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SIGIR
2010
ACM

Hashtag retrieval in a microblogging environment

11 years 3 days ago
Hashtag retrieval in a microblogging environment
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. Categories and Subject Descriptors H.3.3 [Information Search and Retrieval]: Relevance Feedback General Terms Experimentation, Performance, Theory Keywords microblog, twitter, hashtag, relevance feedback
Miles Efron
Added 06 Dec 2010
Updated 06 Dec 2010
Type Conference
Year 2010
Where SIGIR
Authors Miles Efron
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