Obtaining a tailored and integrated information about events and points of interest of an urban area is becoming a major challenging issue for users like citizens and tourists that aim ateffectively enjoying the urban life initiatives. Inthis paper, we propose a comprehensive approach for urban information integration based on: i) similarity clusters, to aggregate web contents with different nature but similar topic; ii) smart city views, to package and deliver tailored cluster contents to the final users filtered according to user interest, geo-location, and time-based criteria, and iii) crowdsourced recommendations, to highlight the city view contents based on event freshness and popularity.
|Titolo:||Urban information integration through smart city views|
MONTANELLI, STEFANO (Primo)
|Parole Chiave:||Crowdsourcing-based recommendations; Smart city view; Urban information integration|
|Settore Scientifico Disciplinare:||Settore INF/01 - Informatica|
|Data di pubblicazione:||2014|
|Digital Object Identifier (DOI):||10.1504/IJKL.2014.067147|
|Appare nelle tipologie:||01 - Articolo su periodico|