Intelligent System for Recommendation of Mobile Services to Consumers

Ivan Ganchev; Zhanlin Ji; Mairtin O'Droma

doi:10.23919/AT-AP-RASC54737.2022.9814399

Intelligent System for Recommendation of Mobile Services to Consumers

Ivan Ganchev
, Zhanlin Ji
, Mairtin O'Droma

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

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.

Original language	English
Title of host publication	2022 3rd URSI Atlantic and Asia Pacific Radio Science Meeting, AT-AP-RASC 2022
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9789463968058
DOIs	https://doi.org/10.23919/AT-AP-RASC54737.2022.9814399
Publication status	Published - 2022
Event	3rd URSI Atlantic and Asia Pacific Radio Science Meeting, AT-AP-RASC 2022 - Gran Canaria, Spain Duration: 30 May 2022 → 4 Jun 2022

Publication series

Name	2022 3rd URSI Atlantic and Asia Pacific Radio Science Meeting, AT-AP-RASC 2022

Conference

Conference	3rd URSI Atlantic and Asia Pacific Radio Science Meeting, AT-AP-RASC 2022
Country/Territory	Spain
City	Gran Canaria
Period	30/05/22 → 4/06/22

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 9 Industry, Innovation, and Infrastructure

Access to Document

10.23919/AT-AP-RASC54737.2022.9814399

Cite this

Ganchev, I., Ji, Z., & O'Droma, M. (2022). Intelligent System for Recommendation of Mobile Services to Consumers. In 2022 3rd URSI Atlantic and Asia Pacific Radio Science Meeting, AT-AP-RASC 2022 (2022 3rd URSI Atlantic and Asia Pacific Radio Science Meeting, AT-AP-RASC 2022). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.23919/AT-AP-RASC54737.2022.9814399

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title = "Intelligent System for Recommendation of Mobile Services to Consumers",

abstract = "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.",

author = "Ivan Ganchev and Zhanlin Ji and Mairtin O'Droma",

note = "Publisher Copyright: {\textcopyright} 2022 URSI.; 3rd URSI Atlantic and Asia Pacific Radio Science Meeting, AT-AP-RASC 2022 ; Conference date: 30-05-2022 Through 04-06-2022",

year = "2022",

doi = "10.23919/AT-AP-RASC54737.2022.9814399",

language = "English",

series = "2022 3rd URSI Atlantic and Asia Pacific Radio Science Meeting, AT-AP-RASC 2022",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

booktitle = "2022 3rd URSI Atlantic and Asia Pacific Radio Science Meeting, AT-AP-RASC 2022",

}

Ganchev, I, Ji, Z & O'Droma, M 2022, Intelligent System for Recommendation of Mobile Services to Consumers. in 2022 3rd URSI Atlantic and Asia Pacific Radio Science Meeting, AT-AP-RASC 2022. 2022 3rd URSI Atlantic and Asia Pacific Radio Science Meeting, AT-AP-RASC 2022, Institute of Electrical and Electronics Engineers Inc., 3rd URSI Atlantic and Asia Pacific Radio Science Meeting, AT-AP-RASC 2022, Gran Canaria, Spain, 30/05/22. https://doi.org/10.23919/AT-AP-RASC54737.2022.9814399

Intelligent System for Recommendation of Mobile Services to Consumers. / Ganchev, Ivan; Ji, Zhanlin; O'Droma, Mairtin.
2022 3rd URSI Atlantic and Asia Pacific Radio Science Meeting, AT-AP-RASC 2022. Institute of Electrical and Electronics Engineers Inc., 2022. (2022 3rd URSI Atlantic and Asia Pacific Radio Science Meeting, AT-AP-RASC 2022).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Intelligent System for Recommendation of Mobile Services to Consumers

AU - Ganchev, Ivan

AU - Ji, Zhanlin

AU - O'Droma, Mairtin

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 - https://www.scopus.com/pages/publications/85134879409

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 -

Intelligent System for Recommendation of Mobile Services to Consumers

Abstract

Publication series

Conference

UN SDGs

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