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Navigation Leads Selection Considering Navigational Value of Keywords

Authors:

Robert Moro,

Maria BielikovaAuthors Info & Claims

WWW '15 Companion: Proceedings of the 24th International Conference on World Wide Web

Pages 79 - 80

https://doi.org/10.1145/2740908.2742764

Published: 18 May 2015 Publication History

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Abstract

Searching a vast information space such as the Web presents a challenging task and even more so, if the domain is unknown and the character of the task is thus exploratory in its nature. We have proposed a method of exploratory navigation based on navigation leads, i.e. terms that help users to filter the information space of a digital library. In this paper, we focus on the selection of the leads considering their navigational value. We employ clustering based on topic modeling using LDA (Latent Dirichlet Allocation). We present results of a preliminary evaluation on the Annota dataset containing more than 50,000 research papers.

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Cited By

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Kim SRyu MLee J(2021)Which HCI Lab in South Korea Fits Best for Me? : Designing an HCI Lab Browsing System to Support Prospective Students’ Decision-Making ProcessExtended Abstracts of the 2021 CHI Conference on Human Factors in Computing Systems10.1145/3411763.3451628(1-6)Online publication date: 8-May-2021
https://dl.acm.org/doi/10.1145/3411763.3451628
Moro RBielikova M(2020)Navigation leads for exploratory search and navigation in digital librariesKnowledge and Information Systems10.1007/s10115-019-01434-262:7(2739-2764)Online publication date: 31-Jan-2020
https://doi.org/10.1007/s10115-019-01434-2
Moro RVangel MBielikova M(2016)Identification of Navigation Lead Candidates Using Citation and Co-Citation AnalysisProceedings of the 42nd International Conference on SOFSEM 2016: Theory and Practice of Computer Science - Volume 958710.1007/978-3-662-49192-8_45(556-568)Online publication date: 23-Jan-2016
https://dl.acm.org/doi/10.1007/978-3-662-49192-8_45

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Navigation Leads Selection Considering Navigational Value of Keywords

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Published In

WWW '15 Companion: Proceedings of the 24th International Conference on World Wide Web

May 2015

1602 pages

ISBN:9781450334730

DOI:10.1145/2740908

General Chairs:
Aldo Gangemi
National Research Council, Italy & Paris 13 University-CNRS, France
,
Stefano Leonardi
Sapienza University of Rome, Italy
,
Alessandro Panconesi
Sapienza University of Rome, Italy

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.

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SIGWEB: ACM Special Interest Group on Hypertext, Hypermedia, and Web

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Association for Computing Machinery

New York, NY, United States

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Published: 18 May 2015

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Research and Development Operational Programme co-funded by the European Regional Development Fund
Cultural and Educational Grant Agency of the Slovak Republic
Scientific Grant Agency of the Slovak Republic

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WWW '15

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IW3C2

WWW '15: 24th International World Wide Web Conference

May 18 - 22, 2015

Florence, Italy

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Overall Acceptance Rate 1,899 of 8,196 submissions, 23%

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Kim SRyu MLee J(2021)Which HCI Lab in South Korea Fits Best for Me? : Designing an HCI Lab Browsing System to Support Prospective Students’ Decision-Making ProcessExtended Abstracts of the 2021 CHI Conference on Human Factors in Computing Systems10.1145/3411763.3451628(1-6)Online publication date: 8-May-2021
https://dl.acm.org/doi/10.1145/3411763.3451628
Moro RBielikova M(2020)Navigation leads for exploratory search and navigation in digital librariesKnowledge and Information Systems10.1007/s10115-019-01434-262:7(2739-2764)Online publication date: 31-Jan-2020
https://doi.org/10.1007/s10115-019-01434-2
Moro RVangel MBielikova M(2016)Identification of Navigation Lead Candidates Using Citation and Co-Citation AnalysisProceedings of the 42nd International Conference on SOFSEM 2016: Theory and Practice of Computer Science - Volume 958710.1007/978-3-662-49192-8_45(556-568)Online publication date: 23-Jan-2016
https://dl.acm.org/doi/10.1007/978-3-662-49192-8_45

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Robot Navigation Based on Multi-sensor Data Fusion

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