Collaborative Filtering Hybrid Recommendation Algorithm based on Optimal Weight
Qiaochu Yu, Mingqing Zhao, Yuting Luo · 2022 International Conference on Computer Engineering and Artificial Intelligence (ICCEAI) · 2022
A collaborative filtering hybrid recommendation algorithm based on the idea of optimal combination prediction (BEST-CF) is proposed, and the effectiveness of BEST-CF is verified on Movielens 100K data set using the optimal combination of the user-based collaborative filtering recommendation algorithm (User-CF) and the item-based collaborative filtering recommendation algorithm (Item-CF). Experiments results show that the BEST-CF algorithm significantly improves the rating prediction accuracy and can enhance the recommendation quality.