Dataset Regeneration for Sequential Recommendation-Reference-Cited by-同舟云学术

Dataset Regeneration for Sequential Recommendation

Published:2024-08-24 Issue: Volume:23 Page:3954-3965
ISSN:
Container-title:Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining
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Author:

Yin Mingjia¹^ORCID,Wang Hao¹^ORCID,Guo Wei²^ORCID,Liu Yong²^ORCID,Zhang Suojuan¹^ORCID,Zhao Sirui¹^ORCID,Lian Defu¹^ORCID,Chen Enhong¹^ORCID

Affiliation:

1. University of Science and Technology of China & State Key Laboratory of Cognitive Intelligence, Hefei, China

2. Huawei Singapore Research Center, Singapore, Singapore

Funder

National Natural Science Foundation of China

Anhui Provincial Science and Technology Major Project

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3637528.3671841

Reference79 articles.

1. André Bauer, Simon Trapp, Michael Stenger, Robert Leppich, Samuel Kounev, Mark Leznik, Kyle Chard, and Ian T. Foster. 2024. Comprehensive Exploration of Synthetic Data Generation: A Survey. CoRR abs/2401.02524 (2024).

2. Cross-domain Recommendation with Behavioral Importance Perception

3. Yongjun Chen, Zhiwei Liu, Jia Li, Julian J. McAuley, and Caiming Xiong. 2022. Intent Contrastive Learning for Sequential Recommendation. In WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25 - 29, 2022. ACM, 2172--2182.

4. Wenqi Fan, Xiaorui Liu, Wei Jin, Xiangyu Zhao, Jiliang Tang, and Qing Li. 2022. Graph Trend Filtering Networks for Recommendation. In SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11 - 15, 2022. 112--121.

5. Ian J. Goodfellow, Jean Pouget-Abadie, Mehdi Mirza, Bing Xu, David Warde- Farley, Sherjil Ozair, Aaron C. Courville, and Yoshua Bengio. 2014. Generative Adversarial Networks. CoRR abs/1406.2661 (2014).