A Systematic Study on the Recommender Systems in the E-Commerce-Reference-Cited by-同舟云学术

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A Systematic Study on the Recommender Systems in the E-Commerce

Published:2020 Issue: Volume:8 Page:115694-115716
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Alamdari Pegah Malekpour,Navimipour Nima Jafari^ORCID,Hosseinzadeh Mehdi^ORCID,Safaei Ali Asghar,Darwesh Aso

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science

Link

http://xplorestaging.ieee.org/ielx7/6287639/8948470/09118884.pdf?arnumber=9118884

Cited by 81 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

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2. Enhancing User Acceptance of an AI Agent’s Recommendation in Information-Sharing Environments;Applied Sciences;2024-09-04

3. Incorporating recklessness to collaborative filtering based recommender systems;Information Sciences;2024-09

4. Selling durian online? Reimagining digital marketplaces that embody and empower rural businesses;Participatory Design Conference 2024;2024-08-11

5. Network link prediction via deep learning method: A comparative analysis with traditional methods;Engineering Science and Technology, an International Journal;2024-08

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