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Zhang, Peng; Song, Dawei; Zhao, Xiaozhao and Hou, Yuexian
(2010).
DOI: https://doi.org/10.1007/978-3-642-17187-1_50
URL: http://link.springer.com/chapter/10.1007%2F978-3-6...
Abstract
In pseudo relevance feedback (PRF), the document weight which indicates how important a document is for the PRF model, plays a key role. In this paper, we investigate the smoothness issue of the document weights in PRF. The term smoothness means that the document weights decrease smoothly (i.e. gradually) along the document ranking list, and the weights are smooth (i.e. similar) within topically similar documents. We postulate that a reasonably smooth document- weighting function can benefit the PRF performance. This hypothesis is tested under a typical PRF model, namely the Relevance Model (RM). We propose a two-step document weight smoothing method, the different instantiations of which have different effects on weight smoothing. Ex- periments on three TREC collections show that the instantiated methods with better smoothing effects generally lead to better PRF performance. In addition, the proposed method can significantly improve the RM’s performance and outperform various alternative methods which can also be used to smooth the document weights.
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About
- Item ORO ID
- 35117
- Item Type
- Conference or Workshop Item
- ISSN
- 0302-9743
- Extra Information
-
Information Retrieval Technology
6th Asia Information Retrieval Societies Conference, AIRS 2010,
Taipei, Taiwan, December 1-3, 2010.
Proceedings
Editors:Pu-Jen Cheng, Min-Yen Kan, Wai Lam, Preslav Nakov
Lecture Notes in Computer Science, 6458
ISBN: 978-3-642-17186-4 (Print)
ISBN: 978-3-642-17187-1 (Online)
pp.527-538 - Keywords
- pseudo relevance feedback; document weight smoothness; query language model; relevance model
- Academic Unit or School
-
Faculty of Science, Technology, Engineering and Mathematics (STEM) > Computing and Communications
Faculty of Science, Technology, Engineering and Mathematics (STEM) - Copyright Holders
- © 2010 Springer-Verlag
- Related URLs
- Depositing User
- Dawei Song