Oct 13, 2019 · In this paper, we propose a neural gender prediction approach based on the news browsing data of users. Usually a news article has different ...
A neural gender prediction approach based on the news browsing data of users is proposed by incorporating different components of browsed news as different ...
In this paper, we propose a neural gender prediction approach to infer the genders of online news platform users from their news browsing data. In our ap-.
Thus, the news browsing data of users can provide useful clues for inferring their genders. In this paper, we propose a neural gender prediction approach based ...
Oct 22, 2024 · This paper addresses the problem of predicting users' gender based on browsing history. We employ a classification-based approach to the problem ...
Artificial neural network tool is used for this purpose. Uses are divided into two different categories of adult and youngsters. The result is. 93.7% accurate.
Chuhan Wu, Fangzhao Wu, Tao Qi, Yongfeng Huang, Xing Xie: Neural Gender Prediction from News Browsing Data. CCL 2019. Tao Qi, Chuhan Wu, Fangzhao Wu, Suyu Ge, ...
We examine gender bias in media by tallying the number of men and women quoted in news text, using the Gender Gap Tracker, a software system we developed ...
May 21, 2024 · In this article, we will create an Age and Gender Prediction model using Keras Functional API, which will perform both Regression to predict the Age of the ...
In this paper, we study predicting users' demographics based on their search queries, and propose a neural approach for this task.