Primary action can be emitting a search term. Secondary can be click to view.
On Tue, Apr 16, 2013 at 4:53 PM, Pat Ferrel <pat.fer...@gmail.com> wrote: > For the cross-recommender we need some replacement for a primary > action--purchases and a secondary action--views, clicks, impressions, > something. > > To use this data we would treat clicks like a purchase--the primary action > we want to recommend. Then the search-result-item-impressions is like a > view in the x-recommender description. In this case the SRII is an item > seen on a search results page. Each SRII would come with a user ID, itemID, > and implicit preference. Clicks also come with userID, itemID and implicit > preference. > > The cross-recommender would have the effect of finding click > recommendations from search result item impressions. At very least this > seems like a way to use clicks to re-rank search results. > > Is this good enough for testing the x-recommender algo? Do we have SRIIs > with item ID and user ID? Maybe there are product page URLs we can use as > item ids? I'll look, thanks. > > > On Apr 15, 2013, at 5:52 PM, Nick Kolegraff <nickkolegr...@gmail.com> > wrote: > > Hey Guys, > This is a dataset that kinda fits the bill, sorta -- probably the closest > thing out there. I got this extracted from BestBuy. Now, while it is more > focused on 'search' opposed to recommendations...could probably double for > a recs problem. > > basically, each userid is mapped to a query that resulted in a click on a > particular sku (product_id). They are the real skus as well, so they can > map back to real products in their products api (this data is also provided > in bulk on kaggle): > > https://bbyopen.com/api-profiles/products-api > http://www.kaggle.com/c/acm-sf-chapter-hackathon-big/data > > > On Mon, Apr 15, 2013 at 2:03 PM, Pat Ferrel <pat.fer...@gmail.com> wrote: > > > MAJOR may be too tame a word. > > > > Furthermore there are several enhancements the community could make to > > support retail data and retail recommenders. For one thing without public > > data a *public* cross-recommender will probably not get built. > > > > The cross-recommender needs to separate actions types and use them in > > slightly different ways so it is important to have a data set with user's > > purchases but also views, add-to-cart, impressions, purchases in groups > > (shopping carts)--whatever events are available with anonymized user IDs. > > > > This data set would be significant in getting new techniques into the > > community and therefore back to people like you. > > > > On Apr 15, 2013, at 9:49 AM, Koobas <koo...@gmail.com> wrote: > > > > Definitely of MAJOR interest. > > I am sure it would also draw all kinds of desired attention to your > > business. > > Movie Lens is way too small to be meaningful any more. > > Wikipedia articles and Stackoverflow tags are not retail data! > > By all means, post some real retail data, if you can. > > Meaningful sizes would be appreciated: millions of customers, > > thousands - tens of thousands products. > > > > > > On Mon, Apr 15, 2013 at 12:27 PM, Robin Morris <r...@baynote.com> wrote: > > > >> I asked management here a while ago whether there would be a problem > with > >> releasing an anonymized set of data from one of our retail customers, > and > >> didn't get too much push-back. If this is something that would be of > >> major interest, I can ask again and see whether there's something we can > >> put out as a community resource. > >> > >> Robin > >> > >> > >> On 4/10/13 8:37 PM, "Pat Ferrel" <p...@occamsmachete.com> wrote: > >> > >>> I have retail data but can't publish results from it. If I could get a > >>> public sample I'd share how the technique worked out. > >>> > >>> Not sure how to simulate this data. It has the important characteristic > >>> that every purchase is also a view but not the other way around and > > Ted's > >>> technique is a way to scrub the views that don't lead to purchases. All > >>> these are implicit preferences but that's not the important part for > > this > >>> technique. > >>> > >>> On Apr 10, 2013, at 4:15 PM, Koobas <koo...@gmail.com> wrote: > >>> > >>> Retail data may be hard to impossible, but one can improvise. > >>> It seems to be fairly common to use Wikipedia articles (Myrrix, > > GraphLab). > >>> Another idea is to use StackOverflow tags (Myrrix examples). > >>> Although they are only good for emulating implicit feedback. > >>> > >>> > >>> On Wed, Apr 10, 2013 at 6:48 PM, Ted Dunning <ted.dunn...@gmail.com> > >>> wrote: > >>> > >>>> On Wed, Apr 10, 2013 at 10:38 AM, Pat Ferrel <p...@occamsmachete.com> > >>>> wrote: > >>>> > >>>>> Does anyone know of a public data set that provides things like views > >>>>> and > >>>>> purchases? > >>>>> > >>>> > >>>> I don't. > >>>> > >>> > >> > >> > > > > > >
