Item-side ranking regularized distillation for recommender system.
SeongKu KangJunyoung HwangWonbin KweonHwanjo YuPublished in: Inf. Sci. (2021)
Keyphrases
- recommender systems
- user preferences
- implicit feedback
- user similarity
- cold start problem
- rating prediction
- collaborative filtering
- personalized recommendation
- user feedback
- preference learning
- cold start
- learning to rank
- ranking algorithm
- user ratings
- web search
- hybrid recommendation
- active user
- matrix factorization
- information filtering
- latent factor models
- recommendation algorithms
- personalized search
- user behavior
- user specific
- ranking functions
- user profiles
- item recommendation
- least squares
- link analysis
- personal preferences
- recommendation systems
- trust propagation
- information overload
- decision trees
- user interests
- relevance feedback
- active learning
- pairwise