We present a new similarity measure tailored to posts in an online forum. Our
measure takes into account all the available information about user interest
and interaction --- the content of posts, the threads in the forum, and the
author of the posts. We use this post similarity to build a similarity between
users, based on principal coordinate analysis. This allows easy visualization
of the user activity as well. Similarity between users has numerous
applications, such as clustering or classification.