Research on a personalized recommendation algorithm

Abstract

Recommendation system is a new technology to recommend products for customers from huge amounts of products, which infers those objective users’ preferences based on their personal information or online behavior. This paper studied the main personalized recommendation technology for current E-commerce. It proposed a hybrid recommendation algorithm based on opinion mining. This system combines web data mining technology, that is, takes advantage of user-generated-content by mining customers’ online reviews. It is well known that online reviews can directly reflect customer’s real emotion and expectation, so it’s appropriate to extract a customer’s latent interest and preference from his/her reviews, thus refine recommendation and improve accuracy. Meanwhile, an experiment was conducted and the result demonstrated that our system could generate a reliable and realistic recommendation.