Data Anonymization for Service Strategy Development and Information Recommendation to Users Based on TF-IDF Method

被引：0

作者：

Kono, Kazuhiro ^{[1
]}

Babaguchi, Noboru ^{[2
]}

机构：

[1] Kansai Univ, Fac Soc Safety Sci, 7-1 Hakubai, Takatsuki, Osaka 5691098, Japan

[2] Osaka Univ, Grad Sch Engn, 2-1 Yamadaoka, Suita, Osaka 5650871, Japan

来源：

PROCEEDINGS OF 2020 INTERNATIONAL SYMPOSIUM ON INFORMATION THEORY AND ITS APPLICATIONS (ISITA2020) | 2020年

基金：

日本学术振兴会;

关键词：

K-ANONYMITY;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

This paper proposes a data anonymization method considering service strategies and information recommendations for users. Adopting the TF-IDF method, we attach importance to the personal data attributes required for strategy development and user's information recommendation in the case of anonymization. As a result, we generate anonymized personal data suitable for the strategy and the recommendation. We examine through simulation that the anonymized data generated by our method leaves information required for the recommendation in more detail.

引用

页码：485 / 489

页数：5

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