Meta Graph Learning for Long-tail Recommendation-Reference-Cited by-同舟云学术

Meta Graph Learning for Long-tail Recommendation

Published:2023-08-04 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining
language:
Short-container-title:

Author:

Wei Chunyu¹^ORCID,Liang Jian²^ORCID,Liu Di³^ORCID,Dai Zehui³^ORCID,Li Mang⁴^ORCID,Wang Fei⁵^ORCID

Affiliation:

1. Tsinghua University, Beijing, China

2. Independent Researcher, Beijing, China

3. Alibaba Group, Beijing, China

4. Alibaba Group, Hangzhou, China

5. Cornell University, New York, USA

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3580305.3599428

Reference58 articles.

1. Controlling Popularity Bias in Learning-to-Rank Recommendation

2. Role-based Graph Embeddings

3. David C. Anastasiu and George Karypis. 2015. L2Knng: Fast Exact K-Nearest Neighbor Graph Construction with L2-Norm Pruning . In Proceedings of the 24th ACM International Conference on Information and Knowledge Management, CIKM 2015 , Melbourne, VIC, Australia, October 19 - 23 , 2015 , , James Bailey, Alistair Moffat, Charu C. Aggarwal, Maarten de Rijke, Ravi Kumar, Vanessa Murdock, Timos K. Sellis, and Jeffrey Xu Yu (Eds.). ACM, 791--800. David C. Anastasiu and George Karypis. 2015. L2Knng: Fast Exact K-Nearest Neighbor Graph Construction with L2-Norm Pruning. In Proceedings of the 24th ACM International Conference on Information and Knowledge Management, CIKM 2015, Melbourne, VIC, Australia, October 19 - 23, 2015, , James Bailey, Alistair Moffat, Charu C. Aggarwal, Maarten de Rijke, Ravi Kumar, Vanessa Murdock, Timos K. Sellis, and Jeffrey Xu Yu (Eds.). ACM, 791--800.

4. Alex Beutel , Ed Huai-hsin Chi , Zhiyuan Cheng , Hubert Pham , and John R. Anderson . 2017. Beyond Globally Optimal: Focused Learning for Improved Recommendations . In Proceedings of the 26th International Conference on World Wide Web, WWW 2017 , Perth, Australia, April 3--7 , 2017 , Rick Barrett, Rick Cummings, Eugene Agichtein, and Evgeniy Gabrilovich (Eds.). ACM, 203--212. Alex Beutel, Ed Huai-hsin Chi, Zhiyuan Cheng, Hubert Pham, and John R. Anderson. 2017. Beyond Globally Optimal: Focused Learning for Improved Recommendations. In Proceedings of the 26th International Conference on World Wide Web, WWW 2017, Perth, Australia, April 3--7, 2017, Rick Barrett, Rick Cummings, Eugene Agichtein, and Evgeniy Gabrilovich (Eds.). ACM, 203--212.

5. SMOTE: Synthetic Minority Over-sampling Technique

Cited by 3 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. RGMeta: Enhancing Cold-Start Recommendations with a Residual Graph Meta-Embedding Model;Electronics;2024-09-01

2. Content-based Graph Reconstruction for Cold-start Item Recommendation;Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval;2024-07-10

3. Considering user dynamic preferences for mitigating negative effects of long-tail in recommender systems;Information Sciences;2024-05