Smith search: Opinion-based restaurant search engine

Jaehoon Choi, Donghyeon Kim, Donghee Choi, Sangrak Lim, Seongsoon Kim, Jaewoo Kang

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Search engines have become an important decision-making tool today. Unfortunately, they still need to improve in an- swering complex queries. The answers to complex decision- making queries such as best burgers and fries" and good restaurants for anniversary dinner," are often subjective. The most relevant answer to the query can be obtained by only collecting people's opinions about the query, which are expressed in various venues on the Web. Collected opin- ions are converted into a consensus" list. All of this should be processed at query time, which is impossible under the current search paradigm. To address this problem, we intro- duce Smith, a novel opinion-based restaurant search engine. Smith actively processes opinions on the Web, blogs, review boards, and other forms of social media at index time, and produces consensus answers from opinions at query time. The Smith search app (iOS) is available for download at http://www.smithsearches.com/introduction/.

Original languageEnglish
Title of host publicationWWW 2015 Companion - Proceedings of the 24th International Conference on World Wide Web
PublisherAssociation for Computing Machinery, Inc
Pages187-190
Number of pages4
ISBN (Print)9781450334730
DOIs
Publication statusPublished - 2015 May 18
Event24th International Conference on World Wide Web, WWW 2015 - Florence, Italy
Duration: 2015 May 182015 May 22

Other

Other24th International Conference on World Wide Web, WWW 2015
CountryItaly
CityFlorence
Period15/5/1815/5/22

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Software

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    Choi, J., Kim, D., Choi, D., Lim, S., Kim, S., & Kang, J. (2015). Smith search: Opinion-based restaurant search engine. In WWW 2015 Companion - Proceedings of the 24th International Conference on World Wide Web (pp. 187-190). Association for Computing Machinery, Inc. https://doi.org/10.1145/2740908.2742829