Intelligent System for Recommendation of Mobile Services to Consumers
- Resource Type
- Conference
- Authors
- Ganchev, Ivan; Ji, Zhanlin; O'Droma, Mairtin
- Source
- 2022 3rd URSI Atlantic and Asia Pacific Radio Science Meeting (AT-AP-RASC) Radio Science Meeting (AT-AP-RASC), 2022 3rd URSI Atlantic and Asia Pacific. :1-4 May, 2022
- Subject
- Aerospace
Communication, Networking and Broadcast Technologies
Components, Circuits, Devices and Systems
Computing and Processing
Engineered Materials, Dielectrics and Plasmas
Fields, Waves and Electromagnetics
Photonics and Electrooptics
Signal Processing and Analysis
Asia
Quality of experience
Intelligent systems
- Language
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.