Collective intelligence-based route recommendation for assisting pedestrian wayfinding in the era of Web 2.0

Journal of Location Based Services

Volumn 6, Issue 1, 2012, Pages 1-21

  Huang, Haosheng ^a   Gartner, Georg ^a  

^a VIENNA UNIVERSITY OF TECHNOLOGY   (Austria)

Author keywords

collective intelligence; pedestrian wayfinding; route calculation; social navigation; user generated content

Indexed keywords

AUSTRIA; COLLECTIVE INTELLIGENCES; FOLLOWING PROBLEM; LOCATION-BASED SERVICES; LOWER COMPLEXITY; MOBILE NAVIGATION SYSTEM; NAVIGATION TASKS; PEDESTRIAN NAVIGATION SYSTEMS; RECOMMENDATION METHODS; SHORTEST ROUTE; SOCIAL NAVIGATION; SOCIAL NAVIGATION SUPPORT; STREET NETWORK; USER-GENERATED CONTENT; WAY-FINDING; WEB 2.0;

NAVIGATION SYSTEMS;

WORLD WIDE WEB;

EID: 84859562077     PISSN: 17489725     EISSN: 17489733     Source Type: Journal    
DOI: 10.1080/17489725.2011.625302     Document Type: Article

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