Location-aware recommendation systems: Where we are and where we recommend to go
Rodríguez-Hernández, MC. ; Ilarri, S. (Universidad de Zaragoza) ; Trillo-Lado, R. (Universidad de Zaragoza) ; Hermoso, R. (Universidad de Zaragoza)
Resumen: Recommendation systems have been successfully used to provide items of interest to the users (e.g., movies, music, books, news, images). However, traditional recommenda- tion systems do not take into account the location as a relevant factor when providing suggestions. On the other hand, nowadays, there exist an increasing amount of geo- referenced data and users are usually interested only in nearby items (e.g., restaurants, museums, cinemas). Hence, the emergence of location-aware recommendation systems have acquired a great attention by the research community in the last decade.
In this paper, we provide a survey of location-aware rec- ommendation systems in mobile computing scenarios. Firstly, we describe briefly the fundamentals of recommendation sys- tems. Then, we introduce some of the most relevant existing approaches for location-aware recommendation. Moreover, we present the main applications of this type of systems in several recommendation scenarios, such as music, news, restaurants, etc. Finally, we discuss new avenues and open issues in the area.
Idioma: Inglés
Año: 2015
Publicado en: CEUR Workshop Proceedings 1405 (2015), 1-8
ISSN: 1613-0073
Originalmente disponible en: Texto completo de la revista
Factor impacto SCIMAGO: 0.195 - Computer Science (miscellaneous)
Financiación: info:eu-repo/grantAgreement/ES/MINECO/TIN2013-46238-C4-4-R
Tipo y forma: Article (Published version)
Área (Departamento): Área Lenguajes y Sistemas Inf. (Dpto. Informát.Ingenie.Sistms.)
You must give appropriate credit, provide a link to the license, and indicate if changes were made. You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use. You may not use the material for commercial purposes. If you remix, transform, or build upon the material, you must distribute your contributions under the same license as the original.
Exportado de SIDERAL (2021-01-21-10:57:18)
Visitas y descargas
In this paper, we provide a survey of location-aware rec- ommendation systems in mobile computing scenarios. Firstly, we describe briefly the fundamentals of recommendation sys- tems. Then, we introduce some of the most relevant existing approaches for location-aware recommendation. Moreover, we present the main applications of this type of systems in several recommendation scenarios, such as music, news, restaurants, etc. Finally, we discuss new avenues and open issues in the area.
Idioma: Inglés
Año: 2015
Publicado en: CEUR Workshop Proceedings 1405 (2015), 1-8
ISSN: 1613-0073
Originalmente disponible en: Texto completo de la revista
Factor impacto SCIMAGO: 0.195 - Computer Science (miscellaneous)
Financiación: info:eu-repo/grantAgreement/ES/MINECO/TIN2013-46238-C4-4-R
Tipo y forma: Article (Published version)
Área (Departamento): Área Lenguajes y Sistemas Inf. (Dpto. Informát.Ingenie.Sistms.)
You must give appropriate credit, provide a link to the license, and indicate if changes were made. You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use. You may not use the material for commercial purposes. If you remix, transform, or build upon the material, you must distribute your contributions under the same license as the original. Exportado de SIDERAL (2021-01-21-10:57:18)
Permalink:
Visitas y descargas
Este artículo se encuentra en las siguientes colecciones:
Articles
Record created 2016-01-27, last modified 2021-01-21