Multimodal review helpfulness prediction with a multi-level cognitive reasoning mechanism
A theory-driven graph learning model
Bibliographic Data
| ID | 21466352 |
|---|---|
| Authors | Hai Wei (0000-0002-9045-7113, Hefei University of Technology), Ying Yang (0000-0002-3751-2590, Hefei University of Technology, corresponding author), Yu-Wang Chen (0000-0002-2007-1821, University of Manchester) |
| Year | 2025 |
| Volume | 191 |
| Pages | 114406 |
| Publication date | 2025-04-01 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Decision Support Systems (JOURNAL) |
| Journal identifiers | ISSN: 0167-9236 • E-ISSN: 1873-5797 |
| Publisher | Elsevier BV (PUBLISHER) |
| DOI | 10.1016/j.dss.2025.114406 |
| OpenAlex | W4406923810 |
| Language | EN |
| References cited | 32 |
Cognition · Cognitive psychology · Cognitive science · Epistemology · Graph · Helpfulness · Computer Science · Multimodal Machine Learning Applications · Neuroscience · Philosophy · Psychology · Sentiment Analysis and Opinion Mining · Social Psychology · Topic Modeling · Artificial Intelligence · Theoretical Computer Science
A Theory of Cognitive Dissonance
Attitudes and Attitude Change
A framework for building cognitive process models
Collaborative group embedding and decision aggregation based on attentive influence of individual members
Session context data integration to address the cold start problem in e-commerce recommender systems
How product review voting is influenced by existing votes, consumer involvement, review valence, and review diagnosticity
Neighbor-aware review helpfulness prediction
The impact of electronic word-of-mouth communication
Cognitive processes underlying context effects in attitude measurement
| Highly cited | No |
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