Building and evaluating a location-based service recommendation system with a preference adjustment mechanism

2009 ◽  
Vol 36 (2) ◽  
pp. 3543-3554 ◽  
Author(s):  
Mu-Hsing Kuo ◽  
Liang-Chu Chen ◽  
Chien-Wen Liang
Author(s):  
Zhuang Shao ◽  
Zhikui Chen ◽  
Xiaodi Huang

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.


Author(s):  
Seung-Min Han ◽  
Mohammad Mehedi Hassan ◽  
Chang-Woo Yoon ◽  
Hyun-Woo Lee ◽  
Eui-Nam Huh

Author(s):  
Amar Khelloufi ◽  
Huansheng Ning ◽  
Sahraoui Dhelim ◽  
Tie Qiu ◽  
Jianhua Ma ◽  
...  

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