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Points of interest recommendation from GPS trajectories / Yaqiong Liu in International journal of geographical information science IJGIS, vol 29 n° 6 (June 2015)  

Public [article]  inInternational journal of geographical information science IJGIS > vol 29 n° 6 (June 2015) . - pp 953-979 Titre : Points of interest recommendation from GPS trajectories Type de document : Article/Communication Auteurs : Yaqiong Liu, Auteur ; Hock Soon Seah, Auteur Année de publication : 2015 Article en page(s) : pp 953-979 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Géomatique web [Termes IGN] analyse de groupement [Termes IGN] calcul d'itinéraire [Termes IGN] point d'intérêt [Termes IGN] positionnement par GPS [Termes IGN] regroupement de données [Termes IGN] trajet (mobilité) [Termes IGN] utilisateur nomade [Termes IGN] visualisation simultanée Résumé : (Auteur) Recently, points of interest (POIs) recommendation has evolved into a hot research topic with real-world applications. In this paper, we propose a novel semantics-enhanced density-based clustering algorithm SEM-DTBJ-Cluster, to extract semantic POIs from GPS trajectories. We then take into account three different factors (popularity, temporal and geographical features) that can influence the recommendation score of a POI. We characterize the impacts caused by popularity, temporal and geographical information, by using different scoring functions based on three developed recommendation models. Finally, we combine the three scoring functions together and obtain a unified framework PTG-Recommend for recommending candidate POIs for a mobile user. To the best of our knowledge, this work is the first that considers popularity, temporal and geographical information together. Experimental results on two real-world data sets strongly demonstrate that our framework is robust and effective, and outperforms the baseline recommendation methods in terms of precision and recall. Numéro de notice : A2015-597 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/13658816.2015.1005094 En ligne : https://doi.org/10.1080/13658816.2015.1005094 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=78011 [article]