Collaborative Filtering Recommendation Algorithm for Artificial Intelligence E-Commerce Platforms Based on Big Data

In the past few years, the rapid development of big data and artificial intelligence technology has brought unprecedented opportunities and challenges to e-commerce. How to predict the future purchase intention of users according to the past behavior data, so as to achieve accurate recommendation, is an important issue that e-commerce enterprises need to solve. The e-commerce platform recommendation algorithm based on collaborative filtering has become an effective means to solve this problem. The research results have indicated that the artificial intelligence e-commerce platform based on big data could achieve a recommendation accuracy of up to 95.8%. The artificial intelligence e-commerce platform based on big data can improve user satisfaction and retention rate, with obvious advantages in recommendation accuracy compared to traditional algorithms.