| Retrievability: an evaluation measure for higher order information access tasks |
| Full text |
Pdf
(712 KB)
|
Source
|
Conference on Information and Knowledge Management
archive
Proceeding of the 17th ACM conference on Information and knowledge management
table of contents
Napa Valley, California, USA
SESSION: IR: evaluation
table of contents
Pages 561-570
Year of Publication: 2008
ISBN:978-1-59593-991-3
|
|
Authors
|
|
Leif Azzopardi
|
University of Glasgow, Glasgow, United Kingdom
|
|
Vishwa Vinay
|
Microsoft Research Cambridge, Cambridge, United Kingdom
|
|
| Sponsors |
|
| Publisher |
|
| Bibliometrics |
Downloads (6 Weeks): 11, Downloads (12 Months): 125, Citation Count: 0
|
|
|
ABSTRACT
Evaluation in Information Retrieval (IR) has long focused on effectiveness and efficiency. However, new and emerging access tasks now demand alternative evaluation measures which go beyond this traditional view. A retrieval system provides a means of gaining access to documents, therefore intuitively, our view of the collection is shaped by the retrieval system. In this paper, we outline some emerging information access related scenarios that require knowledge about how the retrieval system affects the users' ability to access information. This provides the motivation for the proposed evaluation measures and methodology where the focus is on capturing the behavior of the system, in terms of how retrievable it makes individual documents within the collection. To demonstrate the utility of the proposed methods, we perform an extensive analysis on two TREC collections showing how the measures can be applied to evaluate different information access questions. For higher order information access tasks that are inherently dependent on retrievability, our novel evaluation methodology emphasizes that effectiveness is an insufficient characterization of a retrieval system. This paper provides the foundations for the evaluation of higher order access related tasks.
REFERENCES
Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.
 |
1
|
|
| |
2
|
L. Azzopardi and V. Vinay. Accessibility in information retrieval. In Proceedings of ECIR'08, pages 482--489, Glasgow, Scotland, 2008.
|
| |
3
|
|
 |
4
|
|
 |
5
|
|
 |
6
|
Anirban Dasgupta , Arpita Ghosh , Ravi Kumar , Christopher Olston , Sandeep Pandey , Andrew Tomkins, The discoverability of the web, Proceedings of the 16th international conference on World Wide Web, May 08-12, 2007, Banff, Alberta, Canada
[doi> 10.1145/1242572.1242630]
|
| |
7
|
J. L. Gastwirth. The estimation of the lorenz curve and gini index. The Review of Economics and Statistics, 54(3):306--316, 1972.
|
| |
8
|
S. Lawrence and C. L. Giles. Accessibility of information on the web. Nature, 400(6740):107--107, 1999.
|
| |
9
|
|
| |
10
|
|
 |
11
|
|
 |
12
|
|
 |
13
|
|
| |
14
|
T. Upstill, N. Craswell, and D. Hawking. Buying bestsellers online: A case study in search & searchability. In 7th Australasian Document Computing Symposium, Sydney, Australia, 2002.
|
| |
15
|
|
| |
16
|
|
|