Improved collaborative filtering on recommender based systems using smoothing density-based user clustering

• Main Authors: Selamat, Ali, S. G., Moghaddam
• Format: Article
• Published: Convergence Information Society 2012
• Subjects: QA75 Electronic computers. Computer science
• Online Access: http://eprints.utm.my/id/eprint/33923/; http://www.globalcis.org/dl/citation.html?id=IJACT-1070&Search=Improved%20collaborative%20filtering%20on%20recommender&op=Title
• Institution: Universiti Teknologi Malaysia

Recommender systems improve the user satisfaction of internet websites by offering personalized, interesting and useful recommendations to users. The most famous recommender system algorithm is collaborative filtering. However, the collaborative filtering algorithms need large amount of training dat...