Rate it again: increasing recommendation accuracy by user re-rating.
Xavier AmatriainJosep M. PujolNava TintarevNuria OliverPublished in: RecSys (2009)
Keyphrases
- collaborative filtering
- recommender systems
- user preferences
- recommendation quality
- recommendation algorithms
- user ratings
- recommendation systems
- collaborative recommendation
- matrix factorization
- computational cost
- item recommendation
- collaborative filtering algorithms
- user modeling
- user profiles
- high accuracy
- prediction accuracy
- personalized recommendation
- cold start
- collaborative filtering recommender systems
- active user
- computational complexity
- user feedback
- user behavior
- data sparsity
- cold start problem
- error rate
- user interface
- online dating
- user similarity
- product recommendation
- helping users
- estimation error
- user satisfaction
- user interaction
- user experience
- relevance feedback
- demographic information
- long tail
- end users
- web page recommendation
- user profiling