PEACE: Prototype lEarning Augmented transferable framework for Cross-domain rEcommendation

Author:

Gan Chunjing1ORCID,Huang Bo1ORCID,Hu Binbin1ORCID,Ma Jian1ORCID,Zhang Zhiqiang1ORCID,Zhou Jun2ORCID,Zhang Guannan1ORCID,Zhong Wenliang1ORCID

Affiliation:

1. Ant Group, Hangzhou, China

2. Ant Group, Beijing, China

Publisher

ACM

Reference64 articles.

1. Charu C. Aggarwal and Chandan K. Reddy. 2014. Data Clustering: Algorithms and Applications. In CRC Press.

2. David Arthur and Sergei Vassilvitskii. 2007. K-Means: The Advantages of Careful Seeding. In SIAM. 1027--1035.

3. Yukuo Cen Jianwei Zhang Xu Zou Chang Zhou Hongxia Yang and Jie Tang. 2020. Controllable multi-interest framework for recommendation. In KDD. 2942--2951.

4. Jeongwhan Choi Seoyoung Hong Noseong Park and Sung-Bae Cho. 2023. Blurring-Sharpening Process Models for Collaborative Filtering. In SIGIR. 1096--1106.

5. Laurens Van der Maaten and Geoffrey Hinton. 2008. Visualizing Data using t-SNE. In JMLR. 2579--2605.

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