Loss Aversion in Recommender Systems: Utilizing Negative User Preference to Improve Recommendation Quality.
Bibek PaudelSandro LuckAbraham BernsteinPublished in: CoRR (2018)
Keyphrases
- recommender systems
- recommendation quality
- user preferences
- collaborative filtering
- recommendation systems
- recommendation algorithms
- matrix factorization
- user behavior
- user profiles
- cold start
- data sparsity
- making recommendations
- user model
- personalized recommendation
- information filtering
- user interests
- preference model
- information overload
- product recommendation
- user based collaborative filtering
- decision making
- implicit feedback
- cold start problem
- content based filtering
- collaborative recommendation
- collaborative filtering algorithms
- transfer learning