Learning to Rank for Personalised Fashion Recommender Systems via Implicit Feedback.
Hai Thanh NguyenThomas AlmenningenMartin HavigHerman SchistadAnders Kofod-PetersenHelge LangsethHeri RamampiaroPublished in: MIKE (2014)
Keyphrases
- learning to rank
- implicit feedback
- recommender systems
- collaborative filtering
- relevance judgments
- user feedback
- user preferences
- matrix factorization
- ranking functions
- information retrieval
- evaluation measures
- loss function
- cold start
- web search
- user interests
- personalized recommendation
- clickthrough data
- user profiles
- evaluation metrics
- user model
- information overload
- retrieval systems
- context aware
- digital libraries
- reinforcement learning
- machine learning