Personalized recommendation of linear content on interactive TV platforms: beating the cold start and noisy implicit user feedback.
Dávid ZibriczkyBalázs HidasiZoltán PetresDomonkos TikkPublished in: UMAP Workshops (2012)
Keyphrases
- personalized recommendation
- cold start
- user interests
- cold start problem
- recommender systems
- interactive tv
- collaborative filtering
- user preferences
- web content
- user feedback
- web users
- multimedia
- information overload
- recommendation systems
- user profiles
- implicit feedback
- recommendation algorithms
- digital tv
- user behavior
- user generated
- user ratings
- metadata
- user model
- user generated content
- tag recommendation
- data sparsity
- information extraction
- digital libraries