Future Communication, Information and Computer Science – Zheng (Ed.)
© 2015 Taylor & Francis Group, London, 978-1-138-02653-7
Distributed collaborative filtering recommendation model based on
two-phase similarity
C.Q. Wang, H.Y. Su, Y. Zhu, F.X. Li & B. Yan
Key Lab of Intelligent Information Technology, Beijing Institute of technology, Beijing, China
ABSTRACT: The recommendation system based on collaborative filtering is one of the most popular rec-
ommendation mechanisms. However, with the continuous expansion of the system, several problems that
traditional Collaborative Filtering recommendation algorithm (CF) faced such as cold startup, accuracy, and
scalability are worsened. In order to address these issues, a Distributed Collaborative Filtering ...