A user behavior analysis system based on Bayesian classification algorithm
A Bayesian classification and Bayesian classifier technology, applied in the field of data analysis, can solve the problems of inaccurate results, low efficiency, and inability to make good use of a large number of data samples, so as to improve analysis efficiency and accuracy Sex, reduce the effect of manual intervention
Inactive Publication Date: 2018-12-25
重庆富民银行股份有限公司
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Problems solved by technology
[0003] Traditional user behavior analysis mostly relies on manual analysis, which is inefficient. When the amount of user behavior data is small, it can still meet the needs, but at the same time it also brings the problem of inaccurate results; however, with the development of e-commerce in China, More and more users accept services through convenient forms such as webpages and mobile APPs, and their behavior data is also easier to obtain and record. The method cannot make good use of a large number of data samples at all, and there is an urgent need for a user behavior analysis system that can give full play to the advantages of a large number of data samples and improve analysis efficiency and accuracy
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[0027] The following is further described in detail through specific implementation methods:
[0028] The user behavior analysis system based on the Bayesian classification algorithm in the embodiment is basically as attached figure 1 The part inside the dotted box in the center includes data acquisition module, database module, training module, prediction module and recursive module.
[0029] The specific work process of this embodiment is as follows:
[0030] First, the data acquisition module calls the interface called by the user when using the application program through the application performance management system to represent the user operation record. The application performance management (APM) system monitors all-round applications running online, especially records the interfaces called by users for each operation, and each interface corresponds to a specific operation function in the application program, so By identifying the result of the call, it is possible t...
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The invention discloses a user behavior analysis system based on a Bayesian classification algorithm. The system comprises a training module that calculates occurrence probabilities of each user operation and conditional probabilities between each user operation to train a Bayesian classifier for judging a user's next operation according to the current user operation; a prediction module, configured to use the Bayesian classifier to judge the next operation of the user according to the input current operation of the user; a recursion module, configured to input the classification module with the next operation of the user as the current operation of the user until the next operation of the user is the designated end operation, and used for sequentially storing a sequence of user behaviorsformed by each operation. With the advantages of a large number of data samples, the system improves the accuracy and efficiency of analysis of the technical effect.
Description
technical field [0001] The present invention relates to the technical field of data analysis, in particular to a user behavior analysis system based on Bayesian classification algorithm Background technique [0002] Today's service industry attaches great importance to the optimization of service processes, and the results of user behavior analysis are often used as the basis for optimization. [0003] The traditional user behavior analysis mostly relies on manual analysis, which is inefficient. When the amount of user behavior data is small, it can still meet the needs, but at the same time it also brings the problem of inaccurate results; however, with the development of e-commerce in China, More and more users accept services through convenient forms such as webpages and mobile APPs, which makes their behavior data easier to obtain and record. The method cannot make good use of a large number of data samples at all, and there is an urgent need for a user behavior analysi...
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CPCG06F18/24155
Inventor 杨斌
Owner 重庆富民银行股份有限公司