstructured data storage. Another difference is that HBase is based on a column rather than a row based pattern.
Referring to fig. 2A, fig. 2A is a schematic flowchart of a data visualization method provided in an embodiment of the present application, and the method is applied to a server, and the method includes:
step 201: the method comprises the steps of obtaining N user behavior data of N electronic devices, wherein the N electronic devices are all provided with first applications, the user behavior data are generated when the electronic devices run the first applications, the N user behavior data are in one-to-one correspondence with the N electronic devices, and N is a positive integer.
Step 202: and extracting, cutting and combining the N user behavior data to generate a user behavior line-moving tree, wherein the user behavior line-moving tree is used for describing the access condition of the user associated with the N electronic devices to the page of the first application.
Step 203: and displaying the user behavior line-moving tree.
The user behavior data is data generated by various operations performed by a user on an application or a website page installed by the electronic equipment, and the user behavior is composed of 5 simple elements: time, place, person, interaction, content of interaction, that is, when, where, and in what way of interaction the user has completed the operation of the content. The behavior of the user is basically divided into three types: access, browsing, and behavior. Opening an application to access multimedia data such as an event, watching an advertisement, a video, an article, etc. as a browsing event, clicking "skip", "return", etc. as a behavior event. Each access event may consist of multiple browse events and multiple click events.
The user behavior trace represents a flow route formed by connecting the behavior data of the user in series according to a certain spatial organization, and the user behavior trace tree represents the user behavior trace as a tree structure.
It can be seen that, in the embodiment of the application, the server acquires N user behavior data of N electronic devices for the first time, processes the N user behavior data to generate the user behavior trace tree, and displays the user behavior trace tree, which is beneficial to performing visual research on the user behavior data, so as to know the access condition of the user in the application.
In an implementation manner of the present application, the acquiring N user behavior data of N electronic devices includes:
acquiring N user behavior data of N electronic devices based on a code point burying mode;
or acquiring N user behavior data of N electronic devices based on a visual embedded point mode;
or acquiring N user behavior data of N electronic devices based on a non-buried point mode.
The code embedding is to implant a plurality of lines of codes at a place where statistical data are needed to count key behaviors of users. For example, to count the number of CLICKs of a banner (banner) on the home page, the reported data may be in a KEY-VALUE form, where KEY is defined as [ clock _ ADD _ BTN ], and the VALUE of VALUE is the number of CLICKs. When the user CLICKs the banner, the code of the details of the banner is triggered to be executed through the callback of the button, after the service code is executed, the statistical code is added, the VALUE corresponding to the CLICK _ ADD _ BTN is added with 1, and the banner is counted to be used for one time.
Specifically, the acquiring N user behavior data of N electronic devices based on a code-based point burying manner includes: acquiring a source code of the first application; determining a first code in the source code, wherein the first code is a relevant code of user behavior data needing to be counted; adding a second code after the first code to obtain a third code, wherein the second code is used for collecting user behavior data; compiling the third code to obtain an executable file; generating a new installation package of the first application based on the executable file; sending the installation package of the first application to N electronic devices; receiving N user behavior data sent by the N electronic devices, wherein the N user behavior data are generated when the N electronic devices install the installation package of the first application and run the first application.
Specifically, the acquiring N user behavior data of N electronic devices based on a visual embedded point manner includes: sending control acquisition requests to the N pieces of electronic equipment; acquiring N pieces of control information of the N pieces of electronic equipment, wherein the control information comprises previews, frames, transforms and the like, and the N pieces of control information correspond to the N pieces of electronic equipment one by one; drawing N control trees based on the N pieces of control information, wherein the N control trees correspond to the N pieces of control information one by one; determining target control information included when the N pieces of electronic equipment run the first application based on the N control trees, wherein the target control information comprises a control mapping, text attributes and a response path from a rootViewContonller to a control; determining event configuration information based on the target control information; sending an event configuration updating request to the N pieces of electronic equipment, wherein the event configuration updating request carries the event configuration information; receiving N user behavior data sent by the N electronic devices, wherein the N user behavior data are obtained by the N electronic devices based on event types and control positioning information in the event configuration information by using addTarget: action: ForControlEvents add a supervisor to the control and send after recording an event in a callback function.
