Towards MANET-based recommender systems for open facilities

Dunkel, Jürgen ; Hermoso, Ramón (Universidad de Zaragoza)

Resumen: Nowadays, most recommender systems are based on a centralized architecture, which can cause crucial issues in terms of trust, privacy, dependability, and costs. In this paper, we propose a decentralized and distributed MANET-based (Mobile Ad-hoc NETwork) recommender system for open facilities. The system is based on mobile devices that collect sensor data about users locations to derive implicit ratings that are used for collaborative filtering recommendations. The mechanisms of deriving ratings and propagating them in a MANET network are discussed in detail. Finally, extensive experiments demonstrate the suitability of the approach in terms of different performance metrics. © 2021, The Author(s).

Idioma: Inglés

DOI: 10.1007/s10489-021-03117-4

Año: 2021

Publicado en: APPLIED INTELLIGENCE 52 (2021), 9045–9066
ISSN: 0924-669X

Factor impacto JCR: 5.019 (2021)

Categ. JCR: COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE rank: 46 / 146 = 0.315 (2021) - Q2 - T1

Factor impacto CITESCORE: 7.8 - Computer Science (Q1)

Factor impacto SCIMAGO: 1.211 - Artificial Intelligence (Q2)

Financiación: info:eu-repo/grantAgreement/ES/AEI-FEDER/TIN2016-78011-C4-3-R
Financiación: info:eu-repo/grantAgreement/ES/AEI/PID2020-113037RB-I00
Financiación: info:eu-repo/grantAgreement/ES/DGA/T64-20R

Tipo y forma: Article (Published version)

Área (Departamento): Área Lenguajes y Sistemas Inf. (Dpto. Informát.Ingenie.Sistms.)