Name
Abstract | ||
|---|---|---|
AbstractLocation-based recommender systems LBRSs are gaining importance with the proliferation of location-based services provided by mobile devices as well as user-generated content in social networks. Collaborative approaches for recommendation rely on the opinions of like-minded people, so-called neighbours, for prediction. Thus, an adequate selection of such neighbours becomes essential for achieving good prediction results. The aim of this work is to explore different strategies to select neighbours in the context of a collaborative filtering-based recommender system for POI places of interest recommendations. Whereas standard methods are based on user similarity to delimit a neighbourhood, in this work several strategies are proposed based on direct social relationships and geographical information extracted from location-based social networks LBSNs. The impact of the different strategies proposed has been evaluated and compared against the traditional collaborative filtering approach using a dataset from a popular network as Foursquare. In general terms, the proposed strategies for selecting neighbours based on the different elements available in a LBSN achieve better results than the traditional collaborative filtering approach. Our findings can be helpful both to researchers in the recommender systems area and to recommender system developers in the context of LBSNs, since they can take into account our results to design and provide more effective services considering the huge amount of knowledge produced in LBSNs. |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1177/0165551518761000 | Periodicals |
Keywords | Field | DocType |
Location-based social networks,recommender systems | Recommender system,Social network,Information retrieval,Computer science,Mobile device | Journal |
Volume | Issue | ISSN |
44 | 6 | 0165-5515 |
Citations | PageRank | References |
0 | 0.34 | 4 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Carlos Rios | 1 | 0 | 1.01 |
| Silvia N. Schiaffino | 2 | 159 | 17.42 |
| Daniela Godoy | 3 | 502 | 38.22 |