It should be noted that the specific manner of acquiring the N user behavior data of the N electronic devices based on the non-buried point manner is the same as the specific implementation manner of acquiring the N user behavior data of the N electronic devices based on the visual buried point manner, and after the N user behavior data are acquired, the method further includes screening the N user behavior data to obtain N target user behavior data, and using the N target user behavior data as new N user behavior data.
In an implementation manner of the present application, the extracting, cutting, and merging the N user behavior data to generate the user behavior line tree includes:
extracting N page access data sets from the N user behavior data, wherein each page access data set comprises at least one page access data, and the N page access data sets correspond to the N user behavior data one to one;
performing data processing on the N page access data sets to obtain N page access paths, wherein the page access paths are used for describing actual access paths of the user for the pages of the first application;
cutting each page access path into M sub-page access paths by using a cutting function, wherein each sub-page access path only comprises a path from a last access page to a next access page, and M is a positive integer;
and combining the same sub-page access paths in the N page access paths, and connecting the combined sub-page access paths to obtain the user behavior line tree.
In a specific implementation manner of the present application, the page access data includes an access behavior of the user on the page, and a time when the access behavior occurs. And performing data processing on the N page access data sets, namely sequencing the access behaviors of the users according to a time sequence, and then connecting the access behaviors obtained after sequencing in series to obtain a page access path. The page access path includes a plurality of sub-page access paths. Each sub-page access path is from a last access activity to a next access activity.
For example, as shown in fig. 2B, fig. 2B is a schematic structural diagram of a user behavior line tree according to an embodiment of the present application. The access behavior of the user comprises: re-enter, browse recommended content, owner circle tab, insurance circle tab, manual upload-health, swine year activity, health circle tab, others, churn, etc. The access behaviors sent by the N electronic devices are respectively sequenced and connected in series according to the corresponding time sequence, and N page access paths can be obtained. Each page access path is composed of a plurality of sub-page access paths, such as a page access path "child circle (3.2w) -reentry (44%) -browse recommended content (7%)" including two sub-page access paths "child circle (3.2w) -reentry (44%)" and "reentry (44%) -browse recommended content (7%)", and the percentage of the sub-page access path in the entire access can be obtained by synthesizing the same sub-page access paths, such as "child circle (3.2w) -reentry (44%) -browse recommended content (7%)" indicating that 3.2w users enter the child circle, 44% of 3.2w users re-enter the child circle, and 7% browse recommended content of 3.2w users; and connecting the merged sub-page access paths to obtain the user behavior line tree.
In another particular implementation of the present application, the page access data may include a name of the access page and a time of the access page. And performing data processing on the N page access data sets, namely sequencing the access pages according to a time sequence, and then connecting the sequenced access pages in series to obtain a page access path. The page access path includes a plurality of sub-page access paths. Each sub-page access path is from a last access page to a next access page. For example, as shown in fig. 2C, fig. 2C is a schematic structural diagram of another user behavior line tree provided in the embodiment of the present application. The first application comprises a main interface (a) comprising 3 sub-interfaces (B1, B2, B3), each sub-interface comprising 3 secondary sub-interfaces (C11, C12, C13, C21, C22, C23, C31, C32, C33).
In an implementation manner of the present application, after the displaying the user behavior line tree, the method further includes:
determining P page access paths included in the user behavior line tree, wherein the P page access paths are different from each other, and P is a positive integer;
determining P user tags corresponding to the P page access paths;
and adjusting the first application for P users corresponding to the P user tags.
It should be noted that the N page access paths are different from the P page access paths in that the N page access paths may include repeated page access paths, and the P page access paths do not include repeated page access paths, so that P is less than or equal to N.
