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Authors: Alper Bilge ; Cihan Kaleli and Huseyin Polat

Affiliation: Anadolu University, Turkey

Keyword(s): Collaborative filtering, Top-N recommendation, Binary similarity measures, Privacy, accuracy.

Related Ontology Subjects/Areas/Topics: Business Analytics ; Communication and Software Technologies and Architectures ; Computer-Supported Education ; Data and Information Retrieval ; Data Engineering ; e-Business ; Enterprise Information Systems ; Information Technologies Supporting Learning ; Mobile and Pervasive Computing ; Security and Privacy ; Telecommunications

Abstract: Collaborative filtering (CF) algorithms fundamentally depend on similarities between users and/or items to predict individual preferences. There are various binary similarity measures like Kulzinsky, Sokal-Michener, Yule, and so on to estimate the relation between two binary vectors. Although binary ratings-based CF algorithms are utilized, there remains work to be conducted to compare the performances of binary similarity measures. Moreover, the success of CF systems enormously depend on reliable and truthful data collected from many customers, which can only be achieved if individual users’ privacy is protected. In this study, we compare eight binary similarity measures in terms of accuracy while providing top-N recommendations. We scrutinize how such measures perform with privacy-preserving top-N recommendation process. We perform real data-based experiments. Our results show that Dice and Jaccard measures provide the best outcomes.

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Paper citation in several formats:
Bilge, A.; Kaleli, C. and Polat, H. (2010). ON BINARY SIMILARITY MEASURES FOR PRIVACY-PRESERVING TOP-N RECOMMENDATIONS. In Proceedings of the 5th International Conference on Software and Data Technologies - Volume 1: ICSOFT; ISBN 978-989-8425-22-5; ISSN 2184-2833, SciTePress, pages 299-304. DOI: 10.5220/0002938702990304

@conference{icsoft10,
author={Alper Bilge. and Cihan Kaleli. and Huseyin Polat.},
title={ON BINARY SIMILARITY MEASURES FOR PRIVACY-PRESERVING TOP-N RECOMMENDATIONS},
booktitle={Proceedings of the 5th International Conference on Software and Data Technologies - Volume 1: ICSOFT},
year={2010},
pages={299-304},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0002938702990304},
isbn={978-989-8425-22-5},
issn={2184-2833},
}

TY - CONF

JO - Proceedings of the 5th International Conference on Software and Data Technologies - Volume 1: ICSOFT
TI - ON BINARY SIMILARITY MEASURES FOR PRIVACY-PRESERVING TOP-N RECOMMENDATIONS
SN - 978-989-8425-22-5
IS - 2184-2833
AU - Bilge, A.
AU - Kaleli, C.
AU - Polat, H.
PY - 2010
SP - 299
EP - 304
DO - 10.5220/0002938702990304
PB - SciTePress