skip to main content
10.1145/2487788.2487858acmotherconferencesArticle/Chapter ViewAbstractPublication PagesthewebconfConference Proceedingsconference-collections
poster

Searching for interestingness in Wikipedia and Yahoo!: answers

Published: 13 May 2013 Publication History

Abstract

In many cases, when browsing the Web, users are searching for specific information. Sometimes, though, users are also looking for something interesting, surprising, or entertaining. Serendipitous search puts interestingness on par with relevance. We investigate how interesting are the results one can obtain via serendipitous search, and what makes them so, by comparing entity networks extracted from two prominent social media sites, Wikipedia and Yahoo! Answers.

References

[1]
G. Jeh and J. Widom. Scaling personalized web search. In WWW '03, pages 271--279. ACM, 2003.
[2]
O. Kucuktunc, B. Cambazoglu, I. Weber, and H. Ferhatos-manoglu. A large-scale sentiment analysis for yahoo! answers. In WSDM '12, pages 633--642. ACM, 2012.
[3]
D. Paranjpe. Learning document aboutness from implicit user feedback and document structure. In CIKM, 2009.
[4]
E. G. Toms. Serendipitous information retrieval. In DELOS, 2000.
[5]
Y. Zhou, L. Nie, O. Rouhani-Kalleh, F. Vasile, and S. Gaffney. Resolving surface forms to Wikipedia topics. In COLING, pages 1335--1343, 2010.

Cited By

View all
  • (2022)Researching Serendipity in Digital Information EnvironmentsundefinedOnline publication date: 10-Mar-2022
  • (2018)Related Information Discovery Using Enumerations in Wikipedia Articles for Supporting Multidimensional Understanding of Search Target検索対象の多面的理解支援のためのWikipedia記事中の列挙を利用した関連情報発見Journal of Japan Society for Fuzzy Theory and Intelligent Informatics10.3156/jsoft.30.6_78830:6(788-795)Online publication date: 15-Dec-2018

Index Terms

  1. Searching for interestingness in Wikipedia and Yahoo!: answers

    Recommendations

    Comments

    Information & Contributors

    Information

    Published In

    cover image ACM Other conferences
    WWW '13 Companion: Proceedings of the 22nd International Conference on World Wide Web
    May 2013
    1636 pages
    ISBN:9781450320382
    DOI:10.1145/2487788
    Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

    Sponsors

    • NICBR: Nucleo de Informatcao e Coordenacao do Ponto BR
    • CGIBR: Comite Gestor da Internet no Brazil

    In-Cooperation

    Publisher

    Association for Computing Machinery

    New York, NY, United States

    Publication History

    Published: 13 May 2013

    Check for updates

    Author Tags

    1. exploratory search
    2. serendipity

    Qualifiers

    • Poster

    Conference

    WWW '13
    Sponsor:
    • NICBR
    • CGIBR
    WWW '13: 22nd International World Wide Web Conference
    May 13 - 17, 2013
    Rio de Janeiro, Brazil

    Acceptance Rates

    WWW '13 Companion Paper Acceptance Rate 831 of 1,250 submissions, 66%;
    Overall Acceptance Rate 1,899 of 8,196 submissions, 23%

    Contributors

    Other Metrics

    Bibliometrics & Citations

    Bibliometrics

    Article Metrics

    • Downloads (Last 12 months)3
    • Downloads (Last 6 weeks)0
    Reflects downloads up to 19 Feb 2025

    Other Metrics

    Citations

    Cited By

    View all
    • (2022)Researching Serendipity in Digital Information EnvironmentsundefinedOnline publication date: 10-Mar-2022
    • (2018)Related Information Discovery Using Enumerations in Wikipedia Articles for Supporting Multidimensional Understanding of Search Target検索対象の多面的理解支援のためのWikipedia記事中の列挙を利用した関連情報発見Journal of Japan Society for Fuzzy Theory and Intelligent Informatics10.3156/jsoft.30.6_78830:6(788-795)Online publication date: 15-Dec-2018

    View Options

    Login options

    View options

    PDF

    View or Download as a PDF file.

    PDF

    eReader

    View online with eReader.

    eReader

    Figures

    Tables

    Media

    Share

    Share

    Share this Publication link

    Share on social media