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of 6
pro vyhledávání: '"Gupta, Sanket"'
We present a novel framework for user representation in large-scale recommender systems, aiming at effectively representing diverse user taste in a generalized manner. Our approach employs a two-stage methodology combining representation learning and
Externí odkaz:
http://arxiv.org/abs/2403.00584
Autor:
Gupta, Sanket1 (AUTHOR), Jain, Suresh1 (AUTHOR), Bandhu, Kailash Chandra1 (AUTHOR) kailashchandra.bandhu@gmail.com
Publikováno v:
Ingénierie des Systèmes d'Information. Dec2024, Vol. 29 Issue 6, p2283-2292. 10p.
Autor:
Balaji, G., Gupta, Sanket, Manikpuri, Gulshan Kumar, Sureshkumar, Sooraj, Sathish, S., Madhanraj, V.
Publikováno v:
In Materials Today: Proceedings 2022 68 Part 5:1455-1465
Autor:
Litoriya, Ratnesh, Bandhu, Kailash Chandra, Gupta, Sanket, Rajawat, Ishika, Jagwani, Hany, Yadav, Chirayu
Publikováno v:
Journal of Automation, Mobile Robotics and Intelligent Systems; March 2024, Vol. 17 Issue: 4 p79-87, 9p
Autor:
Litoriya, Ratnesh, Bandhu, Kailash Chandra, Gupta, Sanket, Rajawat, Ishika, Jagwani, Hany, Yadav, Chirayu
Publikováno v:
Journal of Automation, Mobile Robotics & Intelligent Systems; Dec2023, Vol. 17 Issue 4, p79-87, 9p
Autor:
Bandhu, Kailash Chandra, Litoriya, Ratnesh, Deo, Arpit, Gupta, Sanket, Satwani, Ravish, Deshmukh, Rishee, Lavvanshi, Rohit Kumar, Khan, Mubeen Ahmed
Publikováno v:
International Journal of Electronic Governance; 2024, Vol. 16 Issue: 3 p354-377, 24p