Using social networks to enhance a deep learning approach to solve the cold-start problem in recommender systems.
Muhammad Shoaib IkramAnban W. PillayEdgar JemberePublished in: FAIR (2019)
Keyphrases
- cold start problem
- deep learning
- recommender systems
- social networks
- collaborative filtering
- cold start
- matrix factorization
- item based collaborative filtering
- data sparsity
- unsupervised learning
- machine learning
- information overload
- user preferences
- user interests
- mental models
- personalized recommendation
- user profiles
- user behavior
- recommendation systems
- data sparseness
- social media