User profiling approaches for demographic recommender systems

MYH Al-Shamri - Knowledge-Based Systems, 2016 - Elsevier
Many of our daily life decisions rely on demographic data, which is a good indicator for
closeness of people. However, the lack of these data for many online systems let them …

Power coefficient as a similarity measure for memory-based collaborative recommender systems

MYH Al-Shamri - Expert Systems with Applications, 2014 - Elsevier
E-commerce systems employ recommender systems to enhance the customer loyalty and
hence increasing the cross-selling of products. However, choosing appropriate similarity …

[HTML][HTML] Fuzzy-weighted similarity measures for memory-based collaborative recommender systems

MYH Al-Shamri, NH Al-Ashwal - Journal of Intelligent Learning Systems …, 2014 - scirp.org
Memory-based collaborative recommender system (CRS) computes the similarity between
users based on their declared ratings. However, not all ratings are of the same importance to …

Effect of collaborative recommender system parameters: common set cardinality and the similarity measure

MYH Al-Shamri - Advances in Artificial Intelligence, 2016 - Wiley Online Library
Recommender systems are widespread due to their ability to help Web users surf the
Internet in a personalized way. For example, collaborative recommender system is a …

Similarity Measures for Recommender Systems: Drawbacks and Neighbors Formation

M Al-Shamri - 2022 - researchsquare.com
Similarity measures are crucial for electing neighbors for the users of recommender systems.
However, the massive amount of the processed data in such applications may hide the inner …