...Jiaqi Liu; Jialong Jiang; Mingwei Lin; Hong Chen; Zeshui Xu Purpose When recommending products to consumers, it is important to be able to accurately predict how consumers will rate them. However, existing collaborative filtering models are difficult to achieve a balance between rating prediction...

... benchmark datasets, and the results are compared with many existing recommender systems (RSs). Design/methodology/approach RSs produce quality information filtering to the users based on their preferences. In the contemporary era, online RSs-based collaborative filtering (CF) techniques are widely used...