ACTL: Adaptive Codebook Transfer Learning for Cross-Domain Recommendation
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DOI: 10.1109/access.2019.2896881
Abstract: Collaborative filtering usually suffers from limited performance due to the data sparsity problem. Transfer learning presents an unprecedented opportunity to alleviate this issue through transfer useful knowledge from an auxiliary domain to a target domain.… read more here.
Keywords: cross domain; domain recommendation; transfer learning; transfer ... See more keywords
A CCA-Based Item-Side Alignment Method for Cross-Domain Recommendation System
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DOI: 10.1109/access.2021.3073196
Abstract: For cross-domain recommendation, it can be divided into strong correlation and weak correlation problems according to the consistency between auxiliary domain and target domain. The weak correlation problem is more practical than the strong correlation… read more here.
Keywords: domain; cross domain; domain recommendation; item side ... See more keywords
A Deep Dual Adversarial Network for Cross-Domain Recommendation
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DOI: 10.1109/tkde.2021.3132953
Abstract: Data sparsity is a common issue for most recommender systems and can severely degrade the usefulness of a system. One of the most successful solutions to this problem has been cross-domain recommender systems. These frameworks… read more here.
Keywords: domain; domain recommendation; dual adversarial; cross domain ... See more keywords