For example, as shown in fig. 2B, the corresponding user tag for the page access path "circle of childcare (3.2w) -reentry (44%) -reentry (8%) -reentry (4.1%) -reentry (1.6%)" can be set to be a purposeless user, which type of user only re-enters the circle of childcare without any obvious purpose, so that the first application adjustment measure for such a user can add some interesting mini-games in the circle of childcare, reducing part of the recommended content; a user tag corresponding to a page access path "nursery circle (3.2w) -browse recommended content (9%) -browse recommended content (5%) -browse recommended content (3.8%)" may be set as a target user, which type of user is always browsing recommended content, and thus may decide that the content of the nursery circle is interested in, and a first application adjustment measure for such a user may be to update the recommended content in real time.
In an implementation manner of the present application, the adjusting the first application for the P users corresponding to the P user tags includes:
when the page access percentage of a first page is smaller than a first threshold value, deleting a first control which triggers the first page to be displayed in the first application and content associated with the first control, wherein the page access percentage of the first page is equal to the ratio of users who access the first page to users who do not access the first page in the P users, and the page of the first application comprises the first page;
when the page access percentage of the first page is greater than or equal to the first threshold and less than a second threshold, retaining the first control and the content associated with the first control;
and when the page access percentage of the first page is greater than or equal to the second threshold and less than a third threshold, setting the first control at the main interface of the first application.
Further, the method further comprises: when the page access percentage of the first page is larger than or equal to the third threshold, setting the first control at a main interface of the first application, and setting the area of the first control at the main interface as a preset area.
For example, assuming that the first application is WeChat, the main interface of WeChat includes four controls: the method comprises the following steps that (1) WeChat, an address list, a finding and an me are clicked, so that an auxiliary main interface can be accessed, and the auxiliary main interface comprises six controls: the payment, collection, photo album, card package, expression and setting are carried out, if the page access percentage of the control payment access payment interface is smaller than 10%, which indicates that the user does not like to pay by WeChat, the control payment and the related payment content can be deleted; if the page access percentage of the control for 'payment' to access the payment interface is larger than or equal to 10% and smaller than 20%, the payment is one of the secondary functions of the WeChat used by the user, the setting on the secondary sub-interface is reasonable, and the payment can be reserved without adjustment; if the page access percentage of the 'payment' access payment interface of the click control is larger than or equal to 20%, the fact that payment is one of main functions of the user using WeChat is shown, the page access percentage is set in the inner layer of the secondary sub-interface too close to the user using inconvenience, and the setting is not reasonable, so that the 'payment' control can be set in the main interface.
In an implementation manner of the present application, after the displaying the user behavior line tree, the method further includes:
responding to a first display request, wherein the first display request is used for requesting to display a first page access path, a second page associated in the first page access path is accessed for a preset number of times, a page of the first application comprises the second page, and the P page access paths comprise the first page access path;
and marking the first page access path on the user behavior action line tree aiming at the first display request.
For example, the user may enter the sub-interface B1 through the main interface a, then enter the sub-interface C11 through the sub-interface B1, then return to the sub-interface B1 through the sub-interface C11, then enter the sub-interface C12, and then access the sub-interface B1 twice. By marking the page access path, whether the sub-interface C12 entering from the sub-interface C11 needs to pass through the sub-interface B1 is judged, if more users access the sub-interface C12 through the page access path, the page access path can be adjusted subsequently, and the control associated with the sub-main interface C12 is placed in the sub-main interface C11, so that the optimization of the first application is realized.
It can be seen that, in the embodiment of the present application, in response to the first display request, the first page access path for the second page access preset times is marked on the user behavior action tree, so that whether the page access path can be adjusted or not can be analyzed, and the optimization of the first application is implemented.
In an implementation manner of the present application, after the displaying the user behavior line tree, the method further includes:
responding to a second display request, wherein the second display request is used for requesting to display a second page access path aiming at a preset access time period, and the P page access paths comprise the second page access path;
and marking the second page access path on the user behavior action line tree aiming at the second display request.
It can be seen that, in the embodiment of the present application, in response to the second display request, the second page access path within the preset access time period is marked on the user behavior action tree, and the user behavior of the user within the preset access time period can be analyzed, so that corresponding adjustment is performed for the first application of the preset access time period.
