KMulE: a framework for user-based comparison of recommender algorithms.
Alan SaidErnesto William De LucaBenjamin KilleBrijnesh J. JainImmo MicusSahin AlbayrakPublished in: IUI (2012)
Keyphrases
- recommender systems
- optimization problems
- learning algorithm
- user defined constraints
- recommendation algorithms
- collaborative filtering
- computational complexity
- computational cost
- user interaction
- user preferences
- user defined
- context dependent
- data sets
- data structure
- web services
- benchmark datasets
- filtering algorithm
- complexity analysis
- user centric
- computer vision
- pruning strategy