Trust and Reputation Modelling for Tourism Recommendations Supported by Crowdsourcing

Tourism crowdsourcing platforms have a profound influence on the tourist behaviour particularly in terms of travel planning. Not only they hold the opinions shared by other tourists concerning tourism resources, but, with the help of recommendation engines, are the pillar of personalised resource re...

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Bibliographic Details
Main Author: Leal, Fátima (author)
Other Authors: Malheiro, Benedita (author), Burguillo, Juan Carlos (author)
Format: bookPart
Language:eng
Published: 2018
Subjects:
Crowdsourcing
Trust & Reputation
Rating Prediction
Tourism
Online Access:http://hdl.handle.net/10400.22/11378
Country:Portugal
Oai:oai:recipp.ipp.pt:10400.22/11378

Internet

http://hdl.handle.net/10400.22/11378

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