Buzzer : online real-time topical news article and source recommender

Files in This Item:
File Description SizeFormat 
AICS-2009.pdf875.39 kBAdobe PDFDownload
Title: Buzzer : online real-time topical news article and source recommender
Authors: Phelan, Owen
McCarthy, Kevin
Smyth, Barry
Permanent link: http://hdl.handle.net/10197/1657
Date: Aug-2009
Abstract: The significant growth of media and user-generated content online has allowed for the widespread adoption of recommender systems due to their proven ability to reduce the workload of a user and personalise content. In this paper, we describe our prototype system called Buzzer, which harnesses real-time micro-blogging activity, such as Twitter, as the basis for promoting personalised content, such as news articles, from RSS feeds. We also introduce several new features, that include a technique for recommending community articles from the pooled resources of all system users and also a mechanism for recommending source RSS feeds to which the user does not subscribe.
Funding Details: Science Foundation Ireland
Type of material: Conference Publication
Publisher: Springer
Copyright (published version): Springer-Verlag Berlin Heidelberg 2010
Subject LCSH: Recommender systems (Information filtering)
Social media
Web personalization
User-generated content
DOI: 10.1007/978-3-642-17080-5_27
Language: en
Status of Item: Not peer reviewed
Is part of: L. Coyle, J. Freyne (ed.s). Artificial Intelligence and Cognitive Science : 20th Irish Conference, AICS 2009 Dublin, Ireland, August 19-21, 2009 : Revised Selected Papers, LNAI 6206
Conference Details: Presentation at the 20th Irish Conference on Artificial Intelligence and Cognitive Science (AICS 09), 19th-21st August 2009, Dublin
Appears in Collections:CLARITY Research Collection
Computer Science Research Collection

Show full item record

SCOPUSTM   
Citations 50

1
Last Week
0
Last month
checked on Jun 22, 2018

Page view(s) 5

255
checked on May 25, 2018

Download(s) 5

2,642
checked on May 25, 2018

Google ScholarTM

Check

Altmetric


This item is available under the Attribution-NonCommercial-NoDerivs 3.0 Ireland. No item may be reproduced for commercial purposes. For other possible restrictions on use please refer to the publisher's URL where this is made available, or to notes contained in the item itself. Other terms may apply.