Referring to fig. 3, fig. 3 is a schematic flowchart of another data visualization method provided in the embodiment of the present application, and the method is applied to a server, and the method includes:
step 301: n user behavior data of N electronic devices are obtained based on a code point burying mode, a visual point burying mode or a non-point burying mode, all the N electronic devices are provided with first applications, the user behavior data are generated when the electronic devices run the first applications, the N user behavior data are in one-to-one correspondence with the N electronic devices, and N is a positive integer.
Step 302: and extracting N page access data sets from the N user behavior data, wherein each page access data set comprises at least one page access data, and the N page access data sets correspond to the N user behavior data one to one.
Step 303: and performing data processing on the N page access data sets to obtain N page access paths, wherein the page access paths are used for describing actual access paths of the user for the pages of the first application.
Step 304: and cutting each page access path into M sub-page access paths by using a cutting function, wherein each sub-page access path only comprises a path from a last access page to a next access page, and M is a positive integer.
Step 305: and combining the same sub-page access paths in the N page access paths, and connecting the combined sub-page access paths to obtain a user behavior line tree, wherein the user behavior line tree is used for describing the access condition of the user associated with the N electronic devices to the page of the first application.
Step 306: and determining P page access paths included in the user behavior line tree, wherein the P page access paths are different from each other, and P is a positive integer.
Step 307: and determining P user tags corresponding to the P page access paths.
Step 308: when the page access percentage of a first page is smaller than a first threshold value, deleting a first control which triggers and displays the first page in the first application and content associated with the first control, wherein the page access percentage of the first page is equal to the ratio of users who access the first page to users who do not access the first page in the P users, and the page of the first application comprises the first page.
Step 309: and when the page access percentage of the first page is greater than or equal to the first threshold and less than a second threshold, reserving the first control and the content associated with the first control.
Step 310: and when the page access percentage of the first page is greater than or equal to the second threshold and less than a third threshold, setting the first control at the main interface of the first application.
Step 311: responding to a first display request, where the first display request is used to request display of a first page access path, where a second page associated with the first page access path is accessed for a preset number of times, a page of the first application includes the second page, and the P page access paths include the first page access path.
Step 312: and marking the first page access path on the user behavior action line tree aiming at the first display request.
Step 313: responding to a second display request, where the second display request is used to request to display a second page access path in a preset access time period, and the P page access paths include the second page access path.
Step 314: and marking the second page access path on the user behavior action line tree aiming at the second display request.
It should be noted that, for the specific implementation process of the present embodiment, reference may be made to the specific implementation process described in the above method embodiment, and a description thereof is omitted here.
In accordance with the embodiments shown in fig. 2A and fig. 3, please refer to fig. 4, and fig. 4 is a schematic structural diagram of an electronic device according to an embodiment of the present application, and as shown in the figure, the electronic device includes a memory, a communication interface, and one or more programs, where the one or more programs are stored in the memory and configured to be executed by the processor, and the program includes instructions for performing the following steps:
acquiring N user behavior data of N electronic devices, wherein the N electronic devices are all provided with first applications, the user behavior data are generated when the electronic devices run the first applications, the N user behavior data are in one-to-one correspondence with the N electronic devices, and N is a positive integer;
extracting, cutting and combining the N user behavior data to generate a user behavior line-moving tree, wherein the user behavior line-moving tree is used for describing the access condition of the user associated with the N electronic devices to the page of the first application;
and displaying the user behavior line-moving tree.
In an implementation manner of the present application, in terms of acquiring N user behavior data of N electronic devices, the program includes instructions specifically configured to perform the following steps:
acquiring N user behavior data of N electronic devices based on a code point burying mode;
or acquiring N user behavior data of N electronic devices based on a visual embedded point mode;
or acquiring N user behavior data of N electronic devices based on a non-buried point mode.
In an implementation manner of the present application, in terms of extracting, cutting, and merging the N user behavior data to generate the user behavior line tree, the program includes instructions specifically configured to perform the following steps:
extracting N page access data sets from the N user behavior data, wherein each page access data set comprises at least one page access data, and the N page access data sets correspond to the N user behavior data one to one;
performing data processing on the N page access data sets to obtain N page access paths, wherein the page access paths are used for describing actual access paths of the user for the pages of the first application;
cutting each page access path into M sub-page access paths by using a cutting function, wherein each sub-page access path only comprises a path from a last access page to a next access page, and M is a positive integer;
and combining the same sub-page access paths in the N page access paths, and connecting the combined sub-page access paths to obtain the user behavior line tree.
