منابع مشابه
DUTIR at TREC 2008 Relevance Feedback Track
This paper details our experiments carried out at TREC 2008 Relevance Feedback Track. We focused on the analysis of feedback documents, both relevant and non-relevant, to explore more useful information to improve retrieval performance. In our experiments, local co-occurrence model and a Rocchio formula were used to select good expansion terms. Five runs were submitted. These runs used differen...
متن کاملTHUIR at TREC 2008: Relevance Feedback Track
Tsinghua University Information Retrieval Group (THUIR) has participated into the first Relevance Feedback Track of TREC2008. The TMiner search engine has been used as our text retrieval system, because the processing capability and flexibility of this system on large text data has been testified during many years’ Web Track and Terabyte Track. In the track, we studied two approaches: 1) query ...
متن کاملThe TREC 2009 Relevance Feedback Track
We present a new supervised method for estimating term-based retrieval models and apply it to weight expansion terms from relevance feedback. While previous work on supervised feedback [Cao et al., 2008] demonstrated significantly improved retrieval accuracy over standard unsupervised approaches [Lavrenko and Croft, 2001, Zhai and Lafferty, 2001], feedback terms were assumed to be independent i...
متن کاملCMIC@TREC 2009: Relevance Feedback Track
This paper describes CMIC’s submissions to the TREC’09 relevance feedback track. In the phase 1 runs we submitted, we experimented with two different techniques to produce 5 documents to be judged by the user in the initial feedback step, namely using knowledge bases and clustering. Both techniques attempt to topically diversify these 5 documents as much as possible in an effort to maximize the...
متن کاملUsing Hybrid Methods for Relevance Assessment in TREC Crowd '12
The University of Iowa (UIowaS) submitted three runs to the TRAT subtask of the 2012 TREC Crowdsourcing track. The task objective was to evaluate approaches to crowdsourcing high quality relevance judgments for a text document collection. We used this as an opportunity to examine three hybrid (combination of human-based and machine-based) approaches while simultaneously limiting time and cost. ...
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ژورنال
عنوان ژورنال: Journal of Documentation
سال: 2014
ISSN: 0022-0418
DOI: 10.1108/jd-02-2014-0031