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Re: Session tracking

From: Paul Burchard <burchard@horizon.math.utah.edu>
Date: Tue, 18 Apr 95 00:30:52 -0600
Message-Id: <9504180630.AA02401@horizon.math.utah.edu>
To: brian@organic.com
Cc: Multiple recipients of list <www-talk@www10.w3.org>
Brian Behlendorf <brian@organic.com> writes:
> "Clickstreams" are the paths people take when they
> traverse your site - many content providers would find it
> useful to be able to detect common patterns or the
> effectiveness of various user interfaces.
> So, I'd like to propose for discussion a new HTTP header
> (hi Roy!) called  "Session-ID".  This would be optional,
> of course, and it would change any  time the browser is
> restarted (or when the user wished).

This is an excellent idea.  With Referer logging, you can already  
produce a "Markov model" for your Web site, giving transition  
probabilities between pages.  But it would be interesting to find  
out just how independent link choices really are; i.e., once a user  
gets to a page, how much does it matter where they came from?  To  
the extent that it matters, the Markov model is inaccurate.

> Given that more than one person can use a hostname (proxy
> servers, etc), there's no reliable way to exactly identify
> a unique person without implementing access control

Yes, and the statistics of access intervals don't help.  Intervals  
between requests from the same host seem to follow a combination of  
two very distinct exponential distributions whose decay rates  
differing by over an order of magnitude; presumably the long-term  
exponential represents intervals between user sessions through the  
same gateway host.  But the problem with exponential distributions  
is that the maximum probability occurs at zero, no matter how long-  
or short-term they might be...

Paul Burchard	<burchard@math.utah.edu>
``I'm still learning how to count backwards from infinity...''
Received on Tuesday, 18 April 1995 02:30:27 UTC

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