THUIR at TREC 2009 Web Track: Finding Relevant and Diverse Results for Large Scale Web Search

Finding "Abstract Fields" of Web Pages and Query Specific Retrieval - THUIR at TREC 2004 Web Track

THUIR 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 ...

THUIR at TREC 2003: Novelty, Robust and Web

This is the second time that Tsinghua University Information Retrieval Group (THUIR) participates in TREC. In this year, we took part in four tracks: novelty, robust, web and HARD, describing in following sections, respectively. A new IR system named TMiner has been built on which all experiments have been performed. In the system, Primary Feature Model (PFM) has been proposed and combined with...

Improved Feature Selection and Redundance Computing - THUIR at TREC 2004 Novelty Track

This is the third years that Tsinghua University Information Retrieval Group (THUIR) participates in Novelty task of TREC. Our research on this year’s novelty track mainly focused on four aspects: (1) text feature selection and reduction; (2) improved sentence classification in finding relevant information; (3)efficient sentence redundancy computing; (4) effective result filtering. All experime...

THUIR at TREC 2008: Enterprise Track

We participate in document search and expert search of Enterprise Track in TREC2008. The corpus and tasks are same as the year before. Different from TREC 2007, the topics come from CSIRO Enquiries, and the topic statements are richer and more colloquial.. In document search, we look into the key resource page pre-selection, the use of anchor text, query classification, and multi-field search. ...