@InProceedings{NobreNetoBaptCamp:2015:PrDeRo,
               author = "Nobre Neto, Francisco Dantas and Baptista, Cl{\'a}udio de Souza 
                         and Campelo, Cl{\'a}udio E. C.",
          affiliation = "{Universidade Federal de Campina Grande (UFCG)} and {Universidade 
                         Federal de Campina Grande (UFCG)} and {Universidade Federal de 
                         Campina Grande (UFCG)}",
                title = "Prediction of destinations and routes in urban trips with 
                         automated identification of place types and stay points",
            booktitle = "Anais...",
                 year = "2015",
               editor = "Fileto, Renato and Korting, Thales Sehn",
                pages = "80--91",
         organization = "Simp{\'o}sio Brasileiro de Geoinform{\'a}tica, 16. (GEOINFO)",
            publisher = "Instituto Nacional de Pesquisas Espaciais (INPE)",
              address = "S{\~a}o Jos{\'e} dos Campos",
             abstract = "Predicting the destination and the route that someone is likely to 
                         take is useful for various purposes, such as to prevent people 
                         from going through congested routes. Most of existing approaches 
                         to this prediction problem only consider geographic patterns 
                         within their models, although this appears to be not enough for 
                         creating a robust predictor. This paper proposes an approach to 
                         improving the task of predicting route and destination which makes 
                         use of further semantic information associated with destinations 
                         and routes, apart from location patterns. Our model does not 
                         require user's active interaction and is able to automatically 
                         identify stay points (i.e., places users visit) and type of 
                         places. We evaluated our model with real world data collected from 
                         users smartphones and obtained promising results.",
  conference-location = "Campos do Jord{\~a}o",
      conference-year = "27 nov. a 02 dez. 2015",
                 issn = "2179-4820",
             language = "en",
                  ibi = "8JMKD3MGPDW34P/3KP32ES",
                  url = "http://urlib.net/ibi/8JMKD3MGPDW34P/3KP32ES",
           targetfile = "proceedings2015_p7.pdf",
        urlaccessdate = "28 abr. 2024"
}