Using Twitter to recommend real-time topical news

File(s)
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Author(s)
Uri
Date Issued
October 2009
Date Available
29T15:35:33Z March 2010
Abstract
Recommending news stories to users, based on their preferences,has long been a favourite domain for recommender systems research. In this paper, we describe a novel approach to news recommendation that harnesses real-time micro-blogging activity, from a service such as Twitter, as the basis for promoting news stories from a user's favourite RSS feeds. A preliminary evaluation is carried out on an implementation of this technique that shows promising results.
Sponsorship
Science Foundation Ireland
Type of Material
Conference Publication
Publisher
ACM
Copyright (Published Version)
2009 Association for Computing Machinery
Keywords
Subject – LCSH
Recommender systems (Information filtering)
Social media
Real-time data processing
Twitter
DOI
Language
English
Status of Item
Peer reviewed
Part of
Proceedings of the third ACM conference on Recommender systems
Description
Paper presented at the 3rd ACM Conference on Recommender Systems (RecSys 2009), New York City, NY, USA, 22-25 October 2009
ISBN
978-1-60558-435-5
This item is made available under a Creative Commons License
Owning collection
Computer Science Research Collection