A Review Selection Method for Finding an Informative Subset from Online Reviews
Abstract
Concerning the information overload of online reviews, this paper models a new review selection problem called the Informative Review Subset Selection problem (namely, IRSS) and demonstrates that it is NP-hard to solve and approximate. Furthermore, a novel heuristic method (namely, Combined Search-ComS) is proposed for seeking the solution to the problem and selecting a subset of reviews, which is consistent with the original review corpus in...
Paper Details
Title
A Review Selection Method for Finding an Informative Subset from Online Reviews
Published Date
Jan 1, 2021
Journal
Volume
33
Issue
1
Pages
280 - 299
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