BIT at TREC 2010 Blog Track: Faceted Blog Distillation

Abstract

This paper presents the work done for the TREC 2010 faceted blog distillation task. As the approach used in TREC 2009, a mixture of language models based on global representation is employed to rank the entire blogs by relevance and facets. The parameters in our approach are adjusted according to the experimental results in TREC 2009. In addition, we make use of the results evaluated in TREC 2009 to train a SVM classifier. This classifier is used to filter and re-rank the results obtained by the mixture model.

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Document Details

Document Type
Technical Report
Publication Date
Nov 01, 2010
Accession Number
ADA546550

Entities

People

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

Organizations

  • Beijing Institute of Technology

Tags

DTIC Thesaurus Topics

  • Abstracts
  • Applied Computer Science
  • Artificial Intelligence
  • Classification
  • Computer Languages
  • Computer Science
  • Demographic Cohorts
  • Distillation
  • Formal Languages
  • Information Operations
  • Language
  • Machine Learning
  • Online Communications
  • Standards

Fields of Study

  • Computer science

Readers

  • Computer Engineering
  • Neural Network Machine Learning.