Boosting Item Coverage in Session-Based Recommendation.
Richard AnarfiAmartya SenKenneth K. FletcherPublished in: SCC (2022)
Keyphrases
- personalized recommendation
- user preferences
- item recommendation
- recommender systems
- collaborative filtering
- recommendation algorithms
- cold start problem
- latent factor models
- cold start
- recommendation systems
- hybrid recommendation
- user ratings
- long tail
- matrix factorization
- item based collaborative filtering
- ensemble methods
- ensemble learning
- feature selection
- collaborative filtering recommendation algorithm
- making recommendations
- personal preferences
- learning algorithm
- user similarity
- tag recommendation
- base classifiers
- rating prediction
- user feedback
- noise tolerant
- data sparsity
- product recommendation
- collaborative recommendation
- combining multiple
- user interests
- purchase behavior
- user behavior
- data sets