ACM Home Page
Please provide us with feedback. Feedback
Using twitter to recommend real-time topical news
Full text PdfPdf (3.71 MB)
Source
ACM Conference On Recommender Systems archive
Proceedings of the third ACM conference on Recommender systems table of contents
New York, New York, USA
SESSION: Short papers table of contents
Pages 385-388  
Year of Publication: 2009
ISBN:978-1-60558-435-5
Authors
Owen Phelan  University College Dublin, Dublin, Ireland
Kevin McCarthy  University College Dublin, Dublin, Ireland
Barry Smyth  University College Dublin, Dublin, Ireland
Sponsor
SIGCHI: ACM Special Interest Group on Computer-Human Interaction
Publisher
ACM  New York, NY, USA
Bibliometrics
Downloads (6 Weeks): 44,   Downloads (12 Months): 44,   Citation Count: 0
Additional Information:

abstract   references   index terms  

Tools and Actions: Request Permissions Request Permissions    Review this Article  
DOI Bookmark: Use this link to bookmark this Article: http://doi.acm.org/10.1145/1639714.1639794
What is a DOI?

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.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
1
Daniel Billsus and Michael J. Pazzani. A personal news agent that talks, learns and explains. In In Proceedings of the Third International Conference on Autonomous Agents, pages 268--275. ACM Press, 1999.
 
2
Akshay Java, Xiaodan Song, Tim Finin, and Belle Tseng. Why we twitter: understanding microblogging usage and communities. In WebKDD/SNA-KDD '07: Proceedings of the 9th WebKDD and 1st SNA-KDD 2007 workshop on Web mining and social network analysis, pages 56--65, NY, USA, 2007. ACM.
 
3
Tomonari Kamba, Krishna Bharat, and Michael C. Albers. The krakatoa chronicle -- an interactive, personalized, newspaper on the web. In Proceedings of the Fourth International World Wide Web Conference, pages 159--170, 1995.
 
4
Balachander Krishnamurthy, Phillipa Gill, and Martin Arlitt. A few chirps about twitter. In WOSP '08: Proceedings of the First workshop on Online social networks, pages 19--24, NY, USA, 2008. ACM.
 
5
Ken Lang. Newsweeder: learning to filter netnews. In Proceedings of the 12th International Conference on Machine Learning, pages 331--339. Morgan Kaufmann publishers Inc.: San Mateo, CA, USA, 1995.
 
6
Michael Pazzani and Daniel Billsus. Content-based recommendation systems. The Adaptive Web, pages 325--341, 2007.
 
7
G. Salton and M. J. Mcgill. Introduction to Modern Information Retrieval. McGraw-Hill, Inc., New York, NY, USA, 1986.
 
8
B. Smyth and P. Cotter. A personalised tv listings service for the digital tv age. Knowledge-Based Systems, 13(2--3):53 -- 59, 2000.