An orthogonal-space-learning-based method for selecting semantically helpful reviews-Reference-Cited by-同舟云学术

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An orthogonal-space-learning-based method for selecting semantically helpful reviews

Published:2022-05 Issue: Volume:53 Page:101154
ISSN:1567-4223
Container-title:Electronic Commerce Research and Applications
language:en
Short-container-title:Electronic Commerce Research and Applications

Author:

Chen Gang,Xiao Shuaiyong,Zhang Chenghong,Wang Wei

Funder

National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

Management of Technology and Innovation,Marketing,Computer Networks and Communications,Computer Science Applications

Reference76 articles.

1. HiTR: Hierarchical topic model re-estimation for measuring topical diversity of documents;Azarbonyad;IEEE Trans. Knowl. Data Eng.,2019

2. A framework for fake review detection in online consumer electronics retailers;Barbado;Inf. Process. Manage.,2019

3. Exploring determinants of voting for the “helpfulness” of online user reviews: A text mining approach;Cao;Decis. Support Syst.,2011

4. Social media analytics: Extracting and visualizing Hilton hotel ratings and reviews from TripAdvisor;Chang;Int. J. Inf. Manage.,2019

5. How “small” reflects “large”?-Representative information measurement and extraction;Chen;Inf. Sci.,2018

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1. A novel deep learning method to use feature complementarity for review helpfulness prediction;Journal of Hospitality and Tourism Technology;2024-05-07

2. A Review Helpfulness Modeling Mechanism for Online E-commerce: Multi-Channel CNN End‑to‑End Approach;Applied Artificial Intelligence;2023-01-12

3. Destination evangelism and engagement: Investigation from social media-based travel community;Electronic Commerce Research and Applications;2023-01

4. Analysing and Predicting the Helpfulness of Online User Review Using Machine Learning and Meta-Heuristic Algorithms (the Case Study of the Tripadvisor Website);2023

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