#recsys2022 search results
I'm psyched to be giving a keynote at the @ACMRecSys Workshop for Online Recommender Systems. I'll be talking about ... ... juice. And a bit about real-time recommender systems. Friday, Sep 23rd, 2pm. Come say hi! Details: orsum.inesctec.pt/orsum2022/, @orsum_ws #RecSys2022
The REVEAL + CONSEQUENCES workshop at #RecSys2022 is probably the largest academic workshop I have attended. Goes on for two days too!
.@JavierSanzCruza is talking at the #finrec #recsys2022 on evaluation metrics for asset recommendation
🤖 How to address 2 billion daily Internet users in one millisecond response time? 🚀 to find out, visit Criteo booth #13 at #RecSys2022 Our team will explain how to leverage Data, AI, and ML to achieve this level of performance in product recommendation 💪
Taking in the amazing view of Seattle and Mt. Rainier! 🗼🏔️ Perfect way to lose my jetlag before #RecSys2022
Now @JavierSanzCruza is giving an overview of @Infinitech_EU to the #finrec #recsys2022 project - including hearing a snippet by @jsoldatos et al
Congrats on a successful #RecSys2022 round, Planning for your next Conf.? Join us in #ECIR2023, Key dates: -Long papers (30 Sep. Abstract , 7 Oct. Paper) -Short papers (14 Oct. Abstract , 21 Oct. Paper) -Demo & Reproducibility (21 Oct) -Tutorials ( 10 Nov) -Industry (9 Jan)
Now in #RecSys2022 @KarsWorkshop, @mvlacho1 is describing our work on conversation performance prediction for fashion conversational recommendation
Today is the 1st workshop day! Unsure about which one to attend? Check out the program on our website or in the RecSys Hub! Morning + Afternoon PDT: - CONSEQUENCES + REVEAL - PERSPECTIVES - IntRS - RecSys in HR - RecTour Afternoon only PDT: - KaRS - RecSys Challenge #RecSys2022
First announcement about @ACMRecSys summer school and #recsys2023 at the closing of #RecSys2022 .. add to your plans!
Do you like challenges? 🎲 Every day at 3:30pm, come and test your knowledge of Machine Learning/AI with Criteo and try to win great prizes #raspberry Pi3! Criteo booth #13 @ACMRecSys #RecSys2022
Dove into #RecSys2022 insights on media recommender systems 📺. Key takeaways: Balance trending & diverse content 🔄 Refine with subtle user interactions 🖱️ Prioritize user privacy & recommendation quality 🛡️ Tailor for niche audiences 🎯 Real-time chatbot recommendations 🗣️…
Read our paper to learn how to train models up to a terabyte by loading subsets of embedding tables on-demand into a #GPU. Unleash the computational power of GPUs to provide fast and accurate recommendations. @ACMRecsys #RecSys2022 nvda.ws/3CuzBEl
In this blog, we present a four-stage design pattern that explains what recommender systems (not just models) look like in production. @ACMRecsys #RecSys2022 #RecSys22 medium.com/nvidia-merlin/…
Our #RecSys2022 workshop was recorded, and is now integrally available online. Invited talks, contributed papers, and a tutorial all in one! Huge thanks to @HarrieOos for his editing efforts, and everyone for making the workshop a success.
