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Erschienen in:
A Method for Analysing Large-Scale UGC Data for Tourism: Application to the Case of Catalonia Kapitel lesen Erstes Kapitel lesen

2015 | OriginalPaper | Buchkapitel

User Personality and the New User Problem in a Context-Aware Point of Interest Recommender System

verfasst von : Matthias Braunhofer, Mehdi Elahi, Francesco Ricci

Erschienen in: Information and Communication Technologies in Tourism 2015

Verlag: Springer International Publishing

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Abstract

The new user problem is an important and challenging issue that Context-Aware Recommender Systems (CARSs) must deal with, especially in the early stage of their deployment. It occurs when a new user is added to the system and there is not enough information about the user’s preferences in order to compute appropriate recommendations. It is common to address this problem in the recommendation algorithm, by using demographic attributes such as age, gender, and occupation, which are easy to collect and are reasonably good predictors of the user preferences. However, as we show here, user’s personality provides even better information for generating context-aware recommendations for places of interest (POI), and it is still easy to assess with a simple questionnaire. In our study, using a rating data set collected by a mobile app called STS (South Tyrol Suggests), we have found that by considering the user personality the system can better rank the recommendations for the new users.

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Vorheriges Kapitel Transportation Mode Annotation of Tourist GPS Trajectories Under Environmental Constraints
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Fußnoten
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Metadaten
Titel
User Personality and the New User Problem in a Context-Aware Point of Interest Recommender System
verfasst von
Matthias Braunhofer
Mehdi Elahi
Francesco Ricci
Copyright-Jahr
2015
Buch
Information and Communication Technologies in Tourism 2015

Print ISBN: 978-3-319-14342-2

Electronic ISBN: 978-3-319-14343-9

Copyright-Jahr: 2015

DOI
https://doi.org/10.1007/978-3-319-14343-9_39