User dynamic interest model establishing method based on big data technology

Abstract

The invention belongs to the technical fields of big data and Internet information personalized service and particularly relates to a user dynamic interest model establishing method based on the big data technology. According to the method, during user data collection, in additional to user properties and behavior data, user big data, such as user behavior context data and user behavior interaction object information, is also collected. Through user big data collection, comprehensive user data is provided for user interest model establishment; in order to improve the calculation performance and result quality of user data analysis, at a data preprocessing stage, a horizontal data screening method and a vertical data screening method are adopted, the data irrelevant to user interests is filtered, and therefore the user data involved in analytical calculation has higher relevancy; and machine learning is performed on the data in a cluster of each point-of-interest of a user, an interestvalue prediction function of the user is acquired from the data, the interest value of the user on each point-of-interest is measured, and therefore precise prediction of the user interests is realized.

Description

technical field [0001] The invention belongs to the technical field of big data and Internet information services, and in particular relates to a method for establishing a user dynamic interest model based on big data technology. Background technique [0002] With the rapid development of the scale of the Internet, there are more and more ways for people to obtain information, but all kinds of information on the Internet are extremely complicated, which has far exceeded the limit that individuals can accept and process. At the same time, the explosive growth of information makes it more difficult for users to find what they need from the massive amount of information. Obtaining information is a basic need for human beings to understand the world, survive and develop, but the "data overload" in the Internet prevents us from effectively and quickly obtaining the required information. As a result, various personalized services based on user data emerged as the times require, b...

AI Technical Summary

Problems solved by technology

[0006] To sum up, the traditional user interest model methods cannot meet the exponential growth of data analysis processing and personalized service requirements in terms of interest diversity, accuracy, and timeliness, and there are also differences in the analysis of different user interests. limitations

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