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Information theory

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by Rongmei Li , Rianne Kaptein , Djoerd Hiemstra , Jaap Kamps
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BibTeX

@MISC{Li_informationtheory,
    author = {Rongmei Li and Rianne Kaptein and Djoerd Hiemstra and Jaap Kamps},
    title = {Information theory},
    year = {}
}

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Abstract

The main obstacle for providing focused search is the relative opaqueness of search request—searchers tend to express their complex information needs in only a couple of keywords. Our overall aim is to find out if, and how, topic-based language models can leads to more effective web information retrieval. In this paper we explore retrieval performance of a topic-based model that combines topical models with other language models based on cross-entropy. We first define our topical categories and train our topical models on the.GOV2 corpus by building parsimonious language models. We then test the topic-based model on TREC8 small Web data collection for ad-hoc search. Our experimental results show that the topic-based model outperforms the standard language model and parsimonious model.

Citations

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234 Document language models, query models, and risk minimization for information retrieval - Lafferty, Zhai - 2001
220 Information retrieval as statistical translation - Berger, Lafferty - 1999
216 Using Language Models for Information Retrieval - Hiemstra - 2001
158 A Hidden Markov Model Information Retrieval System - Miller, Leek, et al. - 1999
152 A general language model for information retrieval - Song, Croft - 1999
139 Cluster-based Language Models For Distributed Retrieval.” To Appear - Xu, Croft - 1999
134 Personalizing search via automated analysis of interests and activities - Teevan, Dumais, et al. - 2005
118 the Free Encyclopedia - Wikipedia
118 Model-based Feedback in the Language Modeling Approach to Information Retrieval - Zhai, Lafferty - 2001
101 Twenty-One at TREC-7: Ad-hoc and Cross-language Track - Hiemstra, Kraaij - 1999
93 Rijsbergen. Information Retrieval, 2nd edition - Van - 1979
90 Cluster-based retrieval using language models - Liu, Croft - 2004
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47 Implicit user modeling for personalized search - Shen, Tan, et al. - 2005
35 Using ODP metadata to personalize search - Chirita, Nejdl, et al. - 2005
21 Relevance models in information retrieval - Lavrenko, Croft - 2003
11 Open directory project - DMOZ
11 Conceptual language models for context-aware text retrieval - Rode, Hiemstra - 2005
10 Topic based language models for ad hoc information retrieval - Azzopardi, Girolami, et al. - 2004
10 Using query contexts in information retrieval - Bai, Nie, et al. - 2007
4 Investigating retrieval performance with manually-built topic models - Wei, Croft - 2007
1 The other search engine - Ask - 2008
1 Standing on the schoulders of giants - Scholar - 2008
1 The social music revolution - FM - 2008
1 Semantic web search - Swoogle - 2008
1 Answers before links - SWSE - 2008
1 Exploring the semantic web - Watson - 2008
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