Finding useful users on twitter : twittomender the followee recommender

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Title: Finding useful users on twitter : twittomender the followee recommender
Authors: Hannon, John
McCarthy, Kevin
Smyth, Barry
Permanent link: http://hdl.handle.net/10197/3477
Date: 21-Apr-2011
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.
Funding Details: Science Foundation Ireland
Other funder
Type of material: Conference Publication
Publisher: Springer
Copyright (published version): Springer-Verlag Berlin Heidelberg 2011
Keywords: TwitterRecommendation
Subject LCSH: Online social networks
Twitter
Recommender systems (Information filtering);
DOI: 10.1007/978-3-642-20161-5_94
Other versions: http://dx.doi.org/10.1007/978-3-642-20161-5_94
Language: en
Status of Item: Peer reviewed
Is 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
Conference Details: Presented at the 33rd European Conference on Information Retrieval (ECIR-11), DCU, Dublin, Ireland, April, 18-21, 2011
ISBN: 978-3-642-20160-8
Appears in Collections:CLARITY Research Collection
Computer Science Research Collection

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