Contextual Distillation Model for Diversified Recommendation-Reference-Cited by-同舟云学术

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Contextual Distillation Model for Diversified Recommendation

Published:2024-08-24 Issue: Volume:15 Page:5307-5316
ISSN:
Container-title:Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining
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Author:

Li Fan¹^ORCID,Si Xu²^ORCID,Tang Shisong³^ORCID,Wang Dingmin⁴^ORCID,Han Kunyan⁵^ORCID,Han Bing⁵^ORCID,Zhou Guorui⁵^ORCID,Song Yang⁵^ORCID,Chen Hechang⁶^ORCID

Affiliation:

1. University of Science and Technology of China, Hefei, China

2. Tsinghua University, Beijing, China

3. Kuaishou Inc. & Tsinghua University, Beijing, China

4. University of Oxford, Oxford, United Kingdom

5. Kuaishou Inc., Beijing, China

6. Jilin University, Changchun, China

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3637528.3671514

Reference50 articles.

1. Managing Diversity in Airbnb Search

2. Optimal Greedy Diversity for Recommendation;Ashkan Azin;IJCAI,2015

3. Haoyue Bai, Le Wu, Min Hou, Miaomiao Cai, Zhuangzhuang He, Yuyang Zhou, Richang Hong, and Meng Wang. 2024. Multimodality Invariant Learning for Multimedia-Based New Item Recommendation. arXiv preprint arXiv:2405.15783 (2024).

4. The use of MMR, diversity-based reranking for reordering documents and producing summaries

5. Laming Chen, Guoxin Zhang, and Eric Zhou. 2018. Fast greedy map inference for determinantal point process to improve recommendation diversity. Advances in Neural Information Processing Systems 31 (2018).

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