The pursuit of happiness : searching for worthy followees on twitter

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Title: The pursuit of happiness : searching for worthy followees on twitter
Authors: Hannon, John
McCarthy, Kevin
Smyth, Barry
Permanent link: http://hdl.handle.net/10197/3451
Date: 31-Aug-2011
Abstract: We are living in an age of information overload, where it can be difficult to define which information is relevant and important to the end user at a point in time. In this paper, we introduce a solution to apportioning this constant flow of information by going to the source of the content, namely the producers. This paper examines an application for searching for pertinent friends on the popular microblogging service, Twitter1 and our approach to curtail the cold start problem that new users of the service face. We introduce our search technology which is capable of finding the producers of wanted content and suggest connecting to them as followees on Twitter. We also prove the usefulness of this technology through the results of a live user experiment carried out on these cold start users.
Funding Details: Science Foundation Ireland
Type of material: Conference Publication
Publisher: Intelligent Systems Research Centre
Keywords: Recommender systemsTwitter
Subject LCSH: Recommender systems (Information filtering)
Twitter
Other versions: http://isrc.ulster.ac.uk/aics2011/images/files/AICS_2011_Proceedings.pdf
Language: en
Status of Item: Peer reviewed
Is part of: AICS 2011 : Proceedings of the 22nd Irish Conference on Artificial Intelligence and Cognitive Science : 31 August - 2 September, 2011 : University of Ulster - Magee
Conference Details: Paper presented at the 22nd Irish Conference on Artificial Intelligence and Cognitive Science (AICS 2011), University of Ulster, Northern Ireland, 31 August - 2 September, 2011
metadata.dc.date.available: 2012-01-26T15:08:36Z
Appears in Collections:CLARITY Research Collection
FMC² Research Collection
Computer Science Research Collection

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