Learning to Combine Collection-centric and Document-centric Models for Resource Selection
نویسنده
چکیده
This paper describes our participation in the Federated Web Search track at TREC 2014. Our main focus is on the resource selection task, where we employ a learning-to-rank approach to combine various (instantiations of) resource ranking models. Further, we show that vertical selection can be run on the output from resource selection, and that it directly benefits from the improvements of thereof.
منابع مشابه
Collection and Document Langauge Models for Resrouce Selection
This paper describes our participation in the resource selection task of the Federated Web Search track at TREC 2013. We employ two general strategies, collection-centric and documentcentric, formulated in a language modeling framework. Results show that the document-centric approach delivers solid performance.
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