Recommendation Algorithm based on Relative Features

Abstract

Ratings and reviews on e-commerce platforms often contain a lot of useful information. In recent years, researchers aim to mine more information from ratings and reviews to improve recommendation performance. However, researchers have not fully considered the effect of mining the relationship between comments on feature representation. On the basis of previous research, this paper proposes a deep recommendation model based on relative features. We mine the relative attention between comments, calculate the relative features of users and products based on the attention, and use the relative features to complete recommendation. Experiments show that the effect of the model proposed in this paper is better than the previous models.