Twitter Introduces New AI System to Improve User Recommendations. San Francisco, CA — Twitter announced today the launch of a custom-built learning AI designed to enhance content recommendations across its platform. The technology aims to make posts, ads, and account suggestions more relevant to individual users. The move addresses long-standing feedback about inconsistent or irrelevant content surfacing in user feeds.
(Twitter Launches Learning Ai To Optimize Recommendations)
The AI system analyzes user behavior patterns, including likes, retweets, and time spent viewing specific topics. It processes this data in real time to adjust recommendations instantly. Twitter confirmed the AI prioritizes user privacy by anonymizing data and avoiding sensitive information. Engineers trained the model on diverse datasets to reduce biases and improve accuracy.
A company spokesperson stated the upgrade focuses on balancing popular content with lesser-known creators. Users might see more niche topics aligned with their interests. Early tests showed a 40% increase in engagement with recommended posts. Some test users reported discovering new accounts and topics they previously overlooked.
The system also aims to limit misinformation by filtering out low-credibility sources. Twitter confirmed human moderators will work alongside the AI to review flagged content. Updates to the algorithm will occur weekly to adapt to trending topics and user feedback.
Changes will roll out gradually over the next month. All user accounts will automatically receive the updated recommendation features. Twitter plans to add a toggle option later this year, allowing users to switch between AI-curated and chronological feeds.
Developers emphasized the AI does not store personal data beyond 30 days. Users can adjust privacy settings to limit data sharing. The announcement follows similar AI-driven updates from rival platforms like Instagram and TikTok.
Twitter expects the changes to boost user satisfaction and time spent on the platform. Advertising partners anticipate higher click-through rates due to more precise targeting. The company will monitor feedback and adjust the system to address bugs or unintended outcomes.
(Twitter Launches Learning Ai To Optimize Recommendations)
The AI represents Twitter’s latest effort to refine its platform since major policy shifts last year. Future updates may include language-specific recommendation filters and expanded content categories. Users worldwide will begin seeing changes to their feeds starting next week.