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.)