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Scientific Article details

Title Social Metrics Applied To Smart Tourism
ID_Doc 41882
Authors Cervantes, O; Gutiérrez, E; Gutiérrez, F; Sánchez, JA
Title Social Metrics Applied To Smart Tourism
Year 2016
Published First International Conference On Smart Data And Smart Cities, 30Th Udms, 4-4, W1
DOI 10.5194/isprs-annals-IV-4-W1-117-2016
Abstract We present a strategy to make productive use of semantically-related social data, from a user-centered semantic network, in order to help users (tourists and citizens in general) to discover cultural heritage, points of interest and available services in a smart city. This data can be used to personalize recommendations in a smart tourism application. Our approach is based on flow centrality metrics typically used in social network analysis: flow betweenness, flow closeness and eccentricity. These metrics are useful to discover relevant nodes within the network yielding nodes that can be interpreted as suggestions (venues or services) to users. We describe the semantic network built on graph model, as well as social metrics algorithms used to produce recommendations. We also present challenges and results from a prototypical implementation applied to the case study of the City of Puebla, Mexico.
Author Keywords Smart City; Smart Recommendation; Social Network Analysis; Graph Processing; User Model; Object of Interest Model
Index Keywords Index Keywords
Document Type Other
Open Access Open Access
Source Conference Proceedings Citation Index - Science (CPCI-S); Conference Proceedings Citation Index - Social Science & Humanities (CPCI-SSH)
EID WOS:000390404300016
WoS Category Computer Science, Information Systems; Geography; Urban Studies
Research Area Computer Science; Geography; Urban Studies
PDF https://www.isprs-ann-photogramm-remote-sens-spatial-inf-sci.net/IV-4-W1/117/2016/isprs-annals-IV-4-W1-117-2016.pdf
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