Explicit or implicit feedback? engagement or satisfaction?: a field experiment on machine-learning-based recommender systems.
Qian ZhaoF. Maxwell HarperGediminas AdomaviciusJoseph A. KonstanPublished in: SAC (2018)
Keyphrases
- implicit feedback
- recommender systems
- explicit feedback
- machine learning
- eye tracking
- collaborative filtering
- user behavior
- user feedback
- matrix factorization
- personalized ranking
- web search
- relevance feedback
- cold start
- contextual information
- personalized recommendation
- search result
- learning algorithm
- active learning
- data mining
- recommendation quality
- latent factors
- feature selection
- user preferences
- information overload
- multimedia
- learning environment
- feature space
- user interaction
- information extraction
- supervised learning