The accurate prediction of demographic attributes of users, including age and gender, is a
pivotal challenge in personalized search, ad targeting, and other related fields. This …

In the age of data driven solution, the customer demographic attributes, such as gender and
age, play a core role that may enable companies to enhance the offers of their services and …

In the current society, almost everyone can't do without a mobile phone. As the rapidly
expansion of smartphone and app market in recently years, the current 35%–40 …

Demographic information is usually treated as private data (eg, gender and age), but has
been shown great values in personalized services, advertisement, behavior study and other …

Age bunch grouping is a perplexing assignment that is utilized to order facial picture into
foreordained age classifications. It is a significant undertaking because of its various …

The purpose of this study is to deploy and evaluate the performance of the new age machine
learning algorithms and their applicability in business environment. Three unique set of …

Through voice data analysis, this research presents a novel deep-learning approach to
predict customer age ranges in telesales. Utilizing the rich dataset from Mozilla's' Common …

The 21st century has seen the humans achieved many unimaginable achievements in the
world of technology. This technology can be used in a different way as individual desire. It …

Employing various strategies to catch interest in using online app stores has become a
common trend in recent decades. One of the dominant factors in determining the success of …

This research paper aims to develop a logistic regression model to predict whether a
customer will make a purchase or not based on their age and estimated salary. The project …