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
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@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
Analytics mailing list Analytics@lists.wikimedia.org https://lists.wikimedia.org/mailman/listinfo/analytics
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@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@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
Analytics mailing list Analytics@lists.wikimedia.org https://lists.wikimedia.org/mailman/listinfo/analytics
-- Oliver Keyes Product Analyst Wikimedia Foundation
Analytics mailing list Analytics@lists.wikimedia.org https://lists.wikimedia.org/mailman/listinfo/analytics