Multi-feature fusion-based consumer perceived risk prediction and its interpretability study.

Multi-feature fusion-based consumer perceived risk prediction and its interpretability study.

E-commerce faces challenges such as content homogenization and high perceived risk among users. This paper aims to predict perceived risk in different contexts by analyzing review content and website information. Based on a dataset containing 262,752 online reviews, we employ the KeyBERT-TextCNN mod...

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Bibliographic Details
Main Authors: Lin Qi, Yunjie Xie, Qianqian Zhang, Jian Zhang, Yanhong Ma
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2025-01-01
Series:PLoS ONE
Online Access:https://doi.org/10.1371/journal.pone.0316277
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