A Collaborative Recommend Algorithm Based on Bipartite Community
Joint Authors
Liu, Quan
Fu, Yuchen
Cui, Zhiming
Source
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-14, 14 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-04-13
Country of Publication
Egypt
No. of Pages
14
Main Subjects
Medicine
Information Technology and Computer Science
Abstract EN
The recommendation algorithm based on bipartite network is superior to traditional methods on accuracy and diversity, which proves that considering the network topology of recommendation systems could help us to improve recommendation results.
However, existing algorithms mainly focus on the overall topology structure and those local characteristics could also play an important role in collaborative recommend processing.
Therefore, on account of data characteristics and application requirements of collaborative recommend systems, we proposed a link community partitioning algorithm based on the label propagation and a collaborative recommendation algorithm based on the bipartite community.
Then we designed numerical experiments to verify the algorithm validity under benchmark and real database.
American Psychological Association (APA)
Fu, Yuchen& Liu, Quan& Cui, Zhiming. 2014. A Collaborative Recommend Algorithm Based on Bipartite Community. The Scientific World Journal،Vol. 2014, no. 2014, pp.1-14.
https://search.emarefa.net/detail/BIM-1049117
Modern Language Association (MLA)
Fu, Yuchen…[et al.]. A Collaborative Recommend Algorithm Based on Bipartite Community. The Scientific World Journal No. 2014 (2014), pp.1-14.
https://search.emarefa.net/detail/BIM-1049117
American Medical Association (AMA)
Fu, Yuchen& Liu, Quan& Cui, Zhiming. A Collaborative Recommend Algorithm Based on Bipartite Community. The Scientific World Journal. 2014. Vol. 2014, no. 2014, pp.1-14.
https://search.emarefa.net/detail/BIM-1049117
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1049117