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Authors: Benjamin Gras ; Armelle Brun and Anne Boyer

Affiliation: Université de Lorraine, France

ISBN: 978-989-758-106-9

Keyword(s): Atypical Preferences, Atypical Users, Recommender Systems, Collaborative Filtering, Accuracy of Recommendations.

Related Ontology Subjects/Areas/Topics: Enterprise Information Systems ; Recommendation Systems ; Software Agents and Internet Computing ; User Modeling ; Web Information Systems and Technologies ; Web Interfaces and Applications

Abstract: The social approach in recommender systems relies on the hypothesis that users’ preferences are coherent between users. To recommend a user some items, it uses the preferences of other users, who have preferences similar to those of this user. Although this approach has shown to produce on average high quality recommendations, which makes it the most commonly used approach, some users are not satisfied. Being able to anticipate if a recommender will provide a given user with inaccurate recommendations, would be a major advantage. Nevertheless, little attention has been paid in the literature to studying this particular point. In this work, we assume that a part of the users who are not satisfied do not respect the assumption made by the social approach of recommendation: their preferences are not coherent with those of others; they have atypical preferences. We propose measures to identify these users, upstream of the recommendation process, based on their profile only (their preferen ces). The experiments conducted on a state of the art corpus show that these measures allow to identify reliably a subset of users with atypical preferences, who will get inaccurate recommendations. (More)

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Paper citation in several formats:
Gras, B.; Brun, A. and Boyer, A. (2015). Identifying Users with Atypical Preferences to Anticipate Inaccurate Recommendations.In Proceedings of the 11th International Conference on Web Information Systems and Technologies - Volume 1: WEBIST, ISBN 978-989-758-106-9, pages 381-389. DOI: 10.5220/0005412703810389

@conference{webist15,
author={Benjamin Gras. and Armelle Brun. and Anne Boyer.},
title={Identifying Users with Atypical Preferences to Anticipate Inaccurate Recommendations},
booktitle={Proceedings of the 11th International Conference on Web Information Systems and Technologies - Volume 1: WEBIST,},
year={2015},
pages={381-389},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005412703810389},
isbn={978-989-758-106-9},
}

TY - CONF

JO - Proceedings of the 11th International Conference on Web Information Systems and Technologies - Volume 1: WEBIST,
TI - Identifying Users with Atypical Preferences to Anticipate Inaccurate Recommendations
SN - 978-989-758-106-9
AU - Gras, B.
AU - Brun, A.
AU - Boyer, A.
PY - 2015
SP - 381
EP - 389
DO - 10.5220/0005412703810389

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