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The Hedge Algorithm for Metasearch at TREC 2006

Javed A. Aslam, Virgiliu Pavlu, Carlos Rei
2006 Text Retrieval Conference  
It has been demonstrated that the Hedge algorithm is an effective technique for metasearch, often significantly exceeding the performance of standard metasearch and IR techniques over small TREC collections  ...  Aslam, Pavlu, and Savell [3] introduced the Hedge algorithm for metasearch which effectively combines the ranked lists of documents returned by multiple retrieval systems in response to a given query and  ...  In this work, we discuss our experiments with the Hedge algorithm in the Terabyte track at TREC 2006, and we also compare to those results obtained by using the Hedge algorithm run over the data from the  ... 
dblp:conf/trec/AslamPR06 fatcat:s6uwcuia7vaiddwurrc3gmyrbu

A machine learning based approach to evaluating retrieval systems

Huyen-Trang Vu, Patrick Gallinari
2006 Proceedings of the main conference on Human Language Technology Conference of the North American Chapter of the Association of Computational Linguistics -   unpublished
Experimental results on TREC collections 1 consistently demonstrate the effectiveness of our approach according to different evaluation criteria.  ...  The relevance assessment set has been recognized as the key bottleneck in test collection building, especially on very large sized document collections.  ...  Acknowledgement The authors thank M.-R. Amini, B. Piwowarski, J. Zobel and the anonymous reviewers for their thorough comments. We acknowledge NIST to make accessible the TREC submissions.  ... 
doi:10.3115/1220835.1220886 fatcat:d5trheo5fjdw5ikj76f3r4si3a

Leveraging Collection Structure in Information Retrieval With Applications to Search in Conversational Social Media

Jonathan L. Elsas
Although this type of collection structure is frequently critical for comprehension, it is rarely exploited in retrieval algorithms.  ...  Recent statistics show that sites hosting social media and community-generated content account for five of the top ten most visited websites in the United States [4], are visited regularly by a broad cross-section  ...  a sample of four queries from the TREC 2006 blog track.  ... 
doi:10.1184/r1/6720422.v1 fatcat:5ju46q7uzrel3d5uqh4xg6k2z4

Possibly imperfect ontologies for effective information retrieval

Gábor Nagypál
., for the day granule 2006-10-01 the following textual representations are all valid: "2006-10-01", "October 1, 2006", "October 1, 2006", "October 1st 2006", "10/1/2006" etc.  ...  E.g., the time interval (2006-01-01 -2006-01-03) can be represented as a sequence of three days: { 2006-01-01, 2006-01-02, 2006-01-03 } This approach works even for fuzzy time intervals.  ... 
doi:10.5445/ksp/1000007206 fatcat:ytdvvlwburfq3bafbzzj25ka6e