Tackling Cold-Start Users in Recommender Systems with Indoor Positioning Systems.
Emanuel LacicDominik KowaldMatthias TraubGranit LuzhnicaJörg SimonElisabeth LexPublished in: RecSys Posters (2015)
Keyphrases
- recommender systems
- cold start
- cold start problem
- collaborative filtering
- data sparsity
- implicit feedback
- recommendation systems
- information overload
- matrix factorization
- recommendation quality
- item based collaborative filtering
- personalized recommendation
- user preferences
- recommendation algorithms
- user profiles
- user model
- user ratings
- tag recommendation
- user generated content
- mobile devices
- intelligent systems
- user feedback
- indoor positioning
- image content
- context aware
- information sources
- collaborative filtering algorithms