CN111694874A - User behavior analysis system based on big data platform - Google Patents
User behavior analysis system based on big data platform Download PDFInfo
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- CN111694874A CN111694874A CN202010556320.0A CN202010556320A CN111694874A CN 111694874 A CN111694874 A CN 111694874A CN 202010556320 A CN202010556320 A CN 202010556320A CN 111694874 A CN111694874 A CN 111694874A
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- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
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- G06F16/2457—Query processing with adaptation to user needs
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- G06F16/24564—Applying rules; Deductive queries
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Abstract
The invention discloses a user behavior analysis system based on a big data platform, which comprises a data acquisition module, a data adaptation module, a data storage module, a data processing module, a dynamic analysis module and a result generation module, the data acquisition module is used for acquiring original data, the original data is source layer data of a service system, the data adaptation module is used for establishing an adaptation model for data conversion of the original data, and obtains target data through conversion, the data storage module performs multi-channel and multi-dimensional storage integration on the target data in a wide table form, the data processing module is used for forming paste source longitudinal table behavior index data according to the target data form, the dynamic analysis module is used for analyzing user behaviors to obtain a user motivation result, and the result generation module is used for integrating different source pasting behaviors of the user to form a fusion behavior result.
Description
Technical Field
The invention relates to the technical field of big data analysis, in particular to a user behavior analysis system based on a big data platform.
Background
For the field of big data analysis, in order to deepen the understanding of users, 360 panoramic pictures of users are constructed in a dispute. Traditional user portrayal is often realized by processing index labels such as user natural attributes, transaction/consumption behaviors, user values and the like, and the current state of a user is reflected. And the user behavior track is the direct embodiment of the user appeal and preference. The traditional label belongs to static depiction of user characteristics, omits time sequence-based user behavior analysis in perception of dynamic behavior tracks of users, and is difficult to realize deep insight of user behaviors.
Disclosure of Invention
In order to solve the problems, the invention provides a user behavior analysis system based on a big data platform.
The invention adopts the following technical scheme:
a user behavior analysis system based on a big data platform comprises a data acquisition module, a data adaptation module, a data storage module, a data processing module, a dynamic analysis module and a result generation module, the data acquisition module is used for acquiring original data, the original data is source layer data of a service system, the data adaptation module is used for establishing an adaptation model for data conversion of the original data, and obtains target data through conversion, the data storage module performs multi-channel and multi-dimensional storage integration on the target data in a wide table form, the data processing module is used for forming paste source longitudinal table behavior index data according to the target data form, the dynamic analysis module is used for analyzing user behaviors to obtain a user motivation result, and the result generation module is used for integrating different source pasting behaviors of the user to form a fusion behavior result.
Preferably, the fitting model comprises:
receiving original data conversion requests from different service systems;
analyzing and processing the original data and carrying out longitudinal table rule configuration on the original data based on an SQL script;
carrying out cache processing on the analyzed data and carrying out operation stage configuration on the configured data;
converting the cached data, storing the converted data and executing the data configured in the operating stage;
the batch data conversion script set is automatically executed.
Preferably, the system further comprises a service rule configuration module, wherein the service rule configuration module is used for providing a rule maintenance interface for a user, and defining, adjusting and maintaining the service rule.
Preferably, the result generating module includes a behavior integration submodule, a trajectory query submodule, and an API interface, where the behavior integration submodule is configured to integrate different source pasting behaviors of the user to form a fusion behavior result, the trajectory query submodule is configured to visualize the source pasting behavior and the fusion behavior result, and the API interface is configured to be queried by the third-party service system.
Preferably, the dynamic analysis module is further configured to generate an optimized path result, and present the optimized path result in the form of a mor-base graph.
After adopting the technical scheme, compared with the background technology, the invention has the following advantages:
according to the invention, through the user behavior analysis based on the time sequence in the perception of the dynamic behavior track of the user, the deep insight of the user behavior can be realized.
Drawings
FIG. 1 is a block diagram of the system of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, the present invention is described in further detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.
Examples
The invention discloses a user behavior analysis system based on a big data platform, which comprises a data acquisition module, a data adaptation module, a data storage module, a data processing module, a dynamic analysis module, a business rule configuration module and a result generation module, wherein the data acquisition module comprises a data acquisition module, a data adaptation module, a data storage module, a data processing module, a dynamic analysis module, a business rule configuration module and a result generation module, and the data acquisition:
the data acquisition module is used for acquiring original data, and the original data are source layer data of the service system.
