Review-Based Domain Disentanglement without Duplicate Users or Contexts for Cross-Domain Recommendation-Reference-Cited by-同舟云学术

Review-Based Domain Disentanglement without Duplicate Users or Contexts for Cross-Domain Recommendation

Published:2022-10-17 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 31st ACM International Conference on Information & Knowledge Management
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Author:

Choi Yoonhyuk¹,Choi Jiho¹,Ko Taewook¹,Byun Hyungho¹,Kim Chong-Kwon²

Affiliation:

1. Seoul National University, Seoul, South Korea

2. Korea Institute of Energy Technology, Naju, South Korea

Funder

National Research Foundation of Korea (NRF)

Artificial Intelligence Innovation Hub

Innovative Human Resource Development for Local Intellectualization support program

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3511808.3557434

Reference67 articles.

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4. Shai Ben-David , John Blitzer , Koby Crammer , Alex Kulesza , Fernando Pereira , and Jennifer Wortman Vaughan . 2010. A theory of learning from different domains. Machine learning , Vol. 79 , 1 ( 2010 ), 151--175. Shai Ben-David, John Blitzer, Koby Crammer, Alex Kulesza, Fernando Pereira, and Jennifer Wortman Vaughan. 2010. A theory of learning from different domains. Machine learning, Vol. 79, 1 (2010), 151--175.

5. Cross-Market Product Recommendation

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