Applying memetic algorithm-based clustering to recommender system with high sparsity problem

• Main Authors: Marung,U., Theera-Umpon,N., Auephanwiriyakul,S.
• 格式: Article
• 出版: Springer Science + Business Media 2015
• 主題: Metals and Alloys; Engineering (all)
• 在線閱讀: http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=84920122519&origin=inward; http://cmuir.cmu.ac.th/handle/6653943832/39089
• 機構: Chiang Mai University

© 2014, Central South University Press and Springer-Verlag Berlin Heidelberg. A new recommendation method was presented based on memetic algorithm-based clustering. The proposed method was tested on four highly sparse real-world datasets. Its recommendation performance is evaluated and compared with...