When Newer is Not Better: Does Deep Learning Really Benefit Recommendation From Implicit Feedback?
Yushun DongJundong LiTobias SchnabelPublished in: CoRR (2023)
Keyphrases
- deep learning
- implicit feedback
- recommender systems
- collaborative filtering
- explicit feedback
- eye tracking
- user behavior
- personalized recommendation
- user feedback
- matrix factorization
- unsupervised learning
- item recommendation
- web search
- contextual information
- relevance feedback
- search result
- machine learning
- weakly supervised
- user preferences
- mental models
- recommendation systems
- learning to rank
- information overload
- principal component analysis
- semi supervised
- feature vectors