PERSONALIZED PRODUCT RECOMMENDATION BASED ON BIG DATA MINING

Yigang Tang ； Xiaolan Xie ； Yunlong Cui ； Xinfei Li

《IETI Transactions on Engineering Research and Practice》 6卷1期 (2022/07) Pp. 38-45

https://doi.org/10.6723/TERP.202207_6(1).0004

摘要

With the wide application of e-commerce in all walks of life and various fields, the personalized recommendation of e-commerce in the era of big data has also become a focus of attention in today's society. Compared with the previous ones, e-commerce websites have undergone qualitative changes. While providing users with the services and products they need, e-commerce websites make it more difficult for users to quickly and accurately find products that meet their needs in the massive information. Based on the research on big data technology, an extensive collection of users' massive data for analysis, and accurate addition of personalized information recommendation services for different users in the e-commerce service model, through personalized recommendation, e-commerce websites can take the initiative to Users recommend the products they need and the content they prefer. On the one hand, it helps users to quickly and accurately find products that meet their needs and improves the user experience. On the other hand, it also improves the quality of service and improves the competitiveness of enterprises in many markets.

關鍵字

Big data ； recommended products ； data mining ； feature selection