QCRI at TREC 2014: Applying the KISS Principle for the TTG Task in the Microblog Track

Abstract

In this paper we present our work on the ad-hoc search and the tweet timeline generation (TTG) tasks of TREC-2014 Microblog track. Regarding the ad-hoc search task, we used our best developed system over the last year, which include hyperlink-based query expansion and re-ranking models fusion. For the new tweet timeline generation task, we applied a straightforward and simple approach, which depends on clustering retrieval results based on Jaccard similarities between tweets. Our best adhoc results achieved the fifth rank and seventh rank among 21 participating groups when evaluated using P@30 and MAP respectively. However, our best TTG run achieved the second rank among participants, which shows that our simple TTG approach was more effective than most of the used TTG systems in TREC.

Open PDF

Document Details

Document Type
Technical Report
Publication Date
Nov 01, 2014
Accession Number
ADA618657

Entities

People

  • Tarek Elganainy
  • Walid Magdy
  • Wei Gao
  • Zhongyu Wei

Organizations

  • Qatar Computing Research Institute

Tags

Communities of Interest

  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Abstracts
  • Algorithms
  • Clustering
  • Demographic Cohorts
  • Equations
  • Extraction
  • Feedback
  • Frequency
  • Hong Kong
  • Information Operations
  • Instructions
  • Language
  • Learning
  • Personality
  • Standards
  • Training
  • Validation

Fields of Study

  • Computer science

Readers

  • Information Retrieval