Hey Oliver,
Consider this data:
10 requests for page A with the page B referral (where both A and B are
wikipedia articles).
You can't get a user's reading history from this.
The recommendation I am talking about is to point out strongly related
links in an article. For example, if page A is consistently highest ranking
target from page B, then clearly page A is more important to readers of
page B than other links in that page. This can greatly help readers of
articles with lots of links to quickly read the most relevant articles.
What you seem to think is amazon like recommendation system, where you keep
track of each user's habits.
Thanks
On Thu, Jan 9, 2014 at 6:44 PM, Oliver Keyes <okeyes(a)wikimedia.org> wrote:
Re recommendations: I...really hope that's not
going to happen. I can see
us storing that data; I cannot see us storing that data in such a form that
it is possible to reconstruct a user's reading history, which is what would
be required for viable and reliable recommendations.
On 9 January 2014 10:21, Sezgin Sucu <sezsucu(a)gmail.com> wrote:
After exchanging some emails with Erik Zachte, I
learned that there is a
new platform in progress which can enable wikimedia to share referral
strings from browser requests provided that they originate from within
wikipedia. I think this shouldn't raise any privacy concerns. I wonder when
this platform will be available and is there any plan to release such data
for outside researchers once this new platform is ready.
I also think that, wikipedia itself can use this data, to suggest
articles automatically without editor's involvement which can increase the
navigation a bit easier, especially for articles where the reader is not
very familiar with.
Thanks
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Oliver Keyes
Product Analyst
Wikimedia Foundation
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