Abstract: Methods and apparatus provide for a personalization search engine that receives a search query from a first user and identifies multiple portions of indexed content—where each respective portion of indexed content has metadata that matches at least one characteristic of the search query. The personalization search engine determines a relevance of each respective portion of indexed content to the first user who provided the search query. It is understood that, in various embodiments, the relevance of a portion of indexed content has to the first user who provided the search query can be based on user feedback associated with an online version of that portion of indexed content. The personalization search engine ranks the multiple portions of indexed content according to their respective relevance to the first user who provided the search query and creates a search result based on ranking the multiple portions of indexed content.