Abstract: A model-directed sampling system for automatically delivering a customized feed to a plurality of users from a social media service includes a topic model for mathematically inferring a set of abstract topics from a sample stream of content. Upon receiving a selection of user-relevant topics, a query constructor constructs, and continuously refines, a keyword-based query for each user-selected topic. A filter manager then directly interfaces with the social media service and applies the topic queries to a full, continuous media stream. If necessary, the filter manager distributes each topic query across a bank of filters to yield a plurality of individual output streams that are feed rate compliant. By subsequently merging the output streams together, while removing duplicate and/or non-relevant content, a comprehensive yet focused stream of user-relevant content is provided that complies with query requirements established by the social media service.