Memorability of Semantically Grouped Online Reviews

Conference paper (2017)

Authors

C. Lofi Web Information Systems
N. Tintarev Web Information Systems
Research Group
Web Information Systems
Copyright: © 2017 M. Ye, C. Lofi, N. Tintarev
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Published Date

2017

Language

English

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Research Group

Web Information Systems

Abstract

This paper evaluates whether semantic grouping of reviews helps users make better decisions. Reviews rated as helpful were compared with semantically grouped reviews. While participants did not perceive a reduced effort (using NASA-TLX), they needed less time and performed better on answering questions about the strong,
weak and controversial points of the movies.