Novel and Diverse Recommendations by Leveraging Linear Models with User and Item Embeddings.
Alfonso LandinJavier ParaparÁlvaro BarreiroPublished in: ECIR (2) (2020)
Keyphrases
- linear models
- user preferences
- recommender systems
- user ratings
- variable selection
- item recommendation
- linear model
- making recommendations
- active user
- personalized recommender systems
- recommendation algorithms
- linear regression
- collaborative filtering
- recommendation systems
- user similarity
- gaussian processes
- personalized recommendation
- nonlinear models
- statistical model
- active learning
- feature space