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Authors: Mohammad Yahya H. Al-Shamri and Nagi H. Al-Ashwal

Affiliation: Ibb University, Yemen

Keyword(s): Collaborative Recommender Systems, Correlation Coefficient, Fuzzy Weighting.

Related Ontology Subjects/Areas/Topics: Applications of Expert Systems ; Artificial Intelligence ; Artificial Intelligence and Decision Support Systems ; Enterprise Information Systems ; Knowledge Discovery and Information Retrieval ; Knowledge-Based Systems ; Symbolic Systems ; User Profiling and Recommender Systems

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 several formats:
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 3: ICEIS; ISBN 978-989-8565-59-4; ISSN 2184-4992, SciTePress, pages 409-414. DOI: 10.5220/0004412404090414

@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 3: ICEIS},
year={2013},
pages={409-414},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004412404090414},
isbn={978-989-8565-59-4},
issn={2184-4992},
}

TY - CONF

JO - Proceedings of the 15th International Conference on Enterprise Information Systems - Volume 3: ICEIS
TI - Fuzzy-weighted Pearson Correlation Coefficient for Collaborative Recommender Systems
SN - 978-989-8565-59-4
IS - 2184-4992
AU - Yahya H. Al-Shamri, M.
AU - H. Al-Ashwal, N.
PY - 2013
SP - 409
EP - 414
DO - 10.5220/0004412404090414
PB - SciTePress

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