The full-recording of our CONSEQUENCES workshop is finally available on YouTube, check it out here: youtu.be/N-nn1500Q-g 5 hours made of 1 tutorial, 2 keynotes and 6 paper presentations! 😄 All about causality, counterfactuals and sequential decision-making in #RecSys. 🤖🧠💻
youtube.com
YouTube
RecSys2022 CONSEQUENCES workshop - full recording
For those who missed our workshop at #RecSys2022, the recording is available now!😎
The full-recording of our CONSEQUENCES workshop is finally available on YouTube, check it out here: youtu.be/N-nn1500Q-g 5 hours made of 1 tutorial, 2 keynotes and 6 paper presentations! 😄 All about causality, counterfactuals and sequential decision-making in #RecSys. 🤖🧠💻
youtube.com
YouTube
RecSys2022 CONSEQUENCES workshop - full recording
In this blog, we present a four-stage design pattern that explains what recommender systems (not just models) look like in production. @ACMRecsys #RecSys2022 #RecSys22 medium.com/nvidia-merlin/…
In this paper, the NVIDIA team presents its solution from the @ACMRecSys Challenge for building an effective session-based #recommender using NVIDIA AI for more refined, robust, and accurate recommendations. #RecSys22 #RecSys2022 nvda.ws/3T9LGVo
Seminar by @JavierSanzCruza @GlasgowCS summarising some of our work done as part of the EU @Infinitech_EU project on financial asset recommendations. The work was initially presented at FinRec @ #recsys2022
Awesome publication from TikTok team at #recsys2022; A generic approach for building production systems, which reviews various design choices: parameter sync intervals, colissionless embeddings (Cuckoo Hashing), how Kafka is used to log user actions... arxiv.org/abs/2209.07663
In this blog, we present a four-stage design pattern that explains what recommender systems (not just models) look like in production. @ACMRecsys #RecSys2022 #RecSys22 medium.com/nvidia-merlin/…
Expedia Group will be at @ACMRecSys between Sept 18-23 in Seattle. If you're attending in person, swing by our Booth and don't miss our Sponsor Meetups happening throughout the week! #RecSys2022
Last month at the #RecSys2022 conference, we presented our paper on #FlowMoods, the system used on @Deezer to recommend music by moods. Our team just turned it into a blog post! ♫ deezer.io/how-deezer-bui…
deezer.io
How Deezer built the first emotional AI
This year, Deezer’s recommendation team taught its feature Flow to recognize emotions in music. Here’s the story of Flow’s moods.
先月シアトルで開催された #RecSys2022 に現地参加した橋爪( @runnlp )と冨田( @miiitomi )による参加レポートを公開しました🗒Industryセッションでのポスター発表やWorkshopでの口頭発表についての紹介や、現地の様子も合わせてお届けしています。ぜひご覧ください。 developers.cyberagent.co.jp/blog/archives/…
#rassegnastampa Da @TargatoCN: "Peveragno: alla dottoressa @noemi_mauro1 il "Journal Paper of the Year award"" targatocn.it/2022/10/16/leg… #RecSys2022 #WomenInRecSys #torino #unito #research #recommendersystems #ai #artificialintelligence #technology @FridaUnito @FridaUnito
Our #NeurIPS2022 final version is ready with all related code and datasets. It includes 11 recommendation tasks with various baseline implementations, hope it will be a reliable benchmark for new + old researchers in RS. #recsys2022 #SIGIR2022 #KDD2022
Our paper TenRec accepted in #NeurIPS2022, a large-recommender system #Recsys dataset, covering 10 recommender tasks, with 4 scenarios & 6 user feedback. We released all baseline codes and will create a leaderboard for benchmarking RS advances. openreview.net/forum?id=PfuW8…
When you earn as a #PhD #Student and you get to go to the US twice in a month 😂😂 #RecSys2022 #CIKM2022 #Seattle #Atlanta
#prize E' ricco l'autunno del nostro Dipartimento! #Congratulazioni alla Dr.ssa @noemi_mauro1 che ha ricevuto a @ACMRecSys il "Women in RecSys: Journal Paper of the Year Awards" categoria "Junior Researchers" recsys.acm.org/women-in-recsy… #RecSys2022 #WomenInRecSys #torino @unito
Two weeks later, but I finally have my #RecSys2022 bag (with my SV t-shirt and full of cool things). It brings back a lot of good memories 😁
The proceedings of 9th @IntRSworkshop Joint Workshop on Interfaces and Human Decision Making for Recommender Systems @IntRSworkshop co-located with 16th ACM Conference on Recommender Systems #recsys2022 is now available online with open access. ceur-ws.org/Vol-3222/
In this paper, the NVIDIA team presents its solution from the @ACMRecSys Challenge for building an effective session-based #recommender using NVIDIA AI for more refined, robust, and accurate recommendations. #RecSys22 #RecSys2022 nvda.ws/3T9LGVo
The REVEAL + CONSEQUENCES workshop at #RecSys2022 is probably the largest academic workshop I have attended. Goes on for two days too!
Thanks to the review team for the great discussions on the topics for my keynote at #perspectives and many other things #RecSys2022
I guess I can now tell that I have sort of visited #RecSys2022 Right, @HarrieOos? It is great to see my Amsterdam friends visiting Seattle
.@JavierSanzCruza is talking at the #finrec #recsys2022 on evaluation metrics for asset recommendation
Excited to attend my first post covid conference at @ACMRecSys ! We are hiring applied research scientists at Lowe’s to help build best in class recommendations experience for home improvement domain. #recsys2022
#recsys2022 hands tutorial on Explainable Recommender Systems with Knowledge Graphs thread 🧵 explainablerecsys.github.io/recsys2022/
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