Query Transformations for Result Merging

Abstract

This paper describes Carnegie Mellon University's entry at the TREC 2014 Federated Web Search track (FedWeb14). Federated search pipelines typically have two components: (i) resource-selection, and (ii) result-merging. This work documents experiments to modify queries to merge results in the federated-search pipeline. Approaches from previous attempts at solving this problem involved custom query- document similarity scores or rank-combination methods. In this document, we explore how term-dependence models and query expansion strategies influence result-merging.

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Document Details

Document Type
Technical Report
Publication Date
Nov 01, 2014
Accession Number
ADA618630

Entities

People

  • Jamie Callan
  • Shriphani Palakodety

Organizations

  • Carnegie Mellon University

Tags

DTIC Thesaurus Topics

  • Abstracts
  • Algorithms
  • Computer Science
  • Computers
  • Dimensionality Reduction
  • Embedding
  • Hard Copy
  • Information Retrieval
  • Language
  • Linear Algebra
  • Natural Language Processing
  • Natural Languages
  • Neural Networks
  • Standards
  • Statistics
  • Vector Spaces
  • Vocabulary

Fields of Study

  • Computer science

Readers

  • Applied Combinatorial Optimization and Logic Circuit Design.
  • Information Retrieval
  • Research Science/Academic Research