UCAS at TREC-2014 Microblog Track

Abstract

University of Chinese Academy of Sciences (UCAS) participated in the first task, namely temporally-anchored ad hoc retrieval in Microblog track, aiming to efficiently and effectively retrieve tweets. Based on the conventional application of learning to rank, we incorporated a machine learning approach, such as logistic regression for selecting high-quality training data for improving the effectiveness. Except for the tweets' content features, we also used the features of the web information, external evidence, which is related with the URLS to improve the effectiveness.

Open PDF

Document Details

Document Type
Technical Report
Publication Date
Nov 01, 2014
Accession Number
ADA618608

Entities

People

  • Ben He
  • Dongxing Li
  • Qingli Ma

Organizations

  • Chinese Academy of Sciences

Tags

Communities of Interest

  • Autonomy

DTIC Thesaurus Topics

  • Abstracts
  • Algorithms
  • Computers
  • Control Systems Engineering
  • Engineering
  • Formal Languages
  • Information Operations
  • Instructions
  • Language
  • Learning
  • Machine Learning
  • Schools
  • Signal Processing
  • Standards
  • Training
  • Universities

Fields of Study

  • Computer science

Readers

  • Information Retrieval
  • Regression Analysis.
  • STEM Education

Technology Areas

  • AI & ML
  • AI & ML - Information Retrieval
  • AI & ML - Neural Networks