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  5. Finding useful users on twitter : twittomender the followee recommender
 
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Finding useful users on twitter : twittomender the followee recommender

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Author(s)
Hannon, John 
McCarthy, Kevin 
Smyth, Barry 
Uri
http://hdl.handle.net/10197/3477
Date Issued
21 April 2011
Date Available
03T12:03:47Z February 2012
Abstract
This paper examines an application for finding pertinent friends (followees) on Twitter. Whilst Twitter provides a great basis for receiving information, we believe a potential downfall lies in the lack of an effective way in which users of Twitter can find other Twitter users to follow. We apply several recommendation techniques to build a followee recommender for Twitter. We evaluate a variety of different recommendation strategies, using real-user data, to demonstrate the potential for this recommender system to correctly identify and promote interesting users who are worth following.
Sponsorship
Science Foundation Ireland
Other funder
Other Sponsorship
Amdocs Inc.
Type of Material
Conference Publication
Publisher
Springer
Copyright (Published Version)
Springer-Verlag Berlin Heidelberg 2011
Keywords
  • Twitter

  • Recommendation

Subject – LCSH
Online social networks
Twitter
Recommender systems (Information filtering);
DOI
10.1007/978-3-642-20161-5_94
Web versions
http://dx.doi.org/10.1007/978-3-642-20161-5_94
Language
English
Status of Item
Peer reviewed
Part of
Clough, P. et al. (eds.). Advances in Information Retrieval 33rd European Conference on IR Research, ECIR 2011, Dublin, Ireland, April 18-21, 2011. Proceedings
Description
Presented at the 33rd European Conference on Information Retrieval (ECIR-11), DCU, Dublin, Ireland, April, 18-21, 2011
ISBN
978-3-642-20160-8
This item is made available under a Creative Commons License
https://creativecommons.org/licenses/by-nc-sa/1.0/
Owning collection
Computer Science Research Collection
Scopus© citations
42
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Jan 28, 2023
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