Bing-CF-IDF+: A Semantics-Driven News Recommender System.
Emma BrockenAron HartveldEmma de KoningThomas van NoortFrederik HogenboomFlavius FrasincarTarmo RobalPublished in: CAiSE (2019)
Keyphrases
- recommender systems
- collaborative filtering
- user generated content
- search engine
- data sparsity
- matrix factorization
- cold start problem
- personalized recommendation
- semantic information
- information filtering
- formal semantics
- user preferences
- cold start
- information overload
- keywords
- web scale
- netflix prize
- user profiles
- data driven
- recommendation quality
- active user
- internet search
- logic programming
- implicit feedback
- news stories
- news articles
- user model
- keyword search
- tf idf
- recommendation systems
- user feedback
- weighting scheme
- latent factor models
- online dating
- item based collaborative filtering