[HTML][HTML] CPFinder: Finding an unknown caller's profession from anonymized mobile phone data

J Zhang, H Chen, X Yao, X Fu - Digital Communications and Networks, 2022 - Elsevier
Identifying an unfamiliar caller's profession is important to protect citizens' personal safety
and property. Owing to the limited data protection of various popular online services in some …

Identifying unfamiliar callers' professions from privacy-preserving mobile phone data

J Zhang, X Yao, X Fu - 2020 16th International Conference on …, 2020 - ieeexplore.ieee.org
Identifying an unfamiliar caller's profession is important to protect citizens' personal safety
and property. Due to limited data protection of many popular online services in some …

The implicit network inferred from users' residences and workplaces enhancing collaborative recommendation on smartphones

Y Jiang, Y Zhu, X Du, T Jin - Physica A: Statistical Mechanics and its …, 2019 - Elsevier
Personalized recommendation based on side information extracted from social networks
has achieved promising performance in numerous applications. However, such side …

[PDF][PDF] User identification and community exploration via mining big personal data in online platforms

J Zhang - 2021 - ediss.uni-goettingen.de
User-generated big data mining is vital important for large online platforms in terms of
security, profits improvement, products recommendation and system management. Personal …

[PDF][PDF] Digital Communications and Networks

H Zhang, X Zhang, H Hu, C Li, Y Lin, R Ma - 2016 - core.ac.uk
abstract The security incidents ion networks are sudden and uncertain, it is very hard to
precisely predict the network security situation by traditional methods. In order to improve the …