An analysis on the impact of geolocation in recommending venues in location-based social networks

The pervasiveness of geo-located devices has opened new possibilities in recommender systems on social networks. In effect, Location-Based Social Networks or LBSNs are a relatively new breed of social networks that let users share their location by triggering ”check-in” events on venues, such as bus...

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Detalles Bibliográficos
Autores principales: Corbellini, Alejandro, Ríos, Carlos, Godoy, Daniela Lis, Schiaffino, Silvia
Formato: Objeto de conferencia
Lenguaje:Inglés
Publicado: 2018
Materias:
Ciencias Informáticas
geo-located devices
social networks
Acceso en línea:http://sedici.unlp.edu.ar/handle/10915/70805
http://47jaiio.sadio.org.ar/sites/default/files/ASAI-19.pdf
Aporte de:
SEDICI (UNLP) de Universidad Nacional de La Plata
id I19-R120-10915-70805
record_format dspace
institution Universidad Nacional de La Plata
institution_str I-19
repository_str R-120
collection SEDICI (UNLP)
language Inglés
topic Ciencias Informáticas
geo-located devices
social networks
spellingShingle Ciencias Informáticas
geo-located devices
social networks
Corbellini, Alejandro
Ríos, Carlos
Godoy, Daniela Lis
Schiaffino, Silvia
An analysis on the impact of geolocation in recommending venues in location-based social networks
topic_facet Ciencias Informáticas
geo-located devices
social networks
description The pervasiveness of geo-located devices has opened new possibilities in recommender systems on social networks. In effect, Location-Based Social Networks or LBSNs are a relatively new breed of social networks that let users share their location by triggering ”check-in” events on venues, such as businesses or historical places. In this paper, we compare the performance of traditional rating and social-based similarity metrics against location-based metrics in a userbased collaborative filtering algorithm that recommends venues or places to visit. This analysis was performed on a large real-world dataset provided by the Yelp social network service. Our results show that, geo-located metrics perform as well as rating or social metrics for selecting like-minded users and, thus, to issue a recommendation.
format Objeto de conferencia
Objeto de conferencia
author Corbellini, Alejandro
Ríos, Carlos
Godoy, Daniela Lis
Schiaffino, Silvia
author_facet Corbellini, Alejandro
Ríos, Carlos
Godoy, Daniela Lis
Schiaffino, Silvia
author_sort Corbellini, Alejandro
title An analysis on the impact of geolocation in recommending venues in location-based social networks
title_short An analysis on the impact of geolocation in recommending venues in location-based social networks
title_full An analysis on the impact of geolocation in recommending venues in location-based social networks
title_fullStr An analysis on the impact of geolocation in recommending venues in location-based social networks
title_full_unstemmed An analysis on the impact of geolocation in recommending venues in location-based social networks
title_sort analysis on the impact of geolocation in recommending venues in location-based social networks
publishDate 2018
url http://sedici.unlp.edu.ar/handle/10915/70805
http://47jaiio.sadio.org.ar/sites/default/files/ASAI-19.pdf
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