LAUSR

ACTL: Adaptive Codebook Transfer Learning for Cross-Domain Recommendation

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0 Published in 2019 at "IEEE Access"

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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1 Published in 2021 at "IEEE Access"

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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2 Published in 2023 at "IEEE Transactions on Knowledge and Data Engineering"

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

Cross-Domain Recommendation via Progressive Structural Alignment

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0 Published in 2024 at "IEEE Transactions on Knowledge and Data Engineering"

DOI: 10.1109/tkde.2023.3324912

Abstract: Cross-domain recommendation, as a cutting-edge technology to settle data sparsity and cold start problems, is gaining increasingly popular. Existing research paradigms primarily focus on leveraging the representation of overlapping entities, such as representation aggregation or… read more here.

Keywords: domain recommendation; cross domain; knowledge; domain ... See more keywords

Towards Knowledge-Aware and Deep Reinforced Cross-Domain Recommendation Over Collaborative Knowledge Graph

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0 Published in 2024 at "IEEE Transactions on Knowledge and Data Engineering"

DOI: 10.1109/tkde.2024.3391268

Abstract: Cross-domain recommendations (CDRs), which can leverage the relatively abundant information from a richer domain to improve the recommendation performance in a sparser domain, have attracted great attention due to their flexible recommendation strategies. Nevertheless, existing… read more here.

Keywords: knowledge; cross domain; domain recommendation; recommendation ... See more keywords