IRIT at TREC Microblog 2012: Adhoc Task

Abstract

This paper describes the participation of the IRIT lab, University of Toulouse France, to the Microblog Track of TREC 2012. Two different models are experimented by our team for the adhoc task: (i) a Bayesian network retrieval model for tweet search and (ii) a feature learning model for relevance classification. Experimental results show that Bayesian network retrieval model improves the performances comparing to the track median.

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Document Details

Document Type
Technical Report
Publication Date
Nov 01, 2012
Accession Number
ADA581247

Entities

People

  • Firas Damak
  • Guillaume Cabanac
  • Karen Pinel-sauvagnat
  • Lamjed B. Jabeur
  • Lynda Tamine
  • Mohand Boughanem

Organizations

  • University of Toulouse (1896-1968)

Tags

Communities of Interest

  • Autonomy

DTIC Thesaurus Topics

  • Applied Computer Science
  • Artificial Intelligence
  • Artificial Intelligence Software
  • Bayesian Networks
  • Classification
  • Computer Programs
  • Computer Science
  • Frequency
  • Information Retrieval
  • Learning
  • Machine Learning
  • Microblogging Services
  • Models
  • Online Communications
  • Probability
  • Social Media
  • Social Networks

Fields of Study

  • Computer science

Readers

  • Information Retrieval
  • Neural Network Machine Learning.

Technology Areas

  • AI & ML
  • AI & ML - Bayesian Inference
  • AI & ML - Information Retrieval