contentdiscovery
Contentdiscovery refers to the techniques, systems, and practices used to surface relevant content to users across digital platforms. It includes the passive delivery of content as well as recommendations prompted by user actions, and it differs from explicit search by prioritizing discovery during normal use. Contentdiscovery is central to streaming services, social networks, news apps, e-commerce, and knowledge bases.
Core signals used by contentdiscovery systems include user interactions (views, clicks, likes, shares, dwell time), contextual
Algorithms combine several approaches, such as collaborative filtering, content-based filtering, and hybrid methods. Graph-based recommendations, neural
In interface design, contentdiscovery is delivered through feeds, carousels, recommendations, and personalized search results. Good practices
Evaluation relies on metrics such as engagement, dwell time, click-through rate, retention, conversion, and diversity of
Contentdiscovery intersects with information retrieval, recommendation systems, and personalization. It faces challenges such as cold-start, data