Learning to Recommend Point-of-Interest with the Weighted Bayesian Personalized Ranking Method in LBSNs
Point-of-interest (POI) recommendation has been well studied in recent years. However, most of the existing methods focus on the recommendation scenarios where users can provide explicit feedback. In most cases, however, the feedback is not explicit, but implicit. For example, we can only get a user...
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| Principais autores: | , , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
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MDPI AG
2017-02-01
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| Colecção: | Information |
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| Acesso em linha: | http://www.mdpi.com/2078-2489/8/1/20 |
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