In an implementation manner of the present application, after the user behavior contour tree is presented, the program includes instructions further configured to perform the following steps:
determining P page access paths included in the user behavior line tree, wherein the P page access paths are different from each other, and P is a positive integer;
determining P user tags corresponding to the P page access paths;
and adjusting the first application for P users corresponding to the P user tags.
In an implementation manner of the present application, in adjusting the first application for P users corresponding to the P user tags, the program includes instructions specifically configured to perform the following steps:
when the page access percentage of a first page is smaller than a first threshold value, deleting a first control which triggers the first page to be displayed in the first application and content associated with the first control, wherein the page access percentage of the first page is equal to the ratio of users who access the first page to users who do not access the first page in the P users, and the page of the first application comprises the first page;
when the page access percentage of the first page is greater than or equal to the first threshold and less than a second threshold, retaining the first control and the content associated with the first control;
and when the page access percentage of the first page is greater than or equal to the second threshold and less than a third threshold, setting the first control at the main interface of the first application.
In an implementation manner of the present application, after the user behavior contour tree is presented, the program includes instructions further configured to perform the following steps:
responding to a first display request, wherein the first display request is used for requesting to display a first page access path, a second page associated in the first page access path is accessed for a preset number of times, a page of the first application comprises the second page, and the P page access paths comprise the first page access path;
and marking the first page access path on the user behavior action line tree aiming at the first display request.
In an implementation manner of the present application, after the user behavior contour tree is presented, the program includes instructions further configured to perform the following steps:
responding to a second display request, wherein the second display request is used for requesting to display a second page access path aiming at a preset access time period, and the P page access paths comprise the second page access path;
and marking the second page access path on the user behavior action line tree aiming at the second display request.
It should be noted that, for the specific implementation process of the present embodiment, reference may be made to the specific implementation process described in the above method embodiment, and a description thereof is omitted here.
The above embodiments mainly introduce the scheme of the embodiments of the present application from the perspective of the method-side implementation process. It is understood that the electronic device comprises corresponding hardware structures and/or software modules for performing the respective functions in order to realize the above-mentioned functions. Those of skill in the art would readily appreciate that the various illustrative elements and algorithm steps described in connection with the embodiments disclosed herein may be implemented as hardware or combinations of hardware and computer software. Whether a function is performed as hardware or computer software drives hardware depends upon the particular application and design constraints imposed on the solution. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present application.
In the embodiment of the present application, the electronic device may be divided into the functional units according to the method example, for example, each functional unit may be divided corresponding to each function, or two or more functions may be integrated into one processing unit. The integrated unit can be realized in a form of hardware, and can also be realized in a form of a software functional unit. It should be noted that the division of the unit in the embodiment of the present application is schematic, and is only a logic function division, and there may be another division manner in actual implementation.
The following is an embodiment of the apparatus of the present application, which is used to execute the method implemented by the embodiment of the method of the present application. Referring to fig. 5, fig. 5 is a schematic structural diagram of a data visualization apparatus provided in an embodiment of the present application, and the data visualization apparatus is applied to a server, and the apparatus includes:
an obtaining unit 501, configured to obtain N user behavior data of N electronic devices, where each of the N electronic devices is installed with a first application, the user behavior data is generated when the electronic device runs the first application, the N user behavior data corresponds to the N electronic devices one to one, and N is a positive integer;
a processing unit 502, configured to extract, cut, and combine the N user behavior data to generate a user behavior line tree, where the user behavior line tree is used to describe an access condition of a user associated with the N electronic devices with respect to a page of the first application;
a display unit 503, configured to display the user behavior line-moving tree.
