Solving Cold-Start Problem in Large-scale Recommendation Engines: A Deep Learning Approach.
Jianbo YuanWalid ShalabyMohammed KorayemDavid LinKhalifeh AlJaddaJiebo LuoPublished in: CoRR (2016)
Keyphrases
- cold start problem
- deep learning
- recommender systems
- collaborative filtering
- cold start
- data sparsity
- matrix factorization
- unsupervised learning
- personalized recommendation
- weakly supervised
- mental models
- machine learning
- data sparseness
- implicit feedback
- object class
- topic models
- relevance feedback
- knowledge discovery
- prior knowledge
- information retrieval