- From: Mike O'Neill <michael.oneill@baycloud.com>
- Date: Mon, 13 May 2019 11:07:07 +0100
- To: "'Wendy Seltzer'" <wseltzer@w3.org>, <public-web-adv@w3.org>
I thought up a better way to filter out illicit ad metrics messages, and also expanded some of the explanatory text in my proposal. Since no personal data is communicated there's probably no need for the overhead of Prio or the technique used in federated learning. https://github.com/w3c/web-advertising/blob/master/admetrics.md Following the call I thought about added AB test functionality but decided it's probably orthogonal. There are already means to selectively display content using script, storing the differentiator in a low-entropy cookie or local storage. Here is an example using local storage: https://github.com/w3c/web-advertising/blob/master/abtest.md Mike -----Original Message----- From: Wendy Seltzer <wseltzer@w3.org> Sent: 09 May 2019 21:43 To: public-web-adv@w3.org Subject: [web-adv] May 9 minutes; next call May 16 Hi Web Advertising BG, Thanks for a great conversation today. Minutes are online at: https://www.w3.org/2019/05/09-web-adv-minutes.html We'll meet again next week, May 16, to continue to enumerate and clarify counting use cases, including Sanjay's 5th example (thanks Michael for the summary of the first 4). Dial-in info at: https://lists.w3.org/Archives/Member/internal-web-adv/2018Aug/0000.html (let me know if you need me to send it to you directly). irc is http://irc.w3.org #web-adv Best, --Wendy -- Wendy Seltzer -- wseltzer@w3.org +1.617.715.4883 (office) Strategy Lead, World Wide Web Consortium (W3C) https://wendy.seltzer.org/ +1.617.863.0613 (mobile)
Received on Monday, 13 May 2019 10:07:35 UTC