I Like It... I Like It Not: Evaluating User Ratings Noise in Recommender Systems.
Xavier AmatriainJosep M. PujolNuria OliverPublished in: UMAP (2009)
Keyphrases
- recommender systems
- user ratings
- collaborative filtering
- matrix factorization
- prediction accuracy
- collaborative recommender systems
- data sparsity
- user preferences
- rating prediction
- recommendation quality
- collaborative filtering algorithms
- user interests
- information overload
- cold start
- personalized recommendation
- user model
- missing data
- signal to noise ratio
- user profiles
- machine learning
- user feedback
- information filtering
- data analysis
- noise reduction
- opinion mining
- transfer learning
- natural language processing
- information extraction
- social networks