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DYNIQX: a novel meta-search engine for the web.

Zhu, Jianhan; Song, Dawei; Eisenstadt, Marc; Barladeanu, Cristi; R�ger, Stefan

Authors

Jianhan Zhu

Dawei Song

Marc Eisenstadt

Cristi Barladeanu

Stefan R�ger



Abstract

The effect of metadata in collection fusion has not been sufficiently studied. In response to this, we present a novel meta-search engine called Dyniqx for metadata based search. Dyniqx integrates search results from search services of documents, images, and videos for generating a unified list of ranked search results. Dyniqx exploits the availability of metadata in search services such as PubMed, Google Scholar, Google Image Search, and Google Video Search etc for fusing search results from heterogeneous search engines. In addition, metadata from these search engines are used for generating dynamic query controls such as sliders and tick boxes etc which are used by users to filter search results. Our preliminary user evaluation shows that Dyniqx can help users complete information search tasks more efficiently and successfully than three well known search engines respectively. We also carried out one controlled user evaluation of the integration of six document/image/video based search engines (Google Scholar, PubMed, Intute, Google Image, Yahoo Image, and Google Video) in Dyniqx. We designed a questionnaire for evaluating different aspect of Dyniqx in assisting users complete search tasks. Each user used Dyniqx to perform a number of search tasks before completing the questionnaire. Our evaluation results confirm the effectiveness of the meta-search of Dyniqx in assisting user search tasks, and provide insights into better designs of the Dyniqx interface.

Citation

ZHU, J., SONG, D., EISENSTADT, M., BARLADEANU, C. and RUGER, S. 2009. DYNIQX: a novel meta-search engine for the web. International journal of information studies, 1(1), pages 2-27.

Journal Article Type Article
Acceptance Date Dec 31, 2009
Online Publication Date Dec 31, 2009
Publication Date Dec 31, 2009
Deposit Date Aug 13, 2009
Publicly Available Date Mar 29, 2024
Journal International journal of information studies
Print ISSN 1911-8408
Electronic ISSN 1911-8414
Publisher Digital Information Research Foundation
Peer Reviewed Peer Reviewed
Volume 1
Issue 1
Pages 2-27
Keywords Metadata; Search engines; Search interface
Public URL http://hdl.handle.net/10059/393

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