Introduction
Recommendation systems, often referred to as recommenders, are algorithmic systems designed to suggest relevant content or products to users. They play a crucial role in shaping online experiences, particularly on social media platforms like Instagram and TikTok, where they determine the content users see from their connections and other accounts. This review focuses on the implications of these systems, highlighting their potential benefits and risks.
Key Features:
- Content Discovery: Helps users find new and interesting content aligned with their interests.
- Community Building: Facilitates connections among users with shared interests.
- User Engagement: Designed to maximize user interaction by delivering appealing content.
Use Cases:
- Social Media Platforms: Enhancing user experience by personalizing feeds based on user behavior.
- Content Curation: Assisting users in discovering new topics and communities.
- Influence on Public Discourse: Shaping societal opinions through the content recommended to users.