The IRMA Community
Newsletters
Research IRM
Click a keyword to search titles using our InfoSci-OnDemand powered search:
|
A Mobile Service Recommendation System Using Multi-Criteria Ratings
Abstract
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.
Related Content
Taoufik Benyetho, Larbi El Abdellaoui, Abdelali Tajmouati, Abdelwahed Tribak, Mohamed Latrach.
© 2017.
33 pages.
|
Naveen Jaglan, Samir Dev Gupta, Binod Kumar Kanaujia, Shweta Srivastava.
© 2017.
51 pages.
|
Anirban Karmakar.
© 2017.
30 pages.
|
Hassan Elmajid, Jaouad Terhzaz, Hassan Ammor.
© 2017.
31 pages.
|
Salvatore Caorsi, Claudio Lenzi.
© 2017.
23 pages.
|
Abdessamed Chinig, Ahmed Errkik, Abdelali Tajmouati, Hamid Bennis, Jamal Zbitou, Mohamed Latrach.
© 2017.
35 pages.
|
Fouad Aytouna, Mohamed Aghoutane, Naima Amar Touhami, Mohamed Latrach.
© 2017.
39 pages.
|
|
|