A new similarity measure to increase coverage of rating predictions for collaborative filtering.
Kyoungok KimPublished in: Appl. Intell. (2023)
Keyphrases
- collaborative filtering
- user ratings
- similarity measure
- similarity computation
- recommender systems
- user based collaborative filtering
- collaborative filtering recommender systems
- matrix factorization
- pearson correlation coefficient
- user preferences
- user similarity
- rating prediction
- prediction accuracy
- data sparsity
- recommendation systems
- netflix prize
- mutual information
- personalized recommendation
- recommendation quality
- item based collaborative filtering
- user profiles
- probabilistic matrix factorization
- making recommendations
- cosine similarity
- demographic information
- collaborative recommendation
- learning algorithm
- transfer learning
- similarity search
- distance measure
- pairwise