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Event-Based Social Networking System With Recommendation Engine
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Author(s): G. Manikandan (School of Computer Science and Engineering, Vellore Institute of Technology, Vellore, India), Reuel Samuel Sam (College of Engineering Guindy, Anna University, India), Steven Frederick Gilbert (College of Engineering Guindy, Anna University, India)and Karthik Srikanth (College of Engineering Guindy, Anna University, India)
Copyright: 2024
Volume: 20
Issue: 1
Pages: 16
Source title:
International Journal of Intelligent Information Technologies (IJIIT)
Editor(s)-in-Chief: Vijayan Sugumaran (Oakland University, Rochester, USA)
DOI: 10.4018/IJIIT.334232
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Abstract
For over a decade, social networking has been ruling over the internet and plays a vital role in day-to-day life. However, for a new network to survive in this market, exclusivity is a necessity. As a result, the goal of this work is to create a network for hosting and managing volunteering and events. Furthermore, the network will feature a recommendation system to provide users with events based on their interests and preferences according to how they interact with the platform. The proposed system is exclusively meant for event post creation and management and also it focuses on event posts with interactions such as replies, likes, interest, and disinterest options. This system has been implemented and deployed with the title ‘Evento' with the recommendation engine boasting an average purity index of 0.8031 for approximately 30 users. The results for recommendations have been chosen considering purity index and fisher optimization criterion metrics. Based on the experimental results, the proposed social network system with the recommendation engine has been found to be sufficient.
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