Abstract: Recommender systems typically collect and analyze user data, which raises the risk of privacy invasion. User-sensitive information can be leaked from the user portrait, e.g., user embedding, ...
Abstract: Recommender systems using ranking-oriented collaborative filtering are currently widely used. One widely used approach is a memory-based model with ranking orientation. Recently, a ranking ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results
Feedback