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 <https://en.wikipedia.org/wiki/Dwarf_cat>" 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)
On Mon, Nov 11, 2013 at 10:28 AM, Quim Gil <qgil(a)wikimedia.org> wrote:
Very interesting exercise! This is one of those
mobile-initiated
features that desktop users would welcome as well.
Just curious: have you considered to use data from Special:WhatLinksHere?
Incoming links are less evident than outgoing links. They might help
users discovering pages with less obvious connections, yet still
interesting.
--
Quim Gil
Technical Contributor Coordinator @ Wikimedia Foundation
http://www.mediawiki.org/wiki/User:Qgil
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