Trust-based Modelling of Multi-criteria Crowdsourced Data

Trust-based Modelling of Multi-criteria Crowdsourced Data

Abstract As a recommendation technique based on historical user information, collaborative filtering typically predicts the classification of items using a single criterion for a given user. However, many application domains can benefit from the analysis of multiple criteria, e.g. tourists usually r...

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Bibliographic Details
Main Authors: Fátima Leal, Benedita Malheiro, Horacio González-Vélez, Juan Carlos Burguillo
Format: Article
Language:English
Published: SpringerOpen 2017-09-01
Series:Data Science and Engineering
Subjects:
Collaborative filtering
Prediction models
Multi-criteria ratings
Tourism crowdsourcing
Trust.
Online Access:http://link.springer.com/article/10.1007/s41019-017-0045-1

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http://link.springer.com/article/10.1007/s41019-017-0045-1

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