Improving recommender systems accuracy in social networks using popularity

Majbouri Yazdi, Kasra, Yazdi, Adel Majbouri, Khodayi, Saeed, Hou, Jingyu, Zhou, Wanlei, Saedy, Saeid and Rostami, Mehrdad 2019, Improving recommender systems accuracy in social networks using popularity, in PDCAT 2019 : Proceedings of the 2019 20th International Conference on Parallel and Distributed Computing, Applications and Technologies, Institute of Electrical and Electronics Engineers, Piscataway, N.J., pp. 304-310, doi: 10.1109/PDCAT46702.2019.00062.

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Title Improving recommender systems accuracy in social networks using popularity
Author(s) Majbouri Yazdi, Kasra
Yazdi, Adel Majbouri
Khodayi, Saeed
Hou, JingyuORCID iD for Hou, Jingyu orcid.org/0000-0002-6403-9786
Zhou, Wanlei
Saedy, Saeid
Rostami, Mehrdad
Conference name IEEE Computer Society. International Conference (2019 : 20th : Gold Coast, Queensland)
Conference location Gold Coast, Qld.
Conference dates 2019/12/05 - 2019/12/07
Title of proceedings PDCAT 2019 : Proceedings of the 2019 20th International Conference on Parallel and Distributed Computing, Applications and Technologies
Editor(s) Tian, Hui
Shen, Hong
Tan, Wee Lum
Publication date 2019
Series IEEE Computer Society International Conference
Start page 304
End page 310
Total pages 7
Publisher Institute of Electrical and Electronics Engineers
Place of publication Piscataway, N.J.
Keyword(s) recommender systems
trust
popularity
information diffusion
centrality
ISBN 9781728126166
Language eng
DOI 10.1109/PDCAT46702.2019.00062
Indigenous content off
HERDC Research category E1 Full written paper - refereed
Persistent URL http://hdl.handle.net/10536/DRO/DU:30135108

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