Fuzzy-weighted Pearson Correlation Coefficient for Collaborative Recommender Systems

Mohammad Yahya H. Al-Shamri, Nagi H. Al-Ashwal

2013

Abstract

Memory-based collaborative recommender system (CRS) computes the similarity between users based on their declared ratings. The most popular similarity measure for memory-based CRS is the Pearson correlation coefficient which measures how much the two users are correlated. However, not all ratings are of the same importance to the user. The set of ratings each user weights highly differs from user to user according to his mood and taste. This will be reflected in the user’s rating scale. Accordingly, many efforts have been done to introduce weights to Pearson correlation coefficient. In this paper we propose a fuzzy weighting to the Pearson correlation coefficient which takes into account the different rating scales of different users so that the rating deviation from the user’s mean rating is fuzzified not the rating itself. The experimental results show that Pearson correlation coefficient with fuzzy weighting outperforms the traditional approaches.

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Paper Citation


in Harvard Style

Yahya H. Al-Shamri M. and H. Al-Ashwal N. (2013). Fuzzy-weighted Pearson Correlation Coefficient for Collaborative Recommender Systems . In Proceedings of the 15th International Conference on Enterprise Information Systems - Volume 1: ICEIS, ISBN 978-989-8565-59-4, pages 409-414. DOI: 10.5220/0004412404090414


in Bibtex Style

@conference{iceis13,
author={Mohammad Yahya H. Al-Shamri and Nagi H. Al-Ashwal},
title={Fuzzy-weighted Pearson Correlation Coefficient for Collaborative Recommender Systems},
booktitle={Proceedings of the 15th International Conference on Enterprise Information Systems - Volume 1: ICEIS,},
year={2013},
pages={409-414},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004412404090414},
isbn={978-989-8565-59-4},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 15th International Conference on Enterprise Information Systems - Volume 1: ICEIS,
TI - Fuzzy-weighted Pearson Correlation Coefficient for Collaborative Recommender Systems
SN - 978-989-8565-59-4
AU - Yahya H. Al-Shamri M.
AU - H. Al-Ashwal N.
PY - 2013
SP - 409
EP - 414
DO - 10.5220/0004412404090414