Session based recommendation system using gradient descent temporal CNN for e-commerce application-Reference-Cited by-同舟云学术

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Session based recommendation system using gradient descent temporal CNN for e-commerce application

Published:2024-01-05 Issue:22 Volume:83 Page:61121-61138
ISSN:1573-7721
Container-title:Multimedia Tools and Applications
language:en
Short-container-title:Multimed Tools Appl

Author:

Mikkili Dileep Kumar ,Sivanarayana G. V.,Indira D.N.V.S.L.S.,Raj Mikkili Pruthvi

Publisher

Springer Science and Business Media LLC

Link

https://link.springer.com/content/pdf/10.1007/s11042-023-17907-0.pdf

Reference34 articles.

1. Al-Ghuribi SM, Noah SAM (2019) Multi-criteria review-based recommender system–the state of the art. IEEE Access 7:169446–169468

2. Lu J, Wu D, Mao M, Wang W, Zhang G (2015) Recommender system application developments: a survey. Decis Support Syst 74:12–32

3. Shambour Q (2021) A deep learning-based algorithm for multi-criteria recommender systems. Knowl Based Syst 211:106545

4. Zhang W, Wang Q, Yang Y, Yoshida T (2021) A 2020 perspective on DeRec: A data-driven approach to accurate recommendation with deep learning and weighted loss function. Electron Commer Res Appl 48:101064

5. Singh MK, Rishi OP (2020) Event driven recommendation system for E-commerce using knowledge based collaborative filtering technique. Scalable Comput: Pract Exp 21(3):369–378

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