Investigating the effects of incremental training on neural ranking models-Reference-Cited by-同舟云学术

Investigating the effects of incremental training on neural ranking models

Published:2023-09-14 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 17th ACM Conference on Recommender Systems
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Author:

Schifferer Benedikt¹^ORCID,Shi Wenzhe²^ORCID,Moreira Gabriel De Souza Pereira³^ORCID,Oldridge Even⁴^ORCID,Deotte Chris⁵^ORCID,Titericz Gilberto³^ORCID,Onodera Kazuki⁶^ORCID,Dhinwa Praveen⁷^ORCID,Agrawal Vishal⁸^ORCID,Green Chris²^ORCID

Affiliation:

1. NVIDIA, Germany

2. ShareChat, USA

3. NVIDIA, Brazil

4. NVIDIA, Canada

5. NVIDIA, USA

6. NVIDIA, Japan

7. ShareChat, United Kingdom

8. ShareChat, India

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3604915.3608872

Reference11 articles.

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4. Contextual Hybrid Session-Based News Recommendation With Recurrent Neural Networks

5. João Gama , Indrė Žliobaitė , Albert Bifet , Mykola Pechenizkiy , and Abdelhamid Bouchachia . 2014. A survey on concept drift adaptation. ACM computing surveys (CSUR) 46, 4 ( 2014 ), 1–37. João Gama, Indrė Žliobaitė, Albert Bifet, Mykola Pechenizkiy, and Abdelhamid Bouchachia. 2014. A survey on concept drift adaptation. ACM computing surveys (CSUR) 46, 4 (2014), 1–37.