research-article

Data visualization and relevance feedback applied to information retrieval

Authors:

Diogo Oliveira de Melo,

Alneu de Andrade LopesAuthors Info & Claims

PIKM '13: Proceedings of the sixth workshop on Ph.D. students in information and knowledge management

Pages 27 - 32

https://doi.org/10.1145/2513166.2513178

Published: 02 November 2013 Publication History

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Abstract

The World Wide Web is a very large source of data growing steadily and fast. In this scenario, information retrieval systems are of key importance to allow people to obtain desired information. This article proposes an information retrieval framework which employs data visualization with relevance feedback to support user interaction. Data visualization is useful to display more information about retrieved results in an intuitive manner, while relevance feedback is used to provide more results similar to those considered relevant by the user. This article presents such information retrieval framework and the Amuzi system built as proof of concept.

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Cited By

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Osipyan HMorton AMarchand-Maillet S(2014)Fast Interactive Information Retrieval with Sampling-Based MDS on GPU ArchitecturesMultidisciplinary Information Retrieval10.1007/978-3-319-12979-2_9(96-107)Online publication date: 2014
https://doi.org/10.1007/978-3-319-12979-2_9
Suchanek FNica AHe QIyengar ANejdl WPei JRastogi R(2013)PIKM 2013Proceedings of the 22nd ACM international conference on Information & Knowledge Management10.1145/2505515.2505817(2561-2562)Online publication date: 27-Oct-2013
https://dl.acm.org/doi/10.1145/2505515.2505817

Index Terms

Data visualization and relevance feedback applied to information retrieval
1. Human-centered computing
  1. Human computer interaction (HCI)
2. Information systems
  1. Information retrieval

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Published In

PIKM '13: Proceedings of the sixth workshop on Ph.D. students in information and knowledge management

November 2013

52 pages

ISBN:9781450324229

DOI:10.1145/2513166

Program Chairs:
Fabian M. Suchanek
Télécom ParisTech, France
,
Anisoara Nica
SAP AG, Canada

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 02 November 2013

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CIKM'13

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CIKM'13: 22nd ACM International Conference on Information and Knowledge Management

November 1, 2013

California, San Francisco, USA

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PIKM '13 Paper Acceptance Rate 6 of 13 submissions, 46%;

Overall Acceptance Rate 25 of 62 submissions, 40%

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CIKM '25

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The 34th ACM International Conference on Information and Knowledge Management

November 10 - 14, 2025

Seoul , Republic of Korea

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Cited By

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Osipyan HMorton AMarchand-Maillet S(2014)Fast Interactive Information Retrieval with Sampling-Based MDS on GPU ArchitecturesMultidisciplinary Information Retrieval10.1007/978-3-319-12979-2_9(96-107)Online publication date: 2014
https://doi.org/10.1007/978-3-319-12979-2_9
Suchanek FNica AHe QIyengar ANejdl WPei JRastogi R(2013)PIKM 2013Proceedings of the 22nd ACM international conference on Information & Knowledge Management10.1145/2505515.2505817(2561-2562)Online publication date: 27-Oct-2013
https://dl.acm.org/doi/10.1145/2505515.2505817

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Recommendations

The Study of Methods for Language Model Based Positive and Negative Relevance Feedback in Information Retrieval

Improving video event retrieval by user feedback

Interactive content-based image retrieval using relevance feedback