The data adaptation module is used for establishing an adaptation model for performing data conversion on original data and obtaining target data through conversion. The adaptation model comprises: receiving original data conversion requests from different service systems; analyzing and processing the original data and carrying out vertical table ((users, channels, time, events and the like)) rule configuration on the original data based on the SQL script; carrying out cache processing on the analyzed data and carrying out operation stage configuration on the configured data; converting the cached data, storing the converted data and executing the data configured in the operating stage; and automatically executing the batch data conversion script set, storing the execution result information of the conversion script and ensuring quick operation and maintenance.
The data storage module performs multi-channel and multi-dimensional storage integration on the target data in a wide table mode.
And the data processing module is used for forming paste source longitudinal table behavior index data according to the target data form. Deep insight is conducted on the user behavior stage, it is shown that a person does something at a certain time point in a certain channel, dynamic perception analysis is conducted, and finally a user shape vertical table (longitudinally describing the user behavior characteristics) is formed.
The dynamic analysis module is used for analyzing user behaviors, obtaining a user motivation result, generating an optimized path result and displaying the optimized path result in a form of a Morse base diagram. From the login of the website/APP to the successful payment of the user, the processes of home page browsing, commodity searching, shopping cart adding, order submitting, order payment and the like are required. The actual purchasing process of the user is an interlaced and repeated process, for example, after the order is submitted, the user may return to the home page to continue searching for the goods, or may cancel the order, and there is a different motivation behind each access path. After the funnel analysis and other analysis models are matched for deep analysis, the overall conversion rate of the user can be estimated, and the user motivation can be quickly found. The optimized path result is to optimize and lead the user to the optimal path or desired path.
The business rule configuration module is used for providing a rule maintenance interface for a user and defining, adjusting and maintaining the business rules.
The result generation module is used for integrating different source pasting behaviors of the user to form a fusion behavior result. The result generation module comprises a behavior integration submodule, a track query submodule and an API (application programming interface), wherein the behavior integration submodule is used for integrating different source pasting behaviors of a user to form a fusion behavior result, the track query submodule is used for realizing visualization of the source pasting behaviors and the fusion behavior result, and the API is used for being queried by a third-party service system.
The above description is only for the preferred embodiment of the present invention, but the scope of the present invention is not limited thereto, and any changes or substitutions that can be easily conceived by those skilled in the art within the technical scope of the present invention are included in the scope of the present invention. Therefore, the protection scope of the present invention shall be subject to the protection scope of the claims.
Claims (5)
1. A user behavior analysis system based on a big data platform is characterized by comprising a data acquisition module, a data adaptation module, a data storage module, a data processing module, a dynamic analysis module and a result generation module, the data acquisition module is used for acquiring original data, the original data is source layer data of a service system, the data adaptation module is used for establishing an adaptation model for data conversion of the original data, and obtains target data through conversion, the data storage module performs multi-channel and multi-dimensional storage integration on the target data in a wide table form, the data processing module is used for forming paste source longitudinal table behavior index data according to the target data form, the dynamic analysis module is used for analyzing user behaviors to obtain a user motivation result, and the result generation module is used for integrating different source pasting behaviors of the user to form a fusion behavior result.
2. The big data platform-based user behavior analysis system of claim 1, wherein the adaptation model comprises:
receiving original data conversion requests from different service systems;
analyzing and processing the original data and carrying out longitudinal table rule configuration on the original data based on an SQL script;
carrying out cache processing on the analyzed data and carrying out operation stage configuration on the configured data;
converting the cached data, storing the converted data and executing the data configured in the operating stage;
the batch data conversion script set is automatically executed.
3. The big data platform-based user behavior analysis system according to claim 1 or 2, wherein: the system also comprises a service rule configuration module, wherein the service rule configuration module is used for providing a rule maintenance interface for a user and defining, adjusting and maintaining the service rule.
4. The big data platform-based user behavior analysis system according to claim 1 or 2, wherein: the result generation module comprises a behavior integration submodule, a track query submodule and an API (application programming interface), wherein the behavior integration submodule is used for integrating different source pasting behaviors of a user to form a fusion behavior result, the track query submodule is used for realizing visualization of the source pasting behaviors and the fusion behavior result, and the API is used for being queried by a third-party service system.
5. The big data platform-based user behavior analysis system of claim 4, wherein: the dynamic analysis module is also used for generating an optimized path result and displaying the optimized path result in a form of a mor-base graph.
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| CN114663133A (en) * | 2022-03-02 | 2022-06-24 | 厦门文杉信息科技有限公司 | User behavior analysis method based on TSDB technology |
| CN115081544A (en) * | 2022-07-22 | 2022-09-20 | 国网浙江省电力有限公司 | Power grid equipment panoramic model data processing method based on multi-source data fusion |
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