Blurring-Sharpening Process Models for Collaborative Filtering-Reference-Cited by-同舟云学术

Blurring-Sharpening Process Models for Collaborative Filtering

Published:2023-07-18 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval
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Author:

Choi Jeongwhan¹^ORCID,Hong Seoyoung¹^ORCID,Park Noseong¹^ORCID,Cho Sung-Bae¹^ORCID

Affiliation:

1. Yonsei University, Seoul, Republic of Korea

Funder

IITP

ETRI

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3539618.3591645

Reference69 articles.

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2. ITEM2VEC: Neural item embedding for collaborative filtering

3. Deyu Bo Xiao Wang Chuan Shi and Huawei Shen. 2021. Beyond Low-frequency Information in Graph Convolutional Networks. In AAAI. Deyu Bo Xiao Wang Chuan Shi and Huawei Shen. 2021. Beyond Low-frequency Information in Graph Convolutional Networks. In AAAI.

4. Dong-Kyu Chae Jin-Soo Kang Sang-Wook Kim and Jaeho Choi. 2019. Rating Augmentation with Generative Adversarial Networks towards Accurate Collaborative Filtering. In TheWebConf (former WWW). Dong-Kyu Chae Jin-Soo Kang Sang-Wook Kim and Jaeho Choi. 2019. Rating Augmentation with Generative Adversarial Networks towards Accurate Collaborative Filtering. In TheWebConf (former WWW).

5. CFGAN

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