[PDF][PDF] Joint link-attribute user identity resolution in online social networks

S Bartunov, A Korshunov, ST Park… - Proceedings of the 6th …, 2012 - niculescu-mizil.org
In the modern Web, it is common for an active person to have several profiles in different
online social networks. As new general-purpose and niche social network services arise …

SmPFT: Social media based profile fusion technique for data enrichment

A Agarwal, D Toshniwal - Computer Networks, 2019 - Elsevier
People use different social networking platforms for distinct purposes. The information
across each micro-blogging site is often partial. A better profile of an individual can be built …

Tag-based user interest discovery though keywords extraction in social network

P Yang, Y Song, Y Ji - Big Data Computing and Communications: First …, 2015 - Springer
We consider the problem of exploiting to discover user interests from social network. User
tags in social networks convey abundant implications of user interests, which great benefit …

[HTML][HTML] A multi-model approach for user portrait

Y Chen, J He, W Wei, N Zhu, C Yu - Future Internet, 2021 - mdpi.com
Age, gender, educational background, and so on are the most basic attributes for identifying
and portraying users. It is also possible to conduct in-depth mining analysis and high-level …

Adversarial substructured representation learning for mobile user profiling

P Wang, Y Fu, H Xiong, X Li - Proceedings of the 25th ACM SIGKDD …, 2019 - dl.acm.org
Mobile user profiles are a summary of characteristics of user-specific mobile activities.
Mobile user profiling is to extract a user's interest and behavioral patterns from mobile …

A survey of user profiles methods

G Gao - Data Analysis and Knowledge Discovery, 2019 - manu44.magtech.com.cn
[Objective] This paper discusses the mechanism of User Profiles construction process from
the perspectives of design thinking and data types.[Coverage] We used Google Scholar and …

[PDF][PDF] 移动网络服务中基于认知心理学的用户偏好提取方法

王立才, 孟祥武, 张玉洁 - 电子学报, 2011 - ejournal.org.cn
迅速增长的移动网络服务给人们带来沉重的移动信息负担. 移动用户偏好提取方法是缓解"
移动信息过载" 问题的有效手段. 受加工水平模型和分布式认知理论的启发 …