This Article 
   
 Share 
   
 Bibliographic References 
   
 Add to: 
 
Digg
Furl
Spurl
Blink
Simpy
Google
Del.icio.us
Y!MyWeb
 
 Search 
   
Digital Content Recommender on the Internet
March/April 2006 (vol. 21 no. 2)
pp. 70-77
Sung Ho Ha, Kyungpook National University
While most techniques for recommending digital content have focused on content's similarity, this system makes recommendations to users on the basis of their preferences. The author's personalization system adopts a methodology applicable for Internet service providers as well as news sites. A user preference score prioritizes recommended articles according to their relevance to the user's preferences. A prototype system, applied to an English news site on the Internet, tests the methodology's feasibility and effectiveness.
Index Terms:
digital content, personalization, recommender system, data mining
Citation:
Sung Ho Ha, "Digital Content Recommender on the Internet," IEEE Intelligent Systems, vol. 21, no. 2, pp. 70-77, March-April 2006, doi:10.1109/MIS.2006.24
Usage of this product signifies your acceptance of the Terms of Use.