Search Results for author: Kei Yonekawa

Found 1 papers, 1 papers with code

Debiasing Graph Transfer Learning via Item Semantic Clustering for Cross-Domain Recommendations

1 code implementation7 Nov 2022 Zhi Li, Daichi Amagata, Yihong Zhang, Takahiro Hara, Shuichiro Haruta, Kei Yonekawa, Mori Kurokawa

To address this data sparsity problem, cross-domain recommender systems (CDRSs) exploit the data from an auxiliary source domain to facilitate the recommendation on the sparse target domain.

Clustering Recommendation Systems +1

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