Users and Noise: The Magic Barrier of Recommender Systems.
Alan SaidBrijnesh J. JainSascha NarrTill PlumbaumPublished in: UMAP (2012)
Keyphrases
- recommender systems
- collaborative filtering
- user profiles
- cold start problem
- information overload
- user interests
- user model
- user modeling
- recommendation systems
- user generated content
- data sparsity
- matrix factorization
- noise level
- information filtering
- trust aware
- recommendation quality
- cold start
- user ratings
- end users
- user preferences
- content based filtering
- implicit feedback
- signal to noise ratio
- trust propagation
- item based collaborative filtering
- collaborative recommender systems
- social media
- collaborative filtering recommender systems
- user profiling
- user requirements
- web search engines
- website
- log data
- user behavior
- user feedback
- noise reduction