Consento: A consensus search engine for answering subjective queries

Jaehoon Choi, Donghyeon Kim, Seongsoon Kim, Junkyu Lee, Sangrak Lim, Sunwon Lee, Jaewoo Kang

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

1 Citation (Scopus)

Abstract

Search engines have become an important decision making tool today. Decision making queries are often subjective, such as "best sedan for family use," "best action movies in 2010," to name a few. Unfortunately, such queries cannot be answered properly by conventional search systems. In order to address this problem, we introduce Consento, a consensus search engine designed to answer subjective queries. Consento performs subdocument-level indexing to more precisely capture semantics from user opinions. We also introduce a new ranking method, or ConsensusRank that counts in online comments referring to an entity as a weighted vote to the entity. We validated the framework with an empirical study using the data on movie reviews. Copyright is held by the author/owner(s).

Original languageEnglish
Title of host publicationWWW'12 - Proceedings of the 21st Annual Conference on World Wide Web Companion
Pages481-482
Number of pages2
DOIs
Publication statusPublished - 2012
Event21st Annual Conference on World Wide Web, WWW'12 - Lyon, France
Duration: 2012 Apr 162012 Apr 20

Publication series

NameWWW'12 - Proceedings of the 21st Annual Conference on World Wide Web Companion

Other

Other21st Annual Conference on World Wide Web, WWW'12
Country/TerritoryFrance
CityLyon
Period12/4/1612/4/20

Keywords

  • Consensus search
  • ConsensusRank
  • Entity search
  • Maximal coherent semantic unit
  • Segment indexing

ASJC Scopus subject areas

  • Computer Networks and Communications

Fingerprint

Dive into the research topics of 'Consento: A consensus search engine for answering subjective queries'. Together they form a unique fingerprint.

Cite this