The paper supplies a taxonomy that maps deep learning techniques to cold start (via extra features and hidden representations) and candidate generation (via separate networks, RNNs, autoencoders, and hybrids) challenges in recommender systems.
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Deep Learning to Address Candidate Generation and Cold Start Challenges in Recommender Systems: A Research Survey
The paper supplies a taxonomy that maps deep learning techniques to cold start (via extra features and hidden representations) and candidate generation (via separate networks, RNNs, autoencoders, and hybrids) challenges in recommender systems.