Retrieval Result Presentation and Evaluation

Shengli Wu, Yaxin Bi, Xiaoqin Zeng

Research output: Chapter in Book/Report/Conference proceedingChapter

2 Citations (Scopus)

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.
LanguageEnglish
Title of host publicationKnowledge Science, Engineering and Management Lecture Notes in Computer Science
Pages125-136
Publication statusPublished - 2010

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Digital libraries
Information retrieval systems

Cite this

Wu, S., Bi, Y., & Zeng, X. (2010). Retrieval Result Presentation and Evaluation. In Knowledge Science, Engineering and Management Lecture Notes in Computer Science (pp. 125-136)
Wu, Shengli ; Bi, Yaxin ; Zeng, Xiaoqin. / Retrieval Result Presentation and Evaluation. Knowledge Science, Engineering and Management Lecture Notes in Computer Science. 2010. pp. 125-136
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Wu, S, Bi, Y & Zeng, X 2010, Retrieval Result Presentation and Evaluation. in Knowledge Science, Engineering and Management Lecture Notes in Computer Science. pp. 125-136.

Retrieval Result Presentation and Evaluation. / Wu, Shengli; Bi, Yaxin; Zeng, Xiaoqin.

Knowledge Science, Engineering and Management Lecture Notes in Computer Science. 2010. p. 125-136.

Research output: Chapter in Book/Report/Conference proceedingChapter

TY - CHAP

T1 - Retrieval Result Presentation and Evaluation

AU - Wu, Shengli

AU - Bi, Yaxin

AU - Zeng, Xiaoqin

PY - 2010

Y1 - 2010

N2 - 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.

AB - 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.

M3 - Chapter

SN - 978-3-642-15279-5

SP - 125

EP - 136

BT - Knowledge Science, Engineering and Management Lecture Notes in Computer Science

ER -

Wu S, Bi Y, Zeng X. Retrieval Result Presentation and Evaluation. In Knowledge Science, Engineering and Management Lecture Notes in Computer Science. 2010. p. 125-136