Multi-Domain Sequential Recommendation via Domain Space Learning
Author:
Affiliation:
1. Pohang University of Science and Technology, Pohang, Republic of Korea
2. 42dot, Seoul, Republic of Korea
3. University of Illinois Urbana-Champaign, Champaign, IL, USA
Funder
National Research Foundation of Korea
Institute for Information and communications Technology Promotion
Daegu Digital Innovation Promotion Agency
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3626772.3657685
Reference53 articles.
1. Nawaf Alharbi and Doina Caragea. 2022. Cross-Domain Attentive Sequential Recommendations Based on General and Current User Preferences (CD-ASR). In IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology (WI-IAT '21). Association for Computing Machinery, New York, NY, USA, 48--55.
2. Jimmy Lei Ba, Jamie Ryan Kiros, and Geoffrey E Hinton. 2016. Layer normalization. arXiv preprint arXiv:1607.06450 (2016).
3. Contrastive Cross-Domain Sequential Recommendation
4. Towards Universal Cross-Domain Recommendation
5. DisenCDR
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