GroupIM-Reference-Cited by-同舟云学术

GroupIM

Published:2020-07-25 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval
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Author:

Sankar Aravind¹,Wu Yanhong²,Wu Yuhang²,Zhang Wei²,Yang Hao²,Sundaram Hari¹

Affiliation:

1. University of Illinois, Urbana-Champaign, Urbana, IL, USA

2. Visa Research, Palo Alto, CA, USA

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3397271.3401116

Reference43 articles.

1. Group recommendation: Semantics and efficiency;Amer-Yahia Sihem;VLDB,2009

2. Linas Baltrunas Tadas Makcinskas and Francesco Ricci. 2010. Group recommendations with rank aggregation and collaborative filtering. In RecSys. 119--126. Linas Baltrunas Tadas Makcinskas and Francesco Ricci. 2010. Group recommendations with rank aggregation and collaborative filtering. In RecSys. 119--126.

3. Mohamed Ishmael Belghazi Aristide Baratin Sai Rajeshwar Sherjil Ozair Yoshua Bengio Devon Hjelm and Aaron Courville. 2018. Mutual Information Neural Estimation. In ICML. 530--539. Mohamed Ishmael Belghazi Aristide Baratin Sai Rajeshwar Sherjil Ozair Yoshua Bengio Devon Hjelm and Aaron Courville. 2018. Mutual Information Neural Estimation. In ICML. 530--539.

4. Shlomo Berkovsky and Jill Freyne. 2010. Group-based recipe recommendations: analysis of data aggregation strategies. In RecSys. ACM 111--118. Shlomo Berkovsky and Jill Freyne. 2010. Group-based recipe recommendations: analysis of data aggregation strategies. In RecSys. ACM 111--118.

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