Examining assessor attributes at HARD 2005
Baillie, Mark and Ruthven, Ian; (2006) Examining assessor attributes at HARD 2005. In: Proceedings of the 29th Annual ACM Conference on Research and Development in Information Retrieval (SIGIR '06). ACM Press, New York, NY., pp. 609-610. ISBN 1595933697 (https://doi.org/10.1145/1148170.1148279)
Preview |
PDF.
Filename: strathprints002778.pdf
Accepted Author Manuscript Download (102kB)| Preview |
Abstract
The TREC HARD (High accuracy Retrieval from Documents) track was motivated to investigate techniques for personalised retrieval of documents. Through the use of a limited dialogue with the TREC assessors, the track facilitated the gathering and exploitation of information about the assessors' personal search context (e.g. knowledge of search topic) which could be used to improve document retrieval. In this paper we describe experiments, run within the context of the 2005 HARD track, which indicate that assessor attributes such as familiarity, interest and confidence when searching a topic can help determine when the utilisation of automatic query expansion improves retrieval over the original document ranking.
ORCID iDs
Baillie, Mark and Ruthven, Ian ORCID: https://orcid.org/0000-0001-6669-5376;-
-
Item type: Book Section ID code: 2778 Dates: DateEvent2006PublishedSubjects: Science > Mathematics > Electronic computers. Computer science Department: Faculty of Science > Computer and Information Sciences Depositing user: Strathprints Administrator Date deposited: 05 Apr 2007 Last modified: 11 Nov 2024 14:31 URI: https://strathprints.strath.ac.uk/id/eprint/2778