Title
An orthogonal-space-learning-based method for selecting semantically helpful reviews
Abstract
•Selecting a helpful review set fits customers’ heterogeneous information demands.•We conceptualize review set helpfulness into credibility, relevance, diversity, and coverage.•We propose an orthogonal-semantic-space-based method for helpful review set selection.•Experiment results on designed metrics validate the helpfulness of the selected review sets.•Explanatory analysis offer insightful findings regarding the review set helpfulness.
Year
DOI
Venue
2022
10.1016/j.elerap.2022.101154
Electronic Commerce Research and Applications
Keywords
DocType
Volume
Helpful review set selection,Orthogonal semantic space,Review credibility,Semantic relevance,Semantic diversity,Semantic coverage
Journal
53
ISSN
Citations 
PageRank 
1567-4223
0
0.34
References 
Authors
0
4
Name
Order
Citations
PageRank
Gang Chen171275.60
Shuaiyong Xiao200.34
Chenghong Zhang311618.03
Wei Wang47122746.33