NTNUiS at the TREC 2014 Federated Web Search Track
نویسنده
چکیده
This paper describes our participation in the Federated Web Search track at TREC 2014. For the resource selection task we employ a learning-to-rank approach to combine various (instantiations of) resource ranking models. For the vertical selection task we treat the estimated collection relevance scores as binary judgements.
منابع مشابه
University of Padua at TREC 2014: Federated Web Search Track
This paper reports on the participation of the University of Padua to the TREC 2014 Federated Web Search track. The objective was the experimental investigation of the TWF·IRF weighting framework for resource and vertical selection in Federated Web Search settings.
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