Mutual Information-based Preference Disentangling and Transferring for Non-overlapped Multi-target Cross-domain Recommendations

Author:

Li Zhi1ORCID,Amagata Daichi1ORCID,Zhang Yihong1ORCID,Hara Takahiro1ORCID,Haruta Shuichiro2ORCID,Yonekawa Kei2ORCID,Kurokawa Mori2ORCID

Affiliation:

1. Osaka University, Suita, Osaka, Japan

2. KDDI Research, Inc., Fujimino, Saitama, Japan

Publisher

ACM

Reference53 articles.

1. Daichi Amagata and Takahiro Hara. 2021. Reverse Maximum Inner Product Search: How to efficiently find users who would like to buy my item?. In RecSys. 273--281.

2. Reverse Maximum Inner Product Search: Formulation, Algorithms, and Analysis

3. Kazuyoshi Aoyama Daichi Amagata Sumio Fujita and Takahiro Hara. 2023. Simpler is Much Faster: Fair and Independent Inner Product Search. In SIGIR. 2379--2383.

4. Jiangxia Cao Xin Cong Jiawei Sheng Tingwen Liu and Bin Wang. 2022. Contrastive Cross-Domain Sequential Recommendation. In CIKM. 138--147.

5. Jiangxia Cao Shaoshuai Li Bowen Yu Xiaobo Guo Tingwen Liu and Bin Wang. 2023. Towards Universal Cross-Domain Recommendation. In WSDM. 78--86.

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