Expediting Exploration by Attribute-to-Feature Mapping for Cold-Start Recommendations.
Deborah CohenMichal AharonYair KorenOren SomekhRaz NissimPublished in: RecSys (2017)
Keyphrases
- cold start
- feature mapping
- recommender systems
- cold start problem
- collaborative filtering
- data sparsity
- manifold learning
- tag recommendation
- user preferences
- feature space
- implicit feedback
- spam filtering
- nonlinear dimensionality reduction
- recommendation algorithms
- user ratings
- multiple instance learning
- personalized recommendation
- matrix factorization
- data sparseness
- data sets
- machine learning
- user behavior
- user profiles
- multi class
- low level
- active learning
- feature selection