Multiangle Social Network Recommendation Algorithms and Similarity Network Evaluation
Joint Authors
Gao, Zhiwei
Hu, Jinyu
Pan, Weisen
Source
Journal of Applied Mathematics
Issue
Vol. 2013, Issue 2013 (31 Dec. 2013), pp.1-8, 8 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2013-07-21
Country of Publication
Egypt
No. of Pages
8
Main Subjects
Abstract EN
Multiangle social network recommendation algorithms (MSN) and a new assessment method, called similarity network evaluation (SNE), are both proposed.
From the viewpoint of six dimensions, the MSN are classified into six algorithms, including user-based algorithm from resource point (UBR), user-based algorithm from tag point (UBT), resource-based algorithm from tag point (RBT), resource-based algorithm from user point (RBU), tag-based algorithm from resource point (TBR), and tag-based algorithm from user point (TBU).
Compared with the traditional recall/precision (RP) method, the SNE is more simple, effective, and visualized.
The simulation results show that TBR and UBR are the best algorithms, RBU and TBU are the worst ones, and UBT and RBT are in the medium levels.
American Psychological Association (APA)
Hu, Jinyu& Gao, Zhiwei& Pan, Weisen. 2013. Multiangle Social Network Recommendation Algorithms and Similarity Network Evaluation. Journal of Applied Mathematics،Vol. 2013, no. 2013, pp.1-8.
https://search.emarefa.net/detail/BIM-457158
Modern Language Association (MLA)
Hu, Jinyu…[et al.]. Multiangle Social Network Recommendation Algorithms and Similarity Network Evaluation. Journal of Applied Mathematics No. 2013 (2013), pp.1-8.
https://search.emarefa.net/detail/BIM-457158
American Medical Association (AMA)
Hu, Jinyu& Gao, Zhiwei& Pan, Weisen. Multiangle Social Network Recommendation Algorithms and Similarity Network Evaluation. Journal of Applied Mathematics. 2013. Vol. 2013, no. 2013, pp.1-8.
https://search.emarefa.net/detail/BIM-457158
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-457158