In an implementation manner of the present application, in terms of acquiring N user behavior data of N electronic devices, the acquiring unit 501 is specifically configured to:
acquiring N user behavior data of N electronic devices based on a code point burying mode;
or acquiring N user behavior data of N electronic devices based on a visual embedded point mode;
or acquiring N user behavior data of N electronic devices based on a non-buried point mode.
In an implementation manner of the present application, in terms of extracting, cutting, and merging the N user behavior data to generate the user behavior line tree, the processing unit 502 is specifically configured to:
extracting N page access data sets from the N user behavior data, wherein each page access data set comprises at least one page access data, and the N page access data sets correspond to the N user behavior data one to one;
performing data processing on the N page access data sets to obtain N page access paths, wherein the page access paths are used for describing actual access paths of the user for the pages of the first application;
cutting each page access path into M sub-page access paths by using a cutting function, wherein each sub-page access path only comprises a path from a last access page to a next access page, and M is a positive integer;
and combining the same sub-page access paths in the N page access paths, and connecting the combined sub-page access paths to obtain the user behavior line tree.
In an implementation manner of the present application, after displaying the user behavior line tree, the apparatus further includes:
a determining unit 504, configured to determine P page access paths included in the user behavior dynamic line tree, where the P page access paths are different from each other, and P is a positive integer; determining P user tags corresponding to the P page access paths;
an adjusting unit 505, configured to adjust the first application for P users corresponding to the P user tags.
In an implementation manner of the present application, in adjusting the first application for P users corresponding to the P user tags, the adjusting unit 505 is specifically configured to:
when the page access percentage of a first page is smaller than a first threshold value, deleting a first control which triggers the first page to be displayed in the first application and content associated with the first control, wherein the page access percentage of the first page is equal to the ratio of users who access the first page to users who do not access the first page in the P users, and the page of the first application comprises the first page;
when the page access percentage of the first page is greater than or equal to the first threshold and less than a second threshold, retaining the first control and the content associated with the first control;
and when the page access percentage of the first page is greater than or equal to the second threshold and less than a third threshold, setting the first control at the main interface of the first application.
In an implementation manner of the present application, after displaying the user behavior line tree, the apparatus further includes:
a labeling unit 506, configured to respond to a first display request, where the first display request is used to request to display a first page access path, a second page associated in the first page access path is accessed a preset number of times, a page of the first application includes the second page, and the P page access paths include the first page access path; and marking the first page access path on the user behavior action line tree aiming at the first display request.
In an implementation manner of the present application, after the user behavior line tree is displayed, the tagging unit 506 is further configured to respond to a second display request, where the second display request is used to request to display a second page access path within a preset access time period, and the P page access paths include the second page access path; and marking the second page access path on the user behavior action line tree aiming at the second display request.
It should be noted that the obtaining unit 501, the processing unit 502, the presenting unit 503, the determining unit 504, the adjusting unit 505, and the labeling unit 506 may be implemented by a processor.
Embodiments of the present application also provide a computer storage medium, where the computer storage medium stores a computer program for electronic data exchange, the computer program enabling a computer to execute part or all of the steps of any one of the methods described in the above method embodiments, and the computer includes an electronic device.
Embodiments of the present application also provide a computer program product comprising a non-transitory computer readable storage medium storing a computer program operable to cause a computer to perform some or all of the steps of any of the methods as described in the above method embodiments. The computer program product may be a software installation package, the computer comprising an electronic device.
It should be noted that, for simplicity of description, the above-mentioned method embodiments are described as a series of acts or combination of acts, but those skilled in the art will recognize that the present application is not limited by the order of acts described, as some steps may occur in other orders or concurrently depending on the application. Further, those skilled in the art should also appreciate that the embodiments described in the specification are preferred embodiments and that the acts and modules referred to are not necessarily required in this application.
In the foregoing embodiments, the descriptions of the respective embodiments have respective emphasis, and for parts that are not described in detail in a certain embodiment, reference may be made to related descriptions of other embodiments.
In the embodiments provided in the present application, it should be understood that the disclosed apparatus may be implemented in other manners. For example, the above-described embodiments of the apparatus are merely illustrative, and for example, the above-described division of the units is only one type of division of logical functions, and other divisions may be realized in practice, for example, a plurality of units or components may be combined or integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection of some interfaces, devices or units, and may be an electric or other form.
