TY - GEN
T1 - Intelligent System for Recommendation of Mobile Services to Consumers
AU - Ganchev, Ivan
AU - Ji, Zhanlin
AU - O'Droma, Mairtin
N1 - Publisher Copyright:
© 2022 URSI.
PY - 2022
Y1 - 2022
N2 - This paper presents an intelligent system for recommendation of services to mobile users (consumers) by considering the current context. The system builds up and dynamically manages personal profiles of consumers, aiming to facilitate and optimize the service discovery and recommendation process, in support of consumers' choices for getting the best 'cost / quality of experience (QoE)' ratio when utilizing different mobile services.
AB - This paper presents an intelligent system for recommendation of services to mobile users (consumers) by considering the current context. The system builds up and dynamically manages personal profiles of consumers, aiming to facilitate and optimize the service discovery and recommendation process, in support of consumers' choices for getting the best 'cost / quality of experience (QoE)' ratio when utilizing different mobile services.
UR - http://www.scopus.com/inward/record.url?scp=85134879409&partnerID=8YFLogxK
U2 - 10.23919/AT-AP-RASC54737.2022.9814399
DO - 10.23919/AT-AP-RASC54737.2022.9814399
M3 - Conference contribution
AN - SCOPUS:85134879409
T3 - 2022 3rd URSI Atlantic and Asia Pacific Radio Science Meeting, AT-AP-RASC 2022
BT - 2022 3rd URSI Atlantic and Asia Pacific Radio Science Meeting, AT-AP-RASC 2022
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 3rd URSI Atlantic and Asia Pacific Radio Science Meeting, AT-AP-RASC 2022
Y2 - 30 May 2022 through 4 June 2022
ER -