Attribute-based evaluation for recommender systems: incorporating user and item attributes in evaluation metrics.
Pablo SánchezAlejandro BellogínPublished in: RecSys (2019)
Keyphrases
- evaluation metrics
- recommender systems
- user preferences
- collaborative filtering
- cold start problem
- user ratings
- precision and recall
- item recommendation
- evaluation methods
- cold start
- evaluation framework
- recommendation algorithms
- learning to rank
- average precision
- active user
- user profiles
- evaluation measures
- user model
- user similarity
- personalized recommendation
- evaluation methodology
- matrix factorization
- personal preferences
- recommendation systems
- user interests
- relevance assessments
- query suggestion
- relevance judgments
- relevance feedback
- data sparsity
- user feedback
- machine learning
- web search
- evaluation method