Abstract
Content-based recommender systems depend on the viability of metadata in order to filter relevant content to a particular user. Such information can be extracted using automatic and manual indexing techniques. While automatic approaches require the data to be restricted to a specific domain, because they analyze low-level characteristics in order to infer semantic information, manual appr…