Sentiment-enhanced explanation of product recommendations

Li CHEN, Feng Wang

Research output: Chapter in book/report/conference proceedingConference contributionpeer-review

16 Citations (Scopus)

Abstract

Because of the important role of product reviews during users' decision process, we propose a novel explanation interface that particularly fuses the feature sentiments as extracted from reviews into explaining recommendations. Besides, it can explain multiple items altogether by revealing their similarity in respect of feature sentiments as well as static specifications, so as to support users' tradeoff making. Relative to existing works, we believe that this interface can be more effective, trustworthy, and persuasive.

Original languageEnglish
Title of host publicationWWW 2014 Companion - Proceedings of the 23rd International Conference on World Wide Web
PublisherAssociation for Computing Machinery, Inc
Pages239-240
Number of pages2
ISBN (Electronic)9781450327459
DOIs
Publication statusPublished - 7 Apr 2014
Event23rd International Conference on World Wide Web, WWW 2014 - Seoul, Korea, Republic of
Duration: 7 Apr 201411 Apr 2014

Publication series

NameWWW 2014 Companion - Proceedings of the 23rd International Conference on World Wide Web

Conference

Conference23rd International Conference on World Wide Web, WWW 2014
Country/TerritoryKorea, Republic of
CitySeoul
Period7/04/1411/04/14

Scopus Subject Areas

  • Computer Networks and Communications
  • Software

User-Defined Keywords

  • E-commerce
  • Recommendation explanation
  • Sentiment analysis

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