Addressing cold start in recommender systems: a semi-supervised co-training algorithm.
Mi ZhangJie TangXuchen ZhangXiangyang XuePublished in: SIGIR (2014)
Keyphrases
- training algorithm
- cold start
- recommender systems
- semi supervised
- cold start problem
- training process
- collaborative filtering
- back propagation
- neural network
- semi supervised learning
- labeled data
- data sparsity
- learning algorithm
- pairwise
- unlabeled data
- support vector machine
- active learning
- supervised learning
- user preferences
- matrix factorization
- user model
- personalized recommendation
- information overload
- user feedback
- rbf neural network
- recommendation algorithms
- learning rate
- user ratings
- implicit feedback
- artificial neural networks
- web search
- user profiles
- decision trees
- tag recommendation
- training data
- feature selection