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Heterogeneous Collaborative Filtering
[article]
2019
arXiv
pre-print
Recommendation system is important to a content sharing/creating social network. Collaborative filtering is a widely-adopted technology in conventional recommenders, which is based on similarity between positively engaged content items involving the same users. Conventional collaborative filtering (CCF) suffers from cold start problem and narrow content diversity. We propose a new recommendation approach, heterogeneous collaborative filtering (HCF) to tackle these challenges at the root, while
arXiv:1909.01727v1
fatcat:3udl36rse5ez7pjbraivpu5jse