LLMRec: Large Language Models with Graph Augmentation for Recommendation-Reference-Cited by-同舟云学术

LLMRec: Large Language Models with Graph Augmentation for Recommendation

Published:2024-03-04 Issue: Volume: Page:
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Container-title:Proceedings of the 17th ACM International Conference on Web Search and Data Mining
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Author:

Wei Wei¹^ORCID,Ren Xubin¹^ORCID,Tang Jiabin¹^ORCID,Wang Qinyong²^ORCID,Su Lixin²^ORCID,Cheng Suqi²^ORCID,Wang Junfeng²^ORCID,Yin Dawei²^ORCID,Huang Chao¹^ORCID

Affiliation:

1. University of Hong Kong, Hong Kong, Hong Kong

2. Baidu Inc., Bei Jing, China

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3616855.3635853

Reference61 articles.

1. Keqin Bao, Jizhi Zhang, Yang Zhang, Wenjie Wang, Fuli Feng, and Xiangnan He. 2023. TALLRec: An Effective and Efficient Tuning Framework to Align Large Language Model with Recommendation. arXiv preprint arXiv:2305.00447 (2023).

2. Revisiting negative sampling vs. non-sampling in implicit recommendation;Chen Chong;TOIS,2023

3. Efficient neural matrix factorization without sampling for recommendation;Chen Chong;TOIS,2020

4. Heterogeneous Graph Contrastive Learning for Recommendation

5. Zheng Chen. 2023. PALR: Personalization Aware LLMs for Recommendation. arXiv preprint arXiv:2305.07622 (2023).

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