The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.
In addition, functional units in the embodiments of the present application may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit. The integrated unit can be realized in a form of hardware, and can also be realized in a form of a software functional unit.
The integrated unit may be stored in a computer readable memory if it is implemented in the form of a software functional unit and sold or used as a stand-alone product. Based on such understanding, the technical solution of the present application may be substantially implemented or a part of or all or part of the technical solution contributing to the prior art may be embodied in the form of a software product stored in a memory, and including several instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the above-mentioned method of the embodiments of the present application. And the aforementioned memory comprises: a U-disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a removable hard disk, a magnetic or optical disk, and other various media capable of storing program codes.
Those skilled in the art will appreciate that all or part of the steps in the methods of the above embodiments may be implemented by associated hardware instructed by a program, which may be stored in a computer-readable memory, which may include: flash Memory disks, Read-Only memories (ROMs), Random Access Memories (RAMs), magnetic or optical disks, and the like.
The foregoing detailed description of the embodiments of the present application has been presented to illustrate the principles and implementations of the present application, and the above description of the embodiments is only provided to help understand the method and the core concept of the present application; meanwhile, for a person skilled in the art, according to the idea of the present application, there may be variations in the specific embodiments and the application scope, and in summary, the content of the present specification should not be construed as a limitation to the present application.
Claims (8)
1. A data visualization method is applied to a server, and the method comprises the following steps:
acquiring N user behavior data of N electronic devices, wherein the N electronic devices are all provided with first applications, the user behavior data are generated when the electronic devices run the first applications, the N user behavior data are in one-to-one correspondence with the N electronic devices, and N is a positive integer;
extracting, cutting and combining the N user behavior data to generate a user behavior line-moving tree, wherein the user behavior line-moving tree is used for describing the access condition of the user associated with the N electronic devices to the page of the first application;
displaying the user behavior line-moving tree;
determining P page access paths included in the user behavior line tree, wherein the P page access paths are different from each other, and P is a positive integer;
determining P user tags corresponding to the P page access paths, and adjusting the first application for P users corresponding to the P user tags;
wherein the adjusting the first application for the P users corresponding to the P user tags includes:
when the page access percentage of a first page is smaller than a first threshold value, deleting a first control which triggers the first page to be displayed in the first application and content associated with the first control, wherein the page access percentage of the first page is equal to the ratio of users who access the first page to users who do not access the first page in the P users, and the page of the first application comprises the first page;
when the page access percentage of the first page is greater than or equal to the first threshold and less than a second threshold, retaining the first control and the content associated with the first control;
and when the page access percentage of the first page is greater than or equal to the second threshold and less than a third threshold, setting the first control at the main interface of the first application.
2. The method of claim 1, wherein obtaining N user behavior data for N electronic devices comprises:
acquiring N user behavior data of N electronic devices based on a code point burying mode;
or acquiring N user behavior data of N electronic devices based on a visual embedded point mode;
or acquiring N user behavior data of N electronic devices based on a non-buried point mode.
3. The method according to claim 1, wherein the extracting, cutting and merging the N user behavior data to generate the user behavior line tree includes:
extracting N page access data sets from the N user behavior data, wherein each page access data set comprises at least one page access data, and the N page access data sets correspond to the N user behavior data one to one;
performing data processing on the N page access data sets to obtain N page access paths, wherein the page access paths are used for describing actual access paths of the user for the pages of the first application;
cutting each page access path into M sub-page access paths by using a cutting function, wherein each sub-page access path only comprises a path from a last access page to a next access page, and M is a positive integer;
and combining the same sub-page access paths in the N page access paths, and connecting the combined sub-page access paths to obtain the user behavior line tree.
4. The method of claim 3, wherein after presenting the user behavioral tree, the method further comprises:
responding to a first display request, wherein the first display request is used for requesting to display a first page access path, a second page associated in the first page access path is accessed for a preset number of times, a page of the first application comprises the second page, and the P page access paths comprise the first page access path;
and marking the first page access path on the user behavior action line tree aiming at the first display request.
