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...
Guardado en:
| Autores principales: | , , , |
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| Formato: | Objeto de conferencia |
| Lenguaje: | Inglés |
| Publicado: |
2018
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| Materias: | |
| Acceso en línea: | http://sedici.unlp.edu.ar/handle/10915/70805 http://47jaiio.sadio.org.ar/sites/default/files/ASAI-19.pdf |
| Aporte de: |
| id |
I19-R120-10915-70805 |
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| 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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