Recommendation of Tourism Resources Supported by Crowdsourcing

Context-aware recommendation of personalised tourism resources is possible because of personal mobile devices and powerful data filtering algorithms. The devices contribute with computing capabilities, on board sensors, ubiquitous Internet access and continuous user monitoring, whereas the filtering...

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Bibliographic Details
Main Author: Leal, Fátima (author)
Other Authors: Malheiro, Benedita (author), Burguillo, Juan Carlos (author)
Format: article
Language:eng
Published: 2016
Subjects:
Crowdsourcing
Big Data
Trust and Reputation
Recommendation
Online Access:http://hdl.handle.net/10400.22/7964
Country:Portugal
Oai:oai:recipp.ipp.pt:10400.22/7964

Internet

http://hdl.handle.net/10400.22/7964

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