Evaluating bias in retrieval systems for recall oriented documents retrieval
Joint Authors
Source
The International Arab Journal of Information Technology
Issue
Vol. 12, Issue 1 (31 Jan. 2015)8 p.
Publisher
Publication Date
2015-01-31
Country of Publication
Jordan
No. of Pages
8
Main Subjects
Information Technology and Computer Science
Topics
Abstract EN
l system has always been a focus of research.
Most of the retrieval systems seem to be more efficient for precision oriented documents than recall oriented documents.
Since there is a difference between recall and precision oriented documents.
Therefore, a system that is efficient for the retrieval of precision oriented documents needs not to be good for recall oriented documents as well.
Evaluation of retrieval system is very necessary in order to determine whether these methods are suitable for recall oriented documents retrieval or not.
We evaluate different retrieval systems for recall oriented documents retrieval.
Our main focus is on finding the bias in retrieval systems.
We use different retrieval systems for evaluation ; in which four are query expansion techniques while the other three retrieve documents without using query expansion techniques.
Patent documents are used for analyzing the effectiveness of retrieval systems.
Accessibility of documents is measured by retrievability measurement.
Lorenz curve and Gini coefficient are used for measuring bias in systems.
Our experiments results show that tfidf is less biased.
While exact method show high retrievability inequality.
In query expansion techniques language modelling shows less inequality.
American Psychological Association (APA)
Nur, Sanam& Bashir, Shariq. 2015. Evaluating bias in retrieval systems for recall oriented documents retrieval. The International Arab Journal of Information Technology،Vol. 12, no. 1.
https://search.emarefa.net/detail/BIM-365983
Modern Language Association (MLA)
Nur, Sanam& Bashir, Shariq. Evaluating bias in retrieval systems for recall oriented documents retrieval. The International Arab Journal of Information Technology Vol. 12, no. 1 (Jan. 2015).
https://search.emarefa.net/detail/BIM-365983
American Medical Association (AMA)
Nur, Sanam& Bashir, Shariq. Evaluating bias in retrieval systems for recall oriented documents retrieval. The International Arab Journal of Information Technology. 2015. Vol. 12, no. 1.
https://search.emarefa.net/detail/BIM-365983
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-365983