5. The method of claim 4, wherein after the presenting the user behavioral tree, the method further comprises:
responding to a second display request, wherein the second display request is used for requesting to display a second page access path aiming at a preset access time period, and the P page access paths comprise the second page access path;
and marking the second page access path on the user behavior action line tree aiming at the second display request.
6. A data visualization device is applied to a server, and the device comprises:
the electronic equipment comprises an acquisition unit, a processing unit and a processing unit, wherein the acquisition unit is used for acquiring N user behavior data of N pieces of electronic equipment, the N pieces of electronic equipment are all provided with first applications, the user behavior data are generated when the electronic equipment runs the first applications, the N pieces of user behavior data correspond to the N pieces of electronic equipment one by one, and N is a positive integer;
the processing unit is used for extracting, cutting and combining the N pieces of user behavior data to generate a user behavior line tree, and the user behavior line tree is used for describing the access condition of the user associated with the N pieces of electronic equipment to the page of the first application;
the display unit is used for displaying the user behavior line-moving tree;
a determining unit, configured to determine P page access paths included in the user behavior line tree, where the P page access paths are different from each other, and P is a positive integer; determining P user tags corresponding to the P page access paths, and adjusting the first application for P users corresponding to the P user tags;
in adjusting the first application for the P users corresponding to the P user tags, the adjusting unit is specifically configured to:
when the page access percentage of a first page is smaller than a first threshold value, deleting a first control which triggers the first page to be displayed in the first application and content associated with the first control, wherein the page access percentage of the first page is equal to the ratio of users who access the first page to users who do not access the first page in the P users, and the page of the first application comprises the first page;
when the page access percentage of the first page is greater than or equal to the first threshold and less than a second threshold, retaining the first control and the content associated with the first control;
and when the page access percentage of the first page is greater than or equal to the second threshold and less than a third threshold, setting the first control at the main interface of the first application.
7. An electronic device comprising a processor, a memory, a communication interface, and one or more programs stored in the memory and configured to be executed by the processor, the programs comprising instructions for performing the steps in the method of any of claims 1-5.
8. A computer-readable storage medium, characterized in that the computer-readable storage medium stores a computer program which is executed by a processor to implement the method of any of claims 1-5.
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| CN108574669A (en) * | 2017-03-10 | 2018-09-25 | 掌阅科技股份有限公司 | User behavior tree constructing method and device |
| CN110633390A (en) * | 2018-05-31 | 2019-12-31 | 北京嘀嘀无限科技发展有限公司 | Method and device for acquiring user behavior path |
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| US8250473B1 (en) * | 2009-02-03 | 2012-08-21 | Amazon Technoloies, Inc. | Visualizing object behavior |
| CN107633019A (en) * | 2017-08-24 | 2018-01-26 | 阿里巴巴集团控股有限公司 | A kind of page events acquisition method and device |
| CN108647133A (en) * | 2018-04-28 | 2018-10-12 | 深圳市小牛在线互联网信息咨询有限公司 | User's operation track recording method, device, storage medium and computer equipment |
| US20200050540A1 (en) * | 2018-08-10 | 2020-02-13 | International Business Machines Corporation | Interactive automation test |
| CN109242164B (en) * | 2018-08-22 | 2022-04-26 | 中国平安人寿保险股份有限公司 | Method and device for optimizing product path, computer storage medium and electronic equipment |
| CN110069463B (en) * | 2019-03-12 | 2021-07-16 | 北京奇艺世纪科技有限公司 | User behavior processing method, device electronic equipment and storage medium |
| CN111538645B (en) * | 2020-03-25 | 2022-03-08 | 平安科技（深圳）有限公司 | Data visualization method and related equipment |
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| CN108574669A (en) * | 2017-03-10 | 2018-09-25 | 掌阅科技股份有限公司 | User behavior tree constructing method and device |
| CN110633390A (en) * | 2018-05-31 | 2019-12-31 | 北京嘀嘀无限科技发展有限公司 | Method and device for acquiring user behavior path |
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