A Proactive Personalized Mobile News Recommendation System

@article{Yeung2010APP,
  title={A Proactive Personalized Mobile News Recommendation System},
  author={Kam Fung Yeung and Yanyan Yang},
  journal={2010 Developments in E-systems Engineering},
  year={2010},
  pages={207-212}
}
Recommendation Systems have become an important research area in mobile computing. Although various recommendation systems have been developed to help users to deal with information overload, few systems focus on proactive information recommendation. This paper presents a news recommender system that proactively pushes just-in-time personalized news articles to mobile users based on user’s contextual information as well as news content. User’s information needs are estimated based on Bayesian… CONTINUE READING
Highly Cited
This paper has 44 citations. REVIEW CITATIONS

Citations

Publications citing this paper.
Showing 1-10 of 25 extracted citations

References

Publications referenced by this paper.
Showing 1-10 of 33 references

National Newspapers - UK - March 2009

Mintel
MintelMarch 2009. • 2009
View 8 Excerpts
Highly Influenced

Oxford Internet Survey 2009 Report: The Internet in Britain

W. H. Dutton
Oxford Internet Institute, University of Oxford, 2009. • 2009
View 7 Excerpts
Highly Influenced

MONERS: A news recommender for the mobile web

Expert Syst. Appl. • 2007
View 4 Excerpts
Highly Influenced

A case study of behavior-driven conjoint analysis on Yahoo!: front page today module

W. Chu
presented at the Proceedings of the 15th ACM SIGKDD international conference on Knowledge discovery and data mining, Paris, France, 2009. • 2009
View 3 Excerpts

Fuzzy set based models and methods of multicriteria group decision making

P. Ekel
Nonlinear Analysis: Theory, Methods & Applications, vol. 71, pp. e409-e419, 2009. • 2009
View 1 Excerpt

Similar Papers

Loading similar papers…