Item-Ranking Promotion in Recommender Systems.
Hong-Kyun BaeHae-Ri JangYang-Sae MoonSang-Wook KimPublished in: WWW (Companion Volume) (2024)
Keyphrases
- recommender systems
- rating prediction
- user similarity
- cold start problem
- user preferences
- collaborative filtering
- implicit feedback
- personalized recommendation
- user feedback
- preference learning
- cold start
- item based collaborative filtering
- user ratings
- hybrid recommendation
- learning to rank
- item recommendation
- ranking algorithm
- recommendation algorithms
- ranking functions
- information overload
- personalized search
- user modeling
- matrix factorization
- web search
- latent factor models
- active user
- sentiment analysis
- customer reviews
- user specific
- link analysis
- user profiles
- user interests
- contextual information
- personal preferences
- user profiling
- recommendation quality
- information filtering
- data sparsity
- rank aggregation
- user model
- user behavior