Real-time Short Video Recommendation on Mobile Devices-Reference-Cited by-同舟云学术

Real-time Short Video Recommendation on Mobile Devices

Published:2022-10-17 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 31st ACM International Conference on Information & Knowledge Management
language:
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Author:

Gong Xudong¹,Feng Qinlin¹,Zhang Yuan¹,Qin Jiangling¹,Ding Weijie¹,Li Biao¹,Jiang Peng¹,Gai Kun²

Affiliation:

1. Kuaishou Inc., Beijing, China

2. Unaffiliated, Beijing, China

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3511808.3557065

Reference25 articles.

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2. Muhammad Ammad-ud-din, Elena Ivannikova , Suleiman A. Khan , Were Oyomno , Qiang Fu , Kuan Eeik Tan, and Adrian Flanagan . 2019 . Federated Collaborative Filtering for Privacy-Preserving Personalized Recommendation System. CoRR , Vol. abs/ 1901 .09888 (2019). showeprint[arXiv]1901.09888 http://arxiv.org/abs/1901.09888 Muhammad Ammad-ud-din, Elena Ivannikova, Suleiman A. Khan, Were Oyomno, Qiang Fu, Kuan Eeik Tan, and Adrian Flanagan. 2019. Federated Collaborative Filtering for Privacy-Preserving Personalized Recommendation System. CoRR, Vol. abs/1901.09888 (2019). showeprint[arXiv]1901.09888 http://arxiv.org/abs/1901.09888

3. Learning to rank using gradient descent

4. From ranknet to lambdarank to lambdamart: An overview;Burges Christopher JC;Learning,2010

5. Enable Deep Learning on Mobile Devices: Methods, Systems, and Applications

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