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User access path prediction method

A technology of access paths and prediction methods, applied in special data processing applications, instruments, website content management, etc., can solve problems such as the exponential increase in the number of codes and the long length of binary position codes.

Inactive Publication Date: 2018-06-12
SICHUAN CHANGHONG ELECTRIC CO LTD
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Problems solved by technology

[0003] The PLWAP algorithm based on frequent path mining compresses the data in a tree, but uses binary to encode the position of the nodes in the tree. When the amount of data is too large, the length of the binary position encoding will become unimaginably long, and the encoding The number will also show the defect that the exponential trend of 2 will increase

Method used

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Embodiment

[0044] Now do data preprocessing on a certain log file to get the user's access sequence set, as shown in the second column of Table 1, here specify the minimum support threshold λ=0.75, where a, b, c, d, e, f Represents the pages requested by the user, and the access sequence from left to right represents the sequence of pages requested by the user in chronological order.

[0045] Table 1 User Access Sequence Set with λ=0.75

[0046]

[0047] First, get the frequent access sequence set: scan the access sequence set, and count the number of occurrences of each access page in the access sequence set, such as image 3 shown on the left. Since the minimum support threshold λ=0.75, only when the number of times is greater than or equal to the minimum support threshold * the number of access sequence sets (4*0.75, that is, 3) can be regarded as frequent items (or frequent access pages), delete non- Frequent items, to obtain frequently accessed sequence sets, such as image 3 ...

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Abstract

The invention relates to the field of computer software, and discloses a user access path prediction method. The method is used for better predicting user access paths. According to the method, firstly, a user access sequence set is constructed from a log file, and then on the sequence set, an improved PLWAP algorithm is used for conducting frequent path mining to obtain frequent access paths; therefore, a page which a user accesses in the next step is predicted, and suggestions are provided for page recommendation and website topology structure adjustment. The method is suitable for user access path prediction.

Description

technical field [0001] The invention relates to the field of computer software, in particular to a user access path prediction method. Background technique [0002] The sequence of page clicks that a user generates while on a website is called a user access path. Frequent pattern mining is performed on each user's access path to predict user behavior. For website structure optimization and web page recommendation, WEB mining is to perform data mining on the log data generated by the server to find out useful patterns. [0003] The PLWAP algorithm based on frequent path mining compresses the data in a tree, but uses binary to encode the position of the nodes in the tree. When the amount of data is too large, the length of the binary position encoding will become unimaginably long, and the encoding The number of will also show the defect that the exponential trend of 2 will increase. Contents of the invention [0004] The technical problem to be solved by the present inve...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/30
CPCG06F16/2246G06F16/2465G06F16/972
Inventor 刘明鸣胡涛
Owner SICHUAN CHANGHONG ELECTRIC CO LTD
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