@article{ART002219094},
author={Chul Moo Heo},
title={Design of User Profile-based Personalized Recommendation Service for Sport Commerce},
journal={Journal of Knowledge Information Technology and Systems},
issn={1975-7700},
year={2017},
volume={12},
number={2},
pages={387-394},
doi={10.34163/jkits.2017.12.2.017}
TY - JOUR
AU - Chul Moo Heo
TI - Design of User Profile-based Personalized Recommendation Service for Sport Commerce
JO - Journal of Knowledge Information Technology and Systems
PY - 2017
VL - 12
IS - 2
PB - Korea Knowledge Information Technology Society
SP - 387
EP - 394
SN - 1975-7700
AB - Nowadays, many business embed recommendation systems in their web sites, in order to study the tastes of their customers, and achieve some business objectives. Personalized Recommender Service is necessary to latent tendency to optimize service for each user’s unique needs and characteristics. This service is to offer user to customize their service, as well as provide information from their past behaviors. These events have many functions what do they want/need to behaviors and preferences with commerce. Especially, most diversity of commerce serve users with product contents by self-adapting computer system. However, many users don't always know what they want and need, and when their behaviors occasionally change preferences. Besides, users don't find out their purchased history that they want to buy with required product on commerce. After all, personalized recommender service aims to provide with associated services of user’s preference or purchase pattern from the unexpected product information of commercial market. Accordingly, we propose strategies for adaptive personalized recommender service in this paper. Finally, we need to design for adaptable recommender service (tag-based ranking) to support sport commerce. In addition, we make use of adaptive service design, detecting service with user’s data modeling.
KW - Personalized recommender service;Commercial market;User behavior and preference;Adaptive service design;Personalized recommender service (PRS)
DO - 10.34163/jkits.2017.12.2.017
ER -
Chul Moo Heo. (2017). Design of User Profile-based Personalized Recommendation Service for Sport Commerce. Journal of Knowledge Information Technology and Systems, 12(2), 387-394.
Chul Moo Heo. 2017, "Design of User Profile-based Personalized Recommendation Service for Sport Commerce", Journal of Knowledge Information Technology and Systems, vol.12, no.2 pp.387-394. Available from: doi:10.34163/jkits.2017.12.2.017
Chul Moo Heo "Design of User Profile-based Personalized Recommendation Service for Sport Commerce" Journal of Knowledge Information Technology and Systems 12.2 pp.387-394 (2017) : 387.
Chul Moo Heo. Design of User Profile-based Personalized Recommendation Service for Sport Commerce. 2017; 12(2), 387-394. Available from: doi:10.34163/jkits.2017.12.2.017
Chul Moo Heo. "Design of User Profile-based Personalized Recommendation Service for Sport Commerce" Journal of Knowledge Information Technology and Systems 12, no.2 (2017) : 387-394.doi: 10.34163/jkits.2017.12.2.017
Chul Moo Heo. Design of User Profile-based Personalized Recommendation Service for Sport Commerce. Journal of Knowledge Information Technology and Systems, 12(2), 387-394. doi: 10.34163/jkits.2017.12.2.017
Chul Moo Heo. Design of User Profile-based Personalized Recommendation Service for Sport Commerce. Journal of Knowledge Information Technology and Systems. 2017; 12(2) 387-394. doi: 10.34163/jkits.2017.12.2.017
Chul Moo Heo. Design of User Profile-based Personalized Recommendation Service for Sport Commerce. 2017; 12(2), 387-394. Available from: doi:10.34163/jkits.2017.12.2.017
Chul Moo Heo. "Design of User Profile-based Personalized Recommendation Service for Sport Commerce" Journal of Knowledge Information Technology and Systems 12, no.2 (2017) : 387-394.doi: 10.34163/jkits.2017.12.2.017
