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A cluster-based simulation of facet-based search

Published: 16 June 2008 Publication History

Abstract

The recent increase of online video has challenged the research in the field of video information retrieval. Video search engines are becoming more and more interactive, helping the user to easily find what he or she is looking for. In this poster, we present a new approach of using an iterative clustering algorithm on text and visual features to simulate users creating new facets in a facet-based interface. Our experimental results prove the usefulness of such an approach.

Reference

[1]
F. Hopfgartner and J. Jose. Evaluating the Implicit Feedback Models for Adaptive Video Retrieval. In ACM MIR '07 - 9th ACM SIGMM International Workshop on Multimedia Information Retrieval, Augsburg, Germany, pages 323--332, 09 2007.

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    cover image ACM Conferences
    JCDL '08: Proceedings of the 8th ACM/IEEE-CS joint conference on Digital libraries
    June 2008
    490 pages
    ISBN:9781595939982
    DOI:10.1145/1378889
    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]

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    New York, NY, United States

    Publication History

    Published: 16 June 2008

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    Author Tags

    1. clustering
    2. facet-based interface
    3. user simulation

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    JCDL08
    JCDL08: Joint Conference on Digital Libraries
    June 16 - 20, 2008
    PA, Pittsburgh PA, USA

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    JCDL '08 Paper Acceptance Rate 33 of 117 submissions, 28%;
    Overall Acceptance Rate 415 of 1,482 submissions, 28%

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