Investigating Accuracy-Novelty Performance for Graph-based Collaborative Filtering.
Minghao ZhaoLe WuYile LiangLei ChenJian ZhangQilin DengKai WangXudong ShenTangjie LvRunze WuPublished in: CoRR (2022)
Keyphrases
- collaborative filtering
- high accuracy
- prediction accuracy
- recommender systems
- computational cost
- deal with information overload
- matrix factorization
- search engine
- recommendation quality
- error rate
- computational efficiency
- precision and recall
- improved accuracy
- user preferences
- collaborative filtering algorithms
- user ratings
- real time
- classification accuracy
- machine learning