Cloud service platform oriented dynamic acquisition method for user preference product attributes

被引：0
|
作者：
Pei H. [1 ]
Liu X. [1 ,2 ]
Huang X. [1 ,3 ]
Tan Z. [1 ]
Sun H. [3 ]
Bai Z. [1 ,4 ]
机构：
[1] School of Architecture &- Art Design, Hebei University of Technology, Tianjin
[2] Key Laboratory of Industrial Design and Ergonomics, Ministry of Industry and Information Technology, Northwestern Polytechnical University, Xi'an
[3] School of Mechanical Engineering, Tianjin University, Tianjin
[4] National Engineering Research Center for Technological Innovation Method and Tool, Hebei University of Technology, Tianjin
来源：
Jisuanji Jicheng Zhizao Xitong/Computer Integrated Manufacturing Systems, CIMS | 2023年 / 29卷 / 11期
关键词：
cloud services; hLDA; online text; product attributes; TextRank; user preferences;
D O I：
10.13196/j.cims.2021.0405
中图分类号：
学科分类号：
摘要：
Considering the horizontal correlation and vertical hierarchy of product attributes in the short text data of cloud service platform, a dynamic method for acquiring product attributes of hLAT users' preference was proposed. The hierarchical Latent Dirichlet allocation (hLDA) model was used to mine the on-line text topic hierarchy and construct the initial product attribute hierarchy tree. The influence of word topic was considered to modify the random jump probability between nodes to optimize the TextRank algorithm, An example of automobile industry related problem data in the platform of "Orange Cloud Industrial Product Collaborative Research and development" was given, and the feasibility and effectiveness of the proposed method were verified, which provided a new idea for the front-end construction of cloud service platform. © 2023 CIMS. All rights reserved.
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收藏
页码：3774 / 3785
页数：11
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