Junhuan Zhu, Jiebo Luo, et al.
ICDMW 2013
Identifying user attributes from their social media activities has been an active research topic. The ability to predict user attributes such as age, gender, and interests from their social media activities is essential for personalization and recommender systems. Most of the techniques proposed for this purpose utilize the textual content created by a user, while multimedia content has gained popularity in social networks. In this paper, we propose a novel algorithm to infer a user's gender by using the images posted by the user on different social networks.
Junhuan Zhu, Jiebo Luo, et al.
ICDMW 2013
Balaji Ganesan, Avirup Saha, et al.
ISWC-Posters 2020
Yuye He, Sebastien Blandin, et al.
ICDMW 2014
Hima Karanam, Sumit Neelam, et al.
ISWC-Posters-Demos-Industry 2018