Active Learning and Deep Learning for the Cold-Start Problem in Recommendation System: A Comparative Study.
Rabaa AlabdulrahmanHerna L. ViktorEric PaquetPublished in: IC3K (2019)
Keyphrases
- deep learning
- cold start problem
- active learning
- recommender systems
- collaborative filtering
- personalized recommendation
- machine learning
- data sparsity
- cold start
- unsupervised learning
- matrix factorization
- recommendation systems
- semi supervised
- transfer learning
- supervised learning
- semi supervised learning
- learning strategies
- mental models
- labeled data
- weakly supervised
- learning algorithm
- web users
- user feedback
- recommendation algorithms
- unlabeled data
- data mining
- training examples
- user profiles
- user interests
- data sets
- information overload
- context aware
- co occurrence
- knowledge discovery
- training set
- implicit feedback
- natural language
- training data
- computer vision