Critique on natural noise in recommender systems

WA Jurdi, JB Abdo, J Demerjian… - ACM Transactions on …, 2021 - dl.acm.org
Recommender systems have been upgraded, tested, and applied in many, often
incomparable ways. In attempts to diligently understand user behavior in certain …

An effective and efficient fuzzy approach for managing natural noise in recommender systems

P Wang, Y Wang, LY Zhang, H Zhu - Information Sciences, 2021 - Elsevier
A high-quality recommender system (RS) can effectively alleviate information overload by
producing recommendations. The quality of the recommender system not only depends on …

A mixture-of-Gaussians model for estimating the magic barrier of the recommender system

HR Zhang, J Qian, HL Qu, F Min - Applied Soft Computing, 2022 - Elsevier
The rating data collected by the recommender system usually contains noise due to external
factors such as human uncertainty and inconsistency. Such noise, usually modeled by a …

Towards next generation recommender systems through generic data quality

W Al Jurdi - 2024 - theses.hal.science
Recommender systems are essential for filtering online information and delivering
personalized content, thereby reducing the effort users need to find relevant information …