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EUPHORIA: A neural multi-view approach to combine content and behavioral features in review spam detection

  • Published:2022-06 Issue: Volume:3 Page:100036
  • ISSN:2772-4158
  • Container-title:Journal of Computational Mathematics and Data Science
  • language:en
  • Short-container-title:Journal of Computational Mathematics and Data Science

Author:

Andresini GiuseppinaORCID,Iovine Andrea,Gasbarro Roberto,Lomolino Marco,de Gemmis Marco,Appice Annalisa

Publisher

Elsevier BV

Reference59 articles.

1. Detection of review spam: A survey;Heydari;Expert Syst Appl,2015

2. Generating post hoc review-based natural language justifications for recommender systems;Musto;User Model User Adapt Interact,2021

3. Combining text summarization and aspect-based sentiment analysis of users’ reviews to justify recommendations;Musto,2019

4. Recommender systems based on user reviews: the state of the art;Chen,2015

5. The history of digital spam;Ferrara;Commun ACM,2019

Cited by 6 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. Multiscale cascaded domain-based approach for Arabic fake reviews detection in e-commerce platforms;Journal of King Saud University - Computer and Information Sciences;2024-02

2. Feature Reduction and Hybrid Machine Learning Model for Email Spam Prediction;2023 Second International Conference On Smart Technologies For Smart Nation (SmartTechCon);2023-08-18

3. Web User Data Analysis in Behavioural Artifacts Detection Using Ensemble Attribute Ratio Rule Algorithm with Machine Learning Architectures;2023 International Conference on Circuit Power and Computing Technologies (ICCPCT);2023-08-10

4. DARWIN: An online deep learning approach to handle concept drifts in predictive process monitoring;Engineering Applications of Artificial Intelligence;2023-08

5. GLORIA: A Graph Convolutional Network-Based Approach for Review Spam Detection;Discovery Science;2023
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