Hi guys! -- I am working on a (auto) tag suggestion system (NOT tag autocomplete). Lets say I want to suggest tags for a given question like here on SO (although SO's tagging system is auto-complete). My main idea is to get the intersection between the tags_set and the given question.split()_set. (In python the set_intersection is efficient enough). Also, in order to make it a little bit more accurate I might use words-distance to count as 'the same' very close words i.e movie == movies. For now I am not thinking about using any Collaborative Filtering technique looking for the tags to similar questions and so on, because I believe since the question text is pretty short (comparing with a blog article or a paper) it is not worth the effort.

So I was wondering if you have any other (more) efficient approaches to suggest. Any ideas, specially from people who they have done something like that before, are more than welcome.