Predictive Analysis: Problematic Internet Use of Compulsive Buying Addiction using Web History
Predictive Analysis: Problematic Internet Use of Compulsive Buying Addiction using Web History |
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| © 2024 by IJETT Journal | ||
| Volume-72 Issue-2 |
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| Year of Publication : 2024 | ||
| Author : R. Danu, S. Kavitha, B. Muthusenthil |
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| DOI : 10.14445/22315381/IJETT-V72I2P104 | ||
How to Cite?
R. Danu, S. Kavitha, B. Muthusenthil, "Predictive Analysis: Problematic Internet Use of Compulsive Buying Addiction using Web History," International Journal of Engineering Trends and Technology, vol. 72, no. 2, pp. 29-40, 2024. Crossref, https://doi.org/10.14445/22315381/IJETT-V72I2P104
Abstract
This study evolves from “Is it possible to conclude whether an internet user is in Problematic Internet Use (PIU) or not, based on the web history.” Nowadays, Smartphone and internet use become vital, but at the same time, excessive use of smartphones or the internet use (known as (PIU)) leads to multiple negative outcomes. PIU might be any form of activity such as entertainment (video, audio, pornography), communication (often updates at social media sites, persistent chats), and Impulsive and Compulsive Buying Addiction (ICBA). These make life complex in day-to-day activities such as learning, focus distraction, and conflicts in decision-making. Moreover, PIU leads to numerical physical and psychological traits. Smartphonebased internet use in recent trends become essential, immense, and vital. However, when it exceeds that level of consumption, there is a need to analyze, or else those activities become pathetic. Moreover, among multiple PIUs, this study concentrates on ICBA using online platforms. This proposed model reveals that ICBA could be tracked based on online persistence-seeking particulars on e-commerce platforms. To identify the ICBA, there is not enough to track specific e-commerce platforms. It also needs to analyze the users’ seeking patterns, such as inquiry analysis of Google and other browsers’ search and entertainment channels. The reason is that if we aim to understand only Impulsive and Compulsive Buying (ICB), we can analyze the ecommerce platform, but it also needs to analyze the ICB to ICBA. This study aims to develop a trajectory model using sentimental CNN-based distant supervision to identify the web-seeking pattern in terms of repeat and similar words for specific online purchasing. Repeated Mindset Analysis (RMA) is used to apply the cognitive psychology approach so that an individual spends time on multiple webs seeking the specific content then based on consistency of searching, which can make the clarifies whether an individual is in PIU or not.
Keywords
Addictive Assessment, Impulsive and compulsive buying prediction, Problematic Internet Use (PIU), Repeated Mindset Analysis (RMA), Sentimental and trajectory analysis.
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