In the future we want to see how we can improve relatedness by learning what the most used article linkpath patterns are. For example, If we know that "feline dwarfism" link is being clicked most frequently from Grumpy Cat article, we'd want to learn that pattern and use it for other users when they want to learn more about Grumpy Cat. I'm trying really hard not to use the word tracking here. It doesn't have to associate a user to any clicks. Just like how page views does not associate any users to a view. Example: https://www.mediawiki.org/wiki/File:WP_App.pdf (Page 7)