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Adaptive visualization for exploratory information retrieval

Ahn, JW and Brusilovsky, P (2013) Adaptive visualization for exploratory information retrieval. Information Processing and Management, 49 (5). 1139 - 1164. ISSN 0306-4573

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Abstract

As the volume and breadth of online information is rapidly increasing, ad hoc search systems become less and less efficient to answer information needs of modern users. To support the growing complexity of search tasks, researchers in the field of information developed and explored a range of approaches that extend the traditional ad hoc retrieval paradigm. Among these approaches, personalized search systems and exploratory search systems attracted many followers. Personalized search explored the power of artificial intelligence techniques to provide tailored search results according to different user interests, contexts, and tasks. In contrast, exploratory search capitalized on the power of human intelligence by providing users with more powerful interfaces to support the search process. As these approaches are not contradictory, we believe that they can re-enforce each other. We argue that the effectiveness of personalized search systems may be increased by allowing users to interact with the system and learn/investigate the problem in order to reach the final goal. We also suggest that an interactive visualization approach could offer a good ground to combine the strong sides of personalized and exploratory search approaches. This paper proposes a specific way to integrate interactive visualization and personalized search and introduces an adaptive visualization based search system Adaptive VIBE that implements it. We tested the effectiveness of Adaptive VIBE and investigated its strengths and weaknesses by conducting a full-scale user study. The results show that Adaptive VIBE can improve the precision and the productivity of the personalized search system while helping users to discover more diverse sets of information. © 2013 Elsevier Ltd. All rights reserved.


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Details

Item Type: Article
Status: Published
Creators/Authors:
CreatorsEmailPitt UsernameORCID
Ahn, JW
Brusilovsky, Ppeterb@pitt.eduPETERB0000-0002-1902-1464
Date: 1 January 2013
Date Type: Publication
Journal or Publication Title: Information Processing and Management
Volume: 49
Number: 5
Page Range: 1139 - 1164
DOI or Unique Handle: 10.1016/j.ipm.2013.01.007
Schools and Programs: School of Information Sciences > Information Science
Refereed: Yes
ISSN: 0306-4573
Date Deposited: 22 Jul 2013 17:58
Last Modified: 30 Oct 2017 03:55
URI: http://d-scholarship.pitt.edu/id/eprint/19383

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