Open thegreatfatzby opened 1 year ago
I admit I don't yet fully understand this use case. My initial reaction is the same answer that I gave you in https://github.com/WICG/turtledove/issues/207#issuecomment-1573022990:
We're still remaining as conservative as feasible when it comes to Protected Audience data sharing: the bidding for a particular ad is based only on (1) information about the user's activity on the site where they were added to the Interest Group, and (2) information from the site the ad is going to appear on. Combining IGs joined across different sites would change that model.
If you don't think that answer is a good match for this question, then my apologies, and we should probably discuss this in one of our Protected Audience phone calls so that we can boil down the flow to its essentials.
If you do think my answer matches your question, and what you're really proposing is a way to loosen the "only two sites" stance without giving away arbitrary web-wide profiles, then I'm interested in understanding more, but please know that this is not going to be a short-term priority — we expect to be focused on functionality within the privacy boundaries we've already established, rather than on expanding those boundaries.
I think it might be all of the above, meaning in short:
Privacy Model Would definitely like to understand the core tenets of the privacy model better (is there a place that is stated? I could have sworn I saw one and now can't find it), but while it was not my intention to stretch the model, given your statement re 2 parties, then yes I would be. Is the "2 parties" boundary a core piece of the privacy model (in the same way that partitioning, k-anon, dp, etc are) or is that a second level boundary that has been chosen on top of the core model (to be clear in no way criticizing, jus trying to understand.
Mostly Good Match
I do want to make one important differentiation between this what was discussed in #207. I reviewed and was reminded that, initially, it seemed like I was asking to essentially co-mingle the userBiddingSignals
between IGs in different contexts, when what I meant was co-mingling the userBiddingSignals
between IGs in the same context. In this case there would not be co-mingling of userBiddingSignals
or any other IG property, but it would bring in 3rd party and allow "co-mingling" in a more indirect way via the deal id. I believe with K-Anon applied to the deal ID it would still match what I understand to be the core privacy model, but as stated above I don't understand those perfectly yet so want to learn more there.
Further Discussion I would really like to discuss further on a PATCG call if we can, but I suspect we'll wind up in the position you discussed.
No need to respond, putting a note down for future reference after some internal discussion, I think we'd have to have a k-anon check of the combination of deal ID and then the creative URL.
Initial Note I think there are a few use cases here and doing something more abstract could be good, but let me start with one motivating case and solution, and then wave my hands at something broader.
Background Ad Tech has a general concept of a "Deal", where a buyer and seller agree to some special parameters of buying on the sellers inventory, typically for things like preferential pricing, access, and ranking, and to also allow details to be hidden through a "package", i.e. the deal could be for "People Likely to Buy Tennis Stuff in the Next 10 Days on Sports Inventory", but without revealing the details of how that is determined, at least not programmatically. This is not an exchange/ssp/dsp specific concept as it is accounted for in the OpenRTB specs, although individual Ad Tech's may offer their own spin or value ad.
Some relevant details include:
As currently stands we can determine some set of eligible deals in the Contextual Auction and pass them through in the
auctionConfig.auctionSettings
for buyers to target (preferably via OpenRTB structure as indicated elsewhere :) ).The main Fledge doc seems to contemplate the multi-party example:
however it's not clear to me from the docs how that would happen.
Challenge As alluded, I believe deal eligibility will be limited to data available in the 1st Party Context. For inventory filtering this meets current functionality (pretty sure), but there is functionality loss on user targeting in cases where the eligibility would have been determined based on data not available in the 1st Party Context.
Proposal There's a lot of details we'd need to figure out but I'll stick with a medium level of detail that I think can motivate the idea and discussion, and if we go in this direction we can flesh out more details.
The idea is to allow a way for IGs to target "deals" and pass that information on to other IGs in a way that takes advantage of existing deal interop but still with K-anonymity constraints.
generateDeals()
, same arguments as togenerateBid()
which will return a list of deal objects containing an ID and list of buyers, in our case IG owner domains, that can target it. (I'll generally say have the format correspond to OpenRTB, something something).runAuction()
and the calls togenerateBids()
, in which any IG withIG.generateDeals()
is first filtered using the same mechanics as currently indicated for IGs, and if unfiltered runs.generateBid
call via a newbrowserSignals.eligibleDeals
, filtering theIG.owner
against the deal's eligible buyer domains.generateBid
function can include a targetedDeal element in thead
.ad.deal_id
), a reportResult call is made to the owner of the IG that produced the deal.If need be we could require that an IG has either
generateBid
orgenerateDeals
but not both. It could also make sense for there to be a specific reporting function that could be invoked,reportDealWin
, but we might just be able to use existing functions. There might need to be a deal owner origin in returned deal object fromgenerateDeal
, need to dig on that more. Let's start here.Callback to Initial Note Going a bit wider with this, the ability for IGs to interact with each other more (although not infinitely) would be very powerful from an Ad Tech's perspective. Deals is one major existing case, 3rd party data is another, and depending on how far you went with IG Dependency Management, you could see buyers and sellers doing interesting matching. I don't want to couple this proposal to a broader "IG Dependency Management" system, I think there's enough to discuss with this one "little" case, but want to call it out as a thought.