Event-Based Social Networking System With Recommendation Engine

Event-Based Social Networking System With Recommendation Engine

G. Manikandan, Reuel Samuel Sam, Steven Frederick Gilbert, Karthik Srikanth
Copyright: © 2024 |Pages: 16
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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This section describes the other works that have focused on a form of Recommendation Engine. These papers have described in detail the types of filtering that have been considered before reaching to a conclusion on how the system is built.

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