BIT at TREC 2009 Faceted Blog Distillation Task

Abstract

This Paper presents the work done for the TREC 2009 faceted blog distillation task of blog track. In our approach, we use a mixture of language models based on global representation. Our model can be regarded as a combination of topic relevance model and faceted relevance model. By pseudorelevance feedback method, we can estimate the above two models from topic relevance feedback documents and facet relevance feedback documents respectively. Experimental results on TREC blogs08 collection show the effectiveness of our proposed approach.

Open PDF

Document Details

Document Type
Technical Report
Publication Date
Nov 01, 2009
Accession Number
ADA517718

Entities

People

  • Chunxia Zhang
  • Peng Jiang
  • Qing Yang
  • Zhendong Niu

Organizations

  • Beijing Institute of Technology

Tags

DTIC Thesaurus Topics

  • Abstracts
  • Computer Science
  • Computers
  • Demographic Cohorts
  • Distillation
  • Equations
  • Feedback
  • Generators
  • Information Operations
  • Instructions
  • Language
  • Metadata
  • Online Communications
  • Precision
  • Standards

Fields of Study

  • Computer science

Readers

  • Computational Linguistics
  • Systems Analysis and Design