In the current Big Data era, mobile context-aware recommender systems can play a key role to help citizens and tourists to make good decisions. Ideally, these systems should be pro-active, able to detect the right moment and place to offer suggestions of a specific type of item or activity to the user. For this purpose, push-based recommender systems can be used, exploiting context rules to decide when a specific type of recommendation should be triggered.
However, experiences regarding the implementation of these types of systems are scarce. Motivated by this, we have designed and developed the prototype R-Rules (Recommendation Rules!), which focuses on the ability to fire suitable recommendations, without user intervention, whenever it is required. With R-Rules, the mobile user can activate, deactivate, parametrize, and define rules in an easy way, to obtain a better user personalization. Besides, the recommendation triggering is performed on the mobile device, which allows minimizing the amount of wireless communications and helps to protect the user's privacy (as context data is evaluated locally on the device, rather than by an external server).
This invention has been registered in Spain (University of Zaragoza — PII-2021-0029).
The intellectual property of this software has been protected at the University of Zaragoza (invention record PII-2021-0029).
Sergio Ilarri, Raquel Trillo-Lado, "An Approach for Proactive Mobile Recommendations Based on User-Defined Rules", Expert Systems With Applications, ISSN 0957-4174, volume 242, pp. 122714:1-122714:22, Elsevier, May 2024. Presented as a relevant work (work already published) in the XXVIII Jornadas de Ingeniería del Software y Bases de Datos (JISBD 2024), A Coruña (Spain). DOI: 10.1016/j.eswa.2023.122714.
Sergio Ilarri, Raquel Trillo-Lado, "An Approach for Proactive Mobile Recommendations Based on User-Defined Rules (Relevant Work — artículo relevante ya publicado)", XXVIII Jornadas de Ingeniería del Software y Bases de Datos (JISBD 2024), A Coruña (España), 1 pp., SISTEDES, June 2024. Actas completas: en la biblioteca de Sistedes. Handle: 11705/JISBD/2024/118.
Sergio Ilarri, Irene Fumanal, Raquel Trillo-Lado, "An Experience with the Implementation of a Rule-Based Triggering Recommendation Approach for Mobile Devices", 19th International Conference on Advances in Mobile Computing & Multimedia (MoMM 2021), ACM Press, ISBN 978-1-4503-9556-4, pp. 568-576, November-December 2021. Online conference due to the COVID-19 pandemic. DOI: 10.1145/3487664.3487806. Freely accessible through the ACM Author-Izer service at this web page (just click on the title of the publication).
Record of invention (University of Zaragoza — PII-2021-0029): "Sistema de recomendación proactivo basado en reglas para dispositivos móviles" / "Proactive mobile recommender system for mobile devices".
