IoT Recommender System: A Recommender System Based on Sensors from the Internet of Things for Points of Interest

Authored by: Cristian González García , Daniel Meana-Llorián , Vicente García Díaz , Edward Rolando Núñez-Valdez

Handbook of IoT and Big Data

Print publication date:  March  2019
Online publication date:  February  2019

Print ISBN: 9781138584204
eBook ISBN: 9780429053290
Adobe ISBN:

10.1201/9780429053290-11

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Abstract

The IoT is a great source of knowledge. Its strength is based on the use of sensors that can provide information in real time on a multitude of variables in any part of the world that has an Internet connection. At the same time, social networks increasingly encourage users to create comments on points of interest they visit or could visit, giving valuable feedback for other users or even for recommender systems that could use that information to anticipate user tastes in the future. In this work, we present an overview of a novel recommendation system to generate recommendations for users based on both the information gathered from sensors and the opinions explicitly indicated by users about places or recommendations previously made by the system.

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