A Space-time Dimension User Preference Calculation Method for Recommendation in Social network

被引：0

作者：

Zou Guojian ^{[1
]}

Wang Jisheng ^{[2
]}

Yuan Hailei ^{[1
]}

Wang Dong ^{[3
]}

Pan Tao ^{[2
]}

Song Feng ^{[1
]}

Zhang Bo ^{[1
]}

机构：

[1] Shanghai Normal Univ, Shanghai, Peoples R China

[2] Shenhua Informat Technol Co, Beijing, Peoples R China

[3] Shanghai Inst Technol, Shanghai, Peoples R China

来源：

PROCEEDINGS OF THE 2018 13TH IEEE CONFERENCE ON INDUSTRIAL ELECTRONICS AND APPLICATIONS (ICIEA 2018) | 2018年

基金：

中国国家自然科学基金;

关键词：

location service; space-time dimension; personalized; user preference;

D O I：

暂无

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

Under the background of the Mobile Internet Age, location service has been developed rapidly. On the basis of modeling the space-time dimension and the study of users' personalized preference combined with the preference of similar user groups, this paper proposes the information selection model of location service and relevant algorithms. In this model, a space-time dimensional model is firstly constructed to process the information of users' personalized location service in the time and spatial dimension. Then, a new user preference model is constructed based on the existing study on user preference.

引用

页码：1643 / 1648

页数：6

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