Comment by skyisblue

I'm new to ML and currently looking at building a recommender system using KNN on a site based on what users have read. I'm struggling to select the optimum feature set. Should I use the article ids or tags as the features? Also, how do I go about the high dimensionality curse with potentially thousands of articles or tags?