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JSCN: Joint Spectral Convolutional Network for Cross Domain Recommendation
[article]
2019
arXiv
pre-print
Cross-domain recommendation can alleviate the data sparsity problem in recommender systems. To transfer the knowledge from one domain to another, one can either utilize the neighborhood information or learn a direct mapping function. However, all existing methods ignore the high-order connectivity information in cross-domain recommendation area and suffer from the domain-incompatibility problem. In this paper, we propose a Joint Spectral Convolutional Network (JSCN) for cross-domain
arXiv:1910.08219v1
fatcat:3wyulfy6ffexlo6zac3o2gbetm