Profiling Users’ Behavior, and Identifying Important Features of Review “Helpfulness”-Reference-Cited by-同舟云学术

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Profiling Users’ Behavior, and Identifying Important Features of Review “Helpfulness”

Published:2020 Issue: Volume:8 Page:77227-77244
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Bilal Muhammad^ORCID,Marjani Mohsen^ORCID,Lali Muhammad Ikramullah^ORCID,Malik Nadia,Gani Abdullah^ORCID,Hashem Ibrahim Abaker Targio

Funder

University Malaysia Sabah Research

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science

Link

http://xplorestaging.ieee.org/ielx7/6287639/8948470/09075989.pdf?arnumber=9075989

Cited by 14 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

1. Academates – Your Path to Personalized Learning;2024 International Conference on Communication, Computing and Internet of Things (IC3IoT);2024-04-17

2. Investigating the Usefulness of Product Reviews Through Bipolar Argumentation Frameworks;Lecture Notes in Computer Science;2024

3. MRBUP : MapReduce based scalable user profiling in recommender system;Journal of Information and Optimization Sciences;2024

4. Classification of Helpful and Unhelpful Online Customer Reviews Using XLNet and BERT Variants;Lecture Notes in Electrical Engineering;2024

5. A global user profile framework for effective recommender systems;Multimedia Tools and Applications;2023-11-08

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