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User behavior data analysis model and construction method thereof

A data analysis and construction method technology, applied in the field of data analysis, can solve problems such as heavy workload, achieve high accuracy, improve personalized recommendation, and improve the effect of precise recommendation

Inactive Publication Date: 2018-09-28
GLOBAL TONE COMM TECH
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AI Technical Summary

Problems solved by technology

[0007] The difficulty to solve is to establish and enrich the interest classification of various things in the platform, which is a relatively heavy workload

Method used

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  • User behavior data analysis model and construction method thereof
  • User behavior data analysis model and construction method thereof
  • User behavior data analysis model and construction method thereof

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Embodiment Construction

[0036] In order to make the object, technical solution and advantages of the present invention more clear, the present invention will be further described in detail below in conjunction with the examples. It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention.

[0037] The present invention can construct a user interest model by analyzing user behavior data, and the model can capture changes in user interest in time and adjust the ordering of personalized interest tags, thereby achieving the effect of improving accurate and personalized recommendations.

[0038] The user behavior data analysis model provided by the embodiment of the present invention: tKVn. KVn represents the user interest model, A1-An represents the weight of each user's interest, and t represents time; as time changes, the user's interest changes, so it is necessary to collect and analyze user behavior in real ti...

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Abstract

The invention belongs to the technical field of data analysis, and discloses a user behavior data analysis model and a construction method thereof. The user behavior data analysis model is tKVn(A1, A2, ..., An), wherein KVn represents a user interest model, A1 to An represents interest weights of users, t represents time; and the user interest model is expressed as KV: (A1, A2, ..., An). Accordingto the user behavior data analysis model, the user interest model can be constructed through analyzing user behavior data, and the model is capable of timely capturing interest changes of users and adjusting sorting of personalized interest labels, so as to achieve the effects of improving accurate recommendation and personalized recommendation. The user behavior data analysis model can be specifically applied to recommendation of advertisements, similar articles and commodities loved by users.

Description

technical field [0001] The invention belongs to the technical field of data analysis, and in particular relates to a user behavior data analysis model and a construction method thereof. Background technique [0002] At present, the existing technologies commonly used in the industry are as follows: With the continuous expansion of the scale of the website, the channels covered are becoming more and more complicated, and the content contained in it is also increasing day by day. Under such a big data information platform, how to better serve users has become the primary task of each portal website. From the perspective of user needs, the criterion for judging content is whether the user is interested in the content. However, how to accurately match user interests is relatively difficult, especially for non-text content such as pictures and videos, because of the lack of descriptive text itself, interest tags have become a very important semantic material. [0003] In summ...

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Application Information

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IPC IPC(8): G06F17/30
Inventor 王建华李慧都程国艮
Owner GLOBAL TONE COMM TECH
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