In a world where Google sets the gold standard for providing relevant search results, how can technical documentation teams create findability that is always spot-on for every single reader? Relevance of search is determined by a combination of content metadata, contextual knowledge about the user, and the search query itself. The challenge therefore resides in collecting and analyzing these elements and applying them systematically to every search query to create truly personalized search results.
