Incorporating Temporal Information in Microblog Retrieval

Abstract

Microblog retrieval is the task of retrieving relevant tweets in response a query. This paper presents our methods and results for the Real-time Ad-hoc Task in the TREC Microblog Track 2012. Our experiments focused on different ways of using temporal information to improve retrieval. Our four runs include three methods that use temporal information and a baseline method that does not. One of our temporal methods favors recent tweets and the other two favor tweets from time periods associated with a high concentration of tweets predicted relevant (potentially, but not necessarily the recent past).

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Document Details

Document Type
Technical Report
Publication Date
Nov 01, 2012
Accession Number
ADA580691

Entities

People

  • Craig Willis
  • Jaime Arguello
  • Richard Medlin

Organizations

  • University of Illinois Urbana–Champaign

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  • Abstracts
  • Algorithms
  • Arithmetic
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Fields of Study

  • Computer science

Readers

  • Information Retrieval
  • Systems Analysis and Design