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Digital Content Recommender on the Internet
March/April 2006 (vol. 21 no. 2)
pp. 70-77
ASCII Text
x 
 
Sung Ho Ha, "Digital Content Recommender on the Internet," IEEE Intelligent Systems, vol. 21, no. 2, pp. 70-77, March/April, 2006.
 
 
BibTex
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@article{ 10.1109/MIS.2006.24,
author = {Sung Ho Ha},
title = {Digital Content Recommender on the Internet},
journal ={IEEE Intelligent Systems},
volume = {21},
number = {2},
issn = {1541-1672},
year = {2006},
pages = {70-77},
doi = {http://doi.ieeecomputersociety.org/10.1109/MIS.2006.24},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - MGZN
JO - IEEE Intelligent Systems
TI - Digital Content Recommender on the Internet
IS - 2
SN - 1541-1672
SP70
EP77
EPD - 70-77
A1 - Sung Ho Ha,
PY - 2006
KW - digital content
KW - personalization
KW - recommender system
KW - data mining
VL - 21
JA - IEEE Intelligent Systems
ER -
 
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
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