mRHR: A Modified Reciprocal Hit Rank Metric for Ranking Evaluation of Multiple Preferences in Top-N Recommender Systems.
Serhat PekerAltan KoçyigitPublished in: AIMSA (2016)
Keyphrases
- recommender systems
- ranked list
- user preferences
- preference learning
- evaluation metrics
- collaborative filtering
- evaluation measures
- user feedback
- rank order
- rank aggregation
- graded relevance
- xml retrieval
- user modeling
- decision making
- search queries
- matrix factorization
- metric space
- ranking functions
- ranking algorithm
- pairwise comparisons
- highly ranked
- search engine