Research on Personalized Recommendation System Based on Big Data Mining Technology
Hongwei Li · 2020 5th International Conference on Mechanical, Control and Computer Engineering (ICMCCE) · 2020
The rapid popularization of the Internet has promoted the transformation of the Internet industry, and a large number of new businesses have emerged. It has ushered in new development opportunities and challenges in all walks of life. Information technology is deeply integrated with human production and life, global data is showing explosive growth, and the problem of information explosion is getting worse. With the increasing volume of data, people's ability to understand and process data is limited. How to help individuals effectively manage these data and help them obtain the information they need is extremely important. Researchers try to use information filtering technology to solve the problem of information overload. Big data mining technology represented by personalized recommendation has become an important tool. This article discusses related theories such as big data and big data mining technology, and uses it as a guide basis, combined with related recommendation algorithms, to build a personalized recommendation system based on big data mining technology. The article analyzes the application cases of personalized information recommendation systems in some industries, discusses the processing methods and basic processes of massive data mining, analyzes the basic framework of personalized recommendation systems, and provides references for data mining and application researchers and related workers.