Paper Key : IRJ************196
Author: Pallavi Jadhav,Pooja Raut ,Rucha Rakshe,Yuvrajsingh Shekhawat ,S.y.bobade
Date Published: 14 Nov 2024
Abstract
In todays rapidly evolving digital landscape, content personalization is essential for maintaining user engagement across various platforms, including streaming services, social media, and news outlets. Traditional recommendation systems predominantly rely on historical user data, such as viewing history and search queries, to generate suggestions. However, these systems often fall short in addressing usersimmediate emotional states and evolving interests, which can lead to a disjointed and impersonal user experience. This project tackles the significant challenge of integrating real-time emotional intelligence into recommendation systems, thereby enhancing user satisfaction and engagement.
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