Browse DORAS
Browse Theses
Search
Latest Additions
Creative Commons License
Except where otherwise noted, content on this site is licensed for use under a:

An evaluation and analysis of incorporating term dependency for ad-hoc retrieval

Lang, Hao and Wang, Bin and Jones, Gareth J.F. and Li, Jin-Tao and Liu, Yi-Xuan (2008) An evaluation and analysis of incorporating term dependency for ad-hoc retrieval. In: 30th European Conference on Information Retrieval Research (ECIR 2008), , 30 Mar - 3 Apr 2008, Glasgow, Scotland.

Full text available as:

[img]
Preview
PDF - Requires a PDF viewer such as GSview, Xpdf or Adobe Acrobat Reader
173Kb

Abstract

Although many retrieval models incorporating term dependency have been developed, it is still unclear whether term dependency information can consistently enhance retrieval performance for different queries. We present a novel model that captures the main components of a topic and the relationship between those components and the power of term dependency to improve retrieval performance. Experimental results demonstrate that the power of term dependency strongly depends on the relationship between these components. Without relevance information, the model is still useful by predicting the components based on global statistical information. We show the applicability of the model for adaptively incorporating term dependency for individual queries.

Item Type:Conference or Workshop Item (Paper)
Event Type:Conference
Refereed:Yes
Uncontrolled Keywords:term dependancy; queries
Subjects:Computer Science > Information retrieval
DCU Faculties and Centres:DCU Faculties and Schools > Faculty of Engineering and Computing > School of Computing
Published in:Advances in Information Retrieval. Lecture Notes in Computer Science 4956. Springer-Verlag.
Publisher:Springer-Verlag
Official URL:http://dx.doi.org/10.1007/978-3-540-78646-7_63
Copyright Information:© 2008 Springer-Verlag The original publication is available at www.springerlink.com
Use License:This item is licensed under a Creative Commons Attribution-NonCommercial-Share Alike 3.0 License. View License
ID Code:16508
Deposited On:18 Aug 2011 15:03 by Shane Harper. Last Modified 18 Aug 2011 15:03

Download statistics

Archive Staff Only: edit this record