Top Tweets for #RecSysReveal2019
Next Wednesday #MLitRW will include a poster session. @Martinbpr kindly accepted to answer your questions at my poster (from #RecSysReveal2019), and the extended abstract has just been posted on ArXiv https://t.co/HL4seZzAbr.
One of the most interesting papers for me from the #RecSysReveal2019 workshop and from #recsys2019 in general. Admittedly preliminary work, but I think there is a huge potential in the proposed metric. Check it out if you haven't already!
Slides from my talk at the #RecSysReveal2019 workshop on "Recap: Designing a more Efficient Estimator for Off-policy Evaluation in Bandits with Large Action Spaces" #RecSys2019 https://t.co/RiF9QiaQSo
Slides from my talk at the #RecSysReveal2019 workshop on "Recap: Designing a more Efficient Estimator for Off-policy Evaluation in Bandits with Large Action Spaces" #RecSys2019 https://t.co/RiF9QiaQSo
Gave the last #recsys2019 talk on "Sequence aware Reinforcement Learning on Knowledge Graphs" in the last session of the #RecSysReveal2019 workshop yesterday!
We propose leveraging item sequence information when training RL models over product knowledge graph
work w/ @AshishG03
We ❤ metrics at #RecSysReveal2019 but the best are the ones that correlate with online metrics. @JustinBasilico presents Recap, a "variant" on SNIPS.
Thanks to all that made the REVEAL2019 workshop a success! @moustaki @thorstenjoachim @olivkoch, Maria Dimakopoulou, Adith Swaminathan and our invited speakers: @mounialalmas @CraigBoutilier @TonyJebara and Damien Lefortier! #recsys2019 #RecSysReveal2019 See you in Rio!
Consider participating in the RecoGym challenge https://t.co/NBRoWcGq71 #RecSysReveal2019. The prize: 3000 euros for the winning team!
Very last talk of the week, no pressure #RecSysReveal2019 #recsys2019 "Sequence-aware Reinforcement Learning over Knowledge Graphs"
We ❤ metrics at #RecSysReveal2019 but the best are the ones that correlate with online metrics. @JustinBasilico presents Recap, a "variant" on SNIPS.
.@JustinBasilico from @NetflixResearch now talking about Recap: Designing a more Efficient Estimator for Off-policy Evaluation in Bandits with Large Action Spaces #RecSysReveal2019
Causality is a recurring problem in advertising, also defined as incrementality: do ads bring "additional" value? Damien presents how this topic is tackled at Facebook #recsys2019 #RecSysReveal2019
Thanks for all the nice comments on my poster at #RecSysReveal2019 @moustaki @alansaid @mounialalmas I can't tag everyone 🙂. I hope this preliminary work can turn into something more useful at some point!
The work by @olivierjeunen and colleagues demonstrates well the kind of experiments you can do with @RecoGym. #RecSysReveal2019
Back to focus mode and #RecSysReveal2019 with @mounialalmas on metrics for user engagement. #Recsys2019
And the #RecSysReveal2019 surprise announcement is... the @RecoGym challenge. 3000€ prize, starting October 1st. #recsys2019
Maria Dimakopoulou from @NetflixResearch talks about the necessary assumptions in slate recommendation #RecSysReveal2019 #Recsys2019
Maria Dimakopoulou now talking about Marginal Posterior Sampling for Slate Bandits #RecSysReveal2019
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