I have users in my database that I would like to match up or group togetter based on the content of there articles. I cant seem to find how this kind of problem is being solved today. Any advice will help.
1) Each user's posts (anything written by them, like a blog).
2) Tags for each post (tags that the user gave to their post when they created it)
1) Match/Group users based on available data.
2) Produce match percentage.
I matched people based on the number of exact matches of their tags.
Example: user1 has [car,honda,sports], user2 has [car,food].
This will give a 33% match.
As you can image this does not work very well. Most users have 20 tags but typically get a match percentage of 0% even if they are talking about similar things.
Tags that have a clear relationship like CAR and HONDA are NOT matched.
How can I match/Group users based on tags or the content of there articles?