Prediction and Analysis of Hotel Ratings from Crowd-Sourced Data

Crowdsourcing has become an essential source of information for tourists and the tourism industry. Every day, large volumes of data are exchanged among stakeholders in the form of searches, posts, shares, reviews or ratings. This paper presents a tourist-centred analysis of crowd-sourced hotel infor...

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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: 2017
Subjects:
Crowdsourcing
Expedia
Data Mining
Prediction
Online Access:http://hdl.handle.net/10400.22/9774
Country:Portugal
Oai:oai:recipp.ipp.pt:10400.22/9774

Internet

http://hdl.handle.net/10400.22/9774

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