skip to main content
10.1145/2339530.2339748acmconferencesArticle/Chapter ViewAbstractPublication PageskddConference Proceedingsconference-collections
abstract

Understanding users' satisfaction for search engine evaluation

Published:12 August 2012Publication History

ABSTRACT

To fulfill users' search needs, the search engine must have good performance, easy-to-use functionalities, and good search result quality. Search quality evaluation becomes challenging when users' satisfaction may not be able to judge by a single search and even within a single search judgments from various sources are not consistent. In this talk, I will discuss how user's satisfaction is decomposed into different components in general, and how we measure them with various means - human judgment, automatic computation with query log, and outsourcing, and their pros and cons with operational implications. For an outlook, I will postulate potential evaluation approaches for a better user's satisfaction.

Skip Supplemental Material Section

Supplemental Material

309_w_talk_3.mp4

mp4

555.6 MB

Index Terms

  1. Understanding users' satisfaction for search engine evaluation

    Recommendations

    Comments

    Login options

    Check if you have access through your login credentials or your institution to get full access on this article.

    Sign in
    • Published in

      cover image ACM Conferences
      KDD '12: Proceedings of the 18th ACM SIGKDD international conference on Knowledge discovery and data mining
      August 2012
      1616 pages
      ISBN:9781450314626
      DOI:10.1145/2339530

      Copyright © 2012 Author

      Publisher

      Association for Computing Machinery

      New York, NY, United States

      Publication History

      • Published: 12 August 2012

      Permissions

      Request permissions about this article.

      Request Permissions

      Check for updates

      Qualifiers

      • abstract

      Acceptance Rates

      Overall Acceptance Rate1,133of8,635submissions,13%

      Upcoming Conference

      KDD '24
    • Article Metrics

      • Downloads (Last 12 months)0
      • Downloads (Last 6 weeks)0

      Other Metrics

    PDF Format

    View or Download as a PDF file.

    PDF

    eReader

    View online with eReader.

    eReader