Using twitter to recommend real-time topical news

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. Categories and Subject Descriptors H.4 [Information Systems Applications]: Miscellaneous General Terms Algorithms, Experimentation, Theory Keywords Content-based recommendation, News recommendation, Realtime recommendation, Social recommendation, Twitter

• Type: Conference
• Year: 2009
• Where: RECSYS
• Authors: Owen Phelan, Kevin McCarthy, Barry Smyth
• Keywords: Control Systems, Keywords Content-based Recommendation, Real-time Micro-blogging Activity, RECSYS 2009, User’s Favourite Rss