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Retrieval Result Presentation and Evaluation

Wu, Shengli, Bi, Yaxin and Zeng, Xiaoqin (2010) Retrieval Result Presentation and Evaluation. In: Knowledge Science, Engineering and Management Lecture Notes in Computer Science. Springer Berlin Heidelberg, pp. 125-136. ISBN 978-3-642-15279-5 [Book section]

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Abstract

In information retrieval systems and digital libraries, result presentation is a very important aspect. In this paper, we demonstrate that only a ranked list of documents, thought commonly used by many retrieval systems and digital libraries, is not the best way of presenting retrieval results. We believe, in many situations, an estimated relevance probability score or an estimated relevance score should be provided for every retrieved document by the information retrieval system/digital library. With such information, the usability of the retrieval result can be improved, and the Euclidean distance can be used as a very good system-oriented measure for the effectiveness of retrieval results. The relationship between the Euclidean distance and some ranking-based measures are also investigated.

Item Type:Book section
Faculties and Schools:Faculty of Computing & Engineering
Faculty of Computing & Engineering > School of Computing and Mathematics
Research Institutes and Groups:Computer Science Research Institute
Computer Science Research Institute > Artificial Intelligence and Applications
ID Code:25489
Deposited By: Dr Yaxin Bi
Deposited On:20 Jan 2016 15:35
Last Modified:20 Jan 2016 15:35

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