Location via proxy:   [ UP ]  
[Report a bug]   [Manage cookies]                
skip to main content
10.1145/2063576.2063853acmconferencesArticle/Chapter ViewAbstractPublication PagescikmConference Proceedingsconference-collections
poster

RerankEverything: a reranking interface for exploring search results

Published: 24 October 2011 Publication History

Abstract

This paper proposes a system called "RerankEverything", which enables users to rerank search results in any search service, such as a Web search engine, an e-commerce site, a hotel reservation site, and so on. This system helps users explore diverse search results. In conventional search services, interactions between users and systems are quite limited and complicated. By using RerankEverything, users can interactively explore search results in accordance with their interests by reranking search results from various viewpoints. Experimental results show that our system potentially help users search more proactively. When using our system, users were more likely to click search results that were initially low ranked. Users also browsed through more diverse search results by reranking search results after giving various types of feedback with our system.

References

[1]
N.J. Belkin, C. Cool, D. Kelly, S.J. Lin, S.Y Park, J. Perez-Carballo and C. Sikora. Iterative exploration, design and evaluation of support for query reformulation in interactive information retrieval. Information Processing and Management, 37(3), pp. 404--434, 2001.
[2]
R.W. White and R. Roth. Exploratory search: beyond the query-response paradigm. Synthesis Lectures on Information Concepts, Retrieval, and Services, 1(1), pp. 1--98, 2009.

Cited By

View all
  • (2013)Recommendation System Keeping Both Precision and Recall Based on Uninteresting InformationJournal of Automation and Control Engineering10.12720/joace.1.3.202-2071:3(202-207)Online publication date: 2013

Index Terms

  1. RerankEverything: a reranking interface for exploring search results

    Recommendations

    Comments

    Information & Contributors

    Information

    Published In

    cover image ACM Conferences
    CIKM '11: Proceedings of the 20th ACM international conference on Information and knowledge management
    October 2011
    2712 pages
    ISBN:9781450307178
    DOI:10.1145/2063576
    Permission to make digital or hard copies of all or part 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 components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

    Sponsors

    Publisher

    Association for Computing Machinery

    New York, NY, United States

    Publication History

    Published: 24 October 2011

    Permissions

    Request permissions for this article.

    Check for updates

    Author Tags

    1. information retrieval
    2. reranking interaction
    3. search user interfaces

    Qualifiers

    • Poster

    Conference

    CIKM '11
    Sponsor:

    Acceptance Rates

    Overall Acceptance Rate 1,861 of 8,427 submissions, 22%

    Upcoming Conference

    Contributors

    Other Metrics

    Bibliometrics & Citations

    Bibliometrics

    Article Metrics

    • Downloads (Last 12 months)0
    • Downloads (Last 6 weeks)0
    Reflects downloads up to 30 Aug 2024

    Other Metrics

    Citations

    Cited By

    View all
    • (2013)Recommendation System Keeping Both Precision and Recall Based on Uninteresting InformationJournal of Automation and Control Engineering10.12720/joace.1.3.202-2071:3(202-207)Online publication date: 2013

    View Options

    Get Access

    Login options

    View options

    PDF

    View or Download as a PDF file.

    PDF

    eReader

    View online with eReader.

    eReader

    Media

    Figures

    Other

    Tables

    Share

    Share

    Share this Publication link

    Share on social media