Enhanced Spam and Abuse Detection
Posted: Mon May 19, 2025 3:53 am
ML models could be used to analyze patterns in message content, user behavior, and metadata to more effectively identify and filter spam, phishing attempts, and abusive content, creating a safer environment for Telegram users in Bangladesh.
Personalized Data Retention Policies: AI could learn individual user preferences for data retention and suggest optimized settings for automatic deletion of older messages and media, helping users manage their storage and privacy more effectively.
Context-Aware Search: Integrating natural language iran telegram phone number list processing (NLP) powered by AI could enable users in Bangladesh to perform more natural and intuitive searches within their Telegram chats, going beyond simple keyword matching to understand the intent behind the query.
Automated Data Archiving: AI could identify older, less frequently accessed chats and media and automatically archive them to separate storage (either locally or in the cloud), freeing up space in the main database while still keeping the data accessible if needed.
Personalized Data Retention Policies: AI could learn individual user preferences for data retention and suggest optimized settings for automatic deletion of older messages and media, helping users manage their storage and privacy more effectively.
Context-Aware Search: Integrating natural language iran telegram phone number list processing (NLP) powered by AI could enable users in Bangladesh to perform more natural and intuitive searches within their Telegram chats, going beyond simple keyword matching to understand the intent behind the query.
Automated Data Archiving: AI could identify older, less frequently accessed chats and media and automatically archive them to separate storage (either locally or in the cloud), freeing up space in the main database while still keeping the data accessible if needed.