Multiangle social network recommendation algorithms and similarity network evaluation

Hu, Jinyu, Gao, Zhiwei and Pan, Weisen (2013) Multiangle social network recommendation algorithms and similarity network evaluation. Journal of Applied Mathematics, 2013. p. 248084. ISSN 1110-757X

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Official URL: http://dx.doi.org/10.1155/2013/248084

Abstract

Multiangle social network recommendation algorithms (MSN) and a new assessmentmethod, called similarity network evaluation (SNE), are both proposed. From the viewpoint of six dimensions, the MSN are classified into six algorithms, including user-based algorithmfromresource point (UBR), user-based algorithmfromtag point (UBT), resource-based algorithm fromtag 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.

Item Type: Article
Subjects: H600 Electronic and Electrical Engineering
Department: Faculties > Engineering and Environment > Mathematics, Physics and Electrical Engineering
Depositing User: Zhiwei Gao
Date Deposited: 23 Jul 2013 09:57
Last Modified: 01 Nov 2017 17:40
URI: http://nrl.northumbria.ac.uk/id/eprint/13251

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