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Data Analysis and Knowledge Discovery  0, Vol. Issue (): 1-    DOI: 10.11925/infotech.2096-3467. 2020.0690
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Image and text analysis based computational framework of trust in online short-rent platform using feature selection
Jiaming Liang,Jie Zhao,Peng Zheng,Liushen Huang,Minqi Ye,Zhenning Dong
(Guangdong University of Technology, Guangzhou, 510520)
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[Objective] A novel computational framework for trust in online short-rent platform is proposed. Multiple groups of low-dimension feature subsets are provided to users for presenting personal information, which contributes to ease the problem in trust computations caused by missing data. [Methods] Evolutionary algorithm based rough-set feature selection is used. Image and text analysis are used for feature extraction. [Results] The proposed framework reduces dimension into 5% of the original feature set with classification accuracy remaining unchanged. [Limitations] Further analysis could be done on overseas platform data. [Conclusions] The proposed framework could provide multiple groups of low-dimension feature subsets, which could help to ease the problem in trust computing caused by missing data and privacy.

Key words Online short-rent      Trust computing      Feature selection      
Published: 09 October 2020
ZTFLH:  G203  

Cite this article:

Jiaming Liang, Jie Zhao, Peng Zheng, Liushen Huang, Minqi Ye, Zhenning Dong. Image and text analysis based computational framework of trust in online short-rent platform using feature selection . Data Analysis and Knowledge Discovery, 0, (): 1-.

URL: 2020.0690     OR

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