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 <[email protected]> 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 > > _______________________________________________ > Design mailing list > [email protected] > https://lists.wikimedia.org/mailman/listinfo/design >
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