I-Detox

Abstract

Abstract: Internet addiction refers to excessive internet use that interferes with daily life. Due to its negative impact on college students’ study and life, discovering students’ internet addiction tendencies and making correct guidance for them timely is necessary. In this system, we provide an approach to estimatinga person’s internet addiction levels using their behavior data on the system. In detail, we consider a person’s addiction to the internet as a hidden variable that affects students’ daily time online together with other behavior. By predicting a person’s daily time online, we will find a person’s internet addiction levels. Finally, extensive experiments are conducted on a real- world dataset. The experimental results show the effectivenessof our method, and it is also consistent with some psychological findings. “I-detox” aims to provide real-time analysis of the exact number of websites visited by the user, giving them the freedom to foresee the probable results given the lack of schedule one followswhile browsing the internet. Therefore, this gives a standardized analysis of the web history of the user also inclining the number of times a user visits a particular website. Our solution considers the suitability of terming the user as an addict or not based onthe analysis provided upfront.