Using Parsimonious Language Models on Web Data


Kaptein, Rianne and Li, Rongmei and Hiemstra, Djoerd and Kamps, Jaap (2008) Using Parsimonious Language Models on Web Data. In: 31th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2008, 20-24 July 2008, Singapore (pp. pp. 763-764).

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Abstract:In this paper we explore the use of parsimonious language models for web retrieval. These models are smaller thus more efficient than the standard language models and are therefore well suited for large-scale web retrieval. We have conducted experiments on four TREC topic sets, and found that the parsimonious language model results in improvement of retrieval effectiveness over the standard language model for all data-sets and measures. In all cases the improvement is significant, and more substantial than in earlier experiments
on newspaper/newswire data.
Item Type:Conference or Workshop Item
Copyright:© 2008 ACM
Electrical Engineering, Mathematics and Computer Science (EEMCS)
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