AR-CF: Augmenting Virtual Users and Items in Collaborative Filtering for Addressing Cold-Start Problems.
Dong-Kyu ChaeJihoo KimDuen Horng ChauSang-Wook KimPublished in: SIGIR (2020)
Keyphrases
- collaborative filtering
- cold start problem
- data sparsity
- recommender systems
- cold start
- augmented reality
- matrix factorization
- item based collaborative filtering
- personalized recommendation
- recommendation quality
- recommendation systems
- user ratings
- collaborative recommendation
- implicit feedback
- deal with information overload
- latent factor models
- transfer learning
- user profiles
- user preferences
- collaborative filtering algorithms
- active user
- user interests
- user model
- product recommendation
- virtual environment
- user interface
- website