Expanding Controllability of Hybrid Recommender Systems: From Positive to Negative Relevance.
Behnam RahdariChun-Hua TsaiPeter BrusilovskyPublished in: FLAIRS Conference (2019)
Keyphrases
- recommender systems
- positive and negative
- collaborative filtering
- positive or negative
- implicit feedback
- information retrieval
- user preferences
- hybrid recommendation
- matrix factorization
- negatively correlated
- positively correlated
- relevance feedback
- user profiles
- trust aware
- hybrid learning
- user modelling
- product recommendation
- positive data
- user profiling
- negative feedback
- positive feedback
- cold start problem
- relevance ranking
- neural network
- sentence level
- recommendation algorithms
- user modeling
- user feedback
- temporal reasoning
- test collection