Interest Modeling

Interest modeling aims to understand and represent user preferences, crucial for personalized recommendations and other applications. Current research focuses on effectively capturing both short-term and long-term interests, often employing neural networks with sophisticated denoising techniques and multi-modal fusion to handle diverse data sources like text, images, and user interactions. These advancements improve the accuracy and robustness of recommendation systems, impacting areas like news feeds, e-commerce, and live-streaming platforms by enhancing user experience and engagement.