An Efficient Cold Start Solution for Recommender Systems Based on Machine Learning and User Interests.
Bilal HawashinShadi AlZu'biAla MughaidFarshad FotouhiAhmad AbusukhonPublished in: SDS (2020)
Keyphrases
- recommender systems
- cold start
- user interests
- cold start problem
- machine learning
- collaborative filtering
- personalized recommendation
- user profiles
- user profiling
- user preferences
- user model
- matrix factorization
- data sparsity
- web personalization
- information overload
- implicit feedback
- user generated
- recommendation quality
- recommendation systems
- user feedback
- user behavior
- recommendation algorithms
- tag recommendation
- machine learning algorithms
- item based collaborative filtering
- natural language processing
- active learning
- user ratings
- data mining
- transfer learning
- reinforcement learning
- user context
- contextual information