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Analyzing review sentiments and product images by parallel deep nets for personalized recommendation

  • Published:2023-01 Issue:1 Volume:60 Page:103166
  • ISSN:0306-4573
  • Container-title:Information Processing & Management
  • language:en
  • Short-container-title:Information Processing & Management

Author:

Zhan Zhu,Xu BugaoORCID

Funder

University of North Texas

Donghua University

Publisher

Elsevier BV

Subject

Library and Information Sciences,Management Science and Operations Research,Computer Science Applications,Media Technology,Information Systems

Reference33 articles.

1. Amazon, Amazon Product Data. Accessed: August 1, 2021. http://jmcauley.ucsd.edu/data/amazon.

2. A Study of Defensive Methods to Protect Visual Recommendation against Adversarial Manipulation of Images;Anelli,2021

3. Aspect based recommendations: Recommending items with the most valuable aspects based on user reviews;Bauman,2017

4. Stochastic gradient descent tricks;Bottou,2012

5. TransNets: Learning to transform for recommendation;Catherine,2017

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