همایش بین المللی هوش مصنوعی

صفحه اصلی / اولین همایش بین المللی هوش مصنوعی

Data Mining's Role in Crafting Intelligent Recommender Systems: A Systematic Review

نویسندگان :

Pourya Rahat¹ Amir Reza Asnafi²

1- Shahid Beheshti University 2- Shahid Beheshti University

کلمات کلیدی :

Data Mining،user preferences،collaborative filtering،recommendation systems,

چکیده :

This paper presents a systematic review of the role of data mining in the design and utilization of recommender systems. The review focuses on the impact of data mining techniques in understanding user preferences across diverse domains, including restaurants, libraries, organizations, and customer interactions. The review, based on 18 articles, found that collaborative filtering and clustering are the most frequently applied data mining techniques in recommender system design. The study highlights the essential role of data mining in strengthening the conceptual foundation of recommender systems. Data mining helps reveal hidden patterns and insights from big data, which are then used to generate recommendations. The review also emphasizes the increasing need for sophisticated data mining techniques to address the growing complexity of systems and the need for humanizing technology. The paper concludes by proposing a model for designing recommender systems where data mining serves as the primary background throughout the design and development process. The model emphasizes the importance of data analysis based on organizational and user identities to create accurate and effective recommendations. The paper also stresses that the effectiveness of recommender systems is contingent on both data mining and user feedback and that these two components should be considered inseparable in the recommendation and decision-making process.