When Newer is Not Better: Does Deep Learning Really Benefit Recommendation From Implicit Feedback?
Yushun DongJundong LiTobias SchnabelPublished in: SIGIR (2023)
Keyphrases
- implicit feedback
- deep learning
- recommender systems
- collaborative filtering
- user feedback
- explicit feedback
- eye tracking
- user behavior
- personalized recommendation
- matrix factorization
- unsupervised learning
- web search
- item recommendation
- relevance feedback
- search result
- machine learning
- user preferences
- weakly supervised
- contextual information
- mental models
- search logs
- search engine
- web search engines
- web users
- bayesian networks