Terms of a feather : content-based news discovery and recommendation using Twitter

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Title: Terms of a feather : content-based news discovery and recommendation using Twitter
Authors: Phelan, Owen
McCarthy, Kevin
Smyth, Barry
Bennett, Mike
Permanent link: http://hdl.handle.net/10197/2950
Date: 19-Apr-2011
Abstract: User-generated content has dominated the web’s recent growth and today the so-called real-time web provides us with unprecedented access to the real-time opinions, views, and ratings of millions of users. For example, Twitter’s 200m+ users are generating in the region of 1000+ tweets per second. In this work, we propose that this data can be harnessed as a useful source of recommendation knowledge. We describe a social news service called Buzzer that is capable of adapting to the conversations that are taking place on Twitter to ranking personal RSS subscriptions. This is achieved by a content-based approach of mining trending terms from both the public Twitter timeline and from the timeline of tweets published by a user’s own Twitter friend subscriptions. We also present results of a live-user evaluation which demonstrates how these ranking strategies can add better item filtering and discovery value to conventional recency-based RSS ranking techniques.
Funding Details: Science Foundation Ireland
Type of material: Conference Publication
Publisher: Springer
Copyright (published version): Springer-Verlag, 2011
Keywords: User generated content;Real time web;Twitter;Recommendation
Subject LCSH: Recommender systems (Information filtering)
Social media
User-generated content
Twitter
DOI: 10.1007/978-3-642-20161-5_44
Language: en
Status of Item: Peer reviewed
Is part of: Clough, P.; Foley, C.; Gurrin, C.; Jones, G.J.F.; Kraaij, W.; Lee, H.; Murdoch, V. (eds.). Advances in Information Retrieval : 33rd European Conference on IR Resarch, ECIR 2011, Dublin, Ireland, April 18-21, 2011, Proceedings
Conference Details: Paper presented at the 33rd European Conference on Information Retrieval (ECIR-11), 18-21 April, 2010, DCU, Dublin, Ireland
Appears in Collections:CLARITY Research Collection
Computer Science Research Collection

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