Autoencoder-based personalized ranking framework unifying explicit and implicit feedback for accurate top-N recommendation.
Dong-Kyu ChaeSang-Wook KimJung-Tae LeePublished in: Knowl. Based Syst. (2019)
Keyphrases
- personalized ranking
- implicit feedback
- explicit feedback
- user behavior
- matrix factorization
- eye tracking
- recommender systems
- user feedback
- web search
- item recommendation
- learning algorithm
- contextual information
- tag recommendation
- bayesian analysis
- ranking algorithm
- data mining techniques
- relevance feedback
- query processing