TY - JOUR
T1 - A Mobile Service Recommendation System Using Multi-Criteria Ratings
AU - Shao, Zhuang
AU - Chen, Zhikui
AU - Huang, Xiaodi
N1 - Imported on 12 Apr 2017 - DigiTool details were: month (773h) = 2010; Journal title (773t) = International Journal of Interdisciplinary Telecommunications and Networking. ISSNs: 1941-8663;
PY - 2010
Y1 - 2010
N2 - With the rapid advancement of wireless technologies and mobile devices, mobile services offer great convenience and huge opportunities for service creation. However, information overload make service recommendation become a crucial issue in mobile services. Although traditional single-criteria recommendation systems have been successful in a number of personalization applications, obviously individual criterion cannot satisfy consumers' demands. Relying on multi-criteria ratings, this paper presents a novel recommendation system using the multi-agent technology. In this system, the ratings with respect to the three criteria are aggregated into an overall service ranking list by a rank aggregation algorithm. Furthermore, all of the services are classified into several clusters to reduce information overload further. Finally, Based on multi-criteria rank aggregation, the prototype of a recommendation system is implemented. Successful applications of this recommendation system have demonstrated the efficiency of the proposed approach.
AB - With the rapid advancement of wireless technologies and mobile devices, mobile services offer great convenience and huge opportunities for service creation. However, information overload make service recommendation become a crucial issue in mobile services. Although traditional single-criteria recommendation systems have been successful in a number of personalization applications, obviously individual criterion cannot satisfy consumers' demands. Relying on multi-criteria ratings, this paper presents a novel recommendation system using the multi-agent technology. In this system, the ratings with respect to the three criteria are aggregated into an overall service ranking list by a rank aggregation algorithm. Furthermore, all of the services are classified into several clusters to reduce information overload further. Finally, Based on multi-criteria rank aggregation, the prototype of a recommendation system is implemented. Successful applications of this recommendation system have demonstrated the efficiency of the proposed approach.
U2 - 10.4018/jitn.2010100103
DO - 10.4018/jitn.2010100103
M3 - Article
VL - 2
SP - 29
EP - 39
JO - International Journal of Interdisciplinary Telecommunications and Networking
JF - International Journal of Interdisciplinary Telecommunications and Networking
SN - 1941-8663
IS - 4
ER -