Zero-shot Item-based Recommendation via Multi-task Product Knowledge Graph Pre-Training-Reference-Cited by-同舟云学术

Zero-shot Item-based Recommendation via Multi-task Product Knowledge Graph Pre-Training

Published:2023-10-21 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 32nd ACM International Conference on Information and Knowledge Management
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Author:

Fan Ziwei¹^ORCID,Liu Zhiwei²^ORCID,Heinecke Shelby²^ORCID,Zhang Jianguo²^ORCID,Wang Huan²^ORCID,Xiong Caiming²^ORCID,Yu Philip S.¹^ORCID

Affiliation:

1. University of Illinois Chicago, Chicago, IL, USA

2. Salesforce AI Research, Palo Alto, CA, USA

Funder

NSF (National Science Foundation)

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3583780.3615110

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5. Yuwei Cao , Liangwei Yang , Chen Wang , Zhiwei Liu , Hao Peng , Chenyu You , and Philip S . Yu . 2023 . Multi-task Item-attribute Graph Pre-training for Strict Cold-start Item Recommendation . arxiv: 2306.14462 [cs.IR] Yuwei Cao, Liangwei Yang, Chen Wang, Zhiwei Liu, Hao Peng, Chenyu You, and Philip S. Yu. 2023. Multi-task Item-attribute Graph Pre-training for Strict Cold-start Item Recommendation. arxiv: 2306.14462 [cs.IR]