Learning to Combine Collection-centric and Document-centric Models for Resource Selection
STAVANGER UNIV (NORWAY)
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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.
- Computer Systems