Learning to Combine Collection-centric and Document-centric Models for Resource Selection

Abstract

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.

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Document Details

Document Type
Technical Report
Publication Date
Nov 01, 2014
Accession Number
ADA618727

Entities

People

  • Krisztian Balog

Organizations

  • University of Stavanger

Tags

DTIC Thesaurus Topics

  • Abstracts
  • Classification
  • Computations
  • Data Sets
  • Information Operations
  • Instructions
  • Judgment
  • Language
  • Learning
  • Materials
  • Mental Processes
  • Probability
  • Psychological Phenomena And Processes
  • Standards
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Fields of Study

  • Computer science

Readers

  • Computational Modeling and Simulation
  • Information Retrieval
  • Instructional Design and Training Evaluation.