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Logistic Regression for Metadata: Cheshire Takes on Adhoc-TEL [chapter]

Ray R. Larson
2009 Lecture Notes in Computer Science  

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In this paper we will briefly describe the approaches taken by the Berkeley Cheshire Group for the Adhoc-TEL 2008 tasks (Mono and Bilingual retrieval).  ...  In particular, the approach this year used probabilistic text retrieval based on logistic regression and incorporating blind relevance feedback for all of the runs.  ...  Indexing and Term Extraction The Cheshire II system uses the XML structure of the documents to extract selected portions for indexing and retrieval.  ... 
doi:10.1007/978-3-642-04447-2_3 fatcat:jmh7tr2mcjg2npmmtm5bbqx6bu
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Ray R. Larson. "Logistic Regression for Metadata: Cheshire Takes on Adhoc-TEL." Lecture Notes in Computer Science (2009) 38-41

Geographic Information Retrieval

Ross Purves, Christopher Jones
2011 SIGSPATIAL Special  

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ACM SIGSPATIAL addresses issues related to the acquisition, management, and processing of spatially-related information with a focus on algorithmic, geometric, and visual considerations.  ...  The dimensions of context and its role in mobile information retrieval. David Mountain Department of Information Science, City University London, UK D.M.Mountain@city.ac.uk  ...  Acknowledgements I would like to thank Adam Rae for providing the figure for this paper, and Mor Naaman for providing critical feedback.  ... 
doi:10.1145/2047296.2047297 fatcat:npmfk7kdhrailfrgyyaszkj6wi
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Ross Purves, Christopher Jones. "Geographic Information Retrieval." SIGSPATIAL Special 3.2 (2011) 2-4

TopX : efficient and versatile top-k query processing for text, structured, and semistructured data [article]

Martin Theobald, Universität Des Saarlandes, Universität Des Saarlandes
2006

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Libraries), and Cheshire II (at UC Berkeley).  ...  XML retrieval.  ...  .3 Index Access Scheduling A.3.1 NP-hardness of the Sorted-Access Scheduling Problem The KNAPSACK decision problem in general can be briefly formulated as follows: Given m items X i (i = 1..m), each with  ... 
doi:10.22028/d291-23776 fatcat:wsdfpjnpsjgbjn4x437dn53gdm
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Martin Theobald, Universität Des Saarlandes, Universität Des Saarlandes. "TopX : efficient and versatile top-k query processing for text, structured, and semistructured data." (2006)