Enhancing User Experience with Topic-Based Message Retrieval in Telegram
Amir Hossein Mohsen Nezhad Baravati, Martina Viganò, Carlo Alberto Bono, Barbara Pernici · 2025
As reliance on social media and messaging platforms grows, users face increasing challenges in managing and retrieving relevant information. These difficulties often stem from platform designs that prioritize seamless communication over efficient content organization. Given the large volume of messages users receive daily across multiple groups, current research is being conducted to develop systems that can effectively detect emerging conversations about topics of interest. This work proposes a novel approach to enhancing the user experience in Telegram by developing a topic-based identification of new conversations.