Hashtag retrieval in a microblogging environment

Miles Efron

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Microblog services let users broadcast brief textual messages to people who "follow" their activity. Often these posts contain terms called hashtags, markers of a post's meaning, audience, etc. This poster treats the following problem: given a user's stated topical interest, retrieve useful hashtags from microblog posts. Our premise is that a user interested in topic x might like to find hashtags that are often applied to posts about x. This poster proposes a language modeling approach to hashtag retrieval. The main contribution is a novel method of relevance feedback based on hashtags. The approach is tested on a corpus of data harvested from twitter.com.

Original languageEnglish (US)
Title of host publicationSIGIR 2010 Proceedings - 33rd Annual International ACM SIGIR Conference on Research and Development in Information Retrieval
Pages787-788
Number of pages2
DOIs
StatePublished - Sep 1 2010
Event33rd Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2010 - Geneva, Switzerland
Duration: Jul 19 2010Jul 23 2010

Publication series

NameSIGIR 2010 Proceedings - 33rd Annual International ACM SIGIR Conference on Research and Development in Information Retrieval

Other

Other33rd Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2010
CountrySwitzerland
CityGeneva
Period7/19/107/23/10

Keywords

  • Hashtag
  • Microblog
  • Relevance feedback
  • Twitter

ASJC Scopus subject areas

  • Information Systems

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