#recsys search results

Explore deep learning-based recommendation models. Understand the challenges, optimization techniques, & best practices for training models at scale. Schedule one or more of these #RecSys sessions at #GTC24: ➡️ nvda.ws/3T5oPeo


Recommendation systems are integral to many online platforms, enabling personalized content and product recommendations. At #GTC24, hear how Capital One uses NVIDIA AI to personalize recommendations for advertising on March 20. #recsys #financialservices nvda.ws/3UQusjd


9/23(火)16:30~ Recommender System(#RecSys) 2025 において、名古屋大学 二宮特任助教、三輪教授らと #未来創生センター 鷲見、光田らが、セレンディピティ体験の提供を目指して、人が偶然性を求める心理的要因を明らかにした実験結果を発表します。 dl.acm.org/doi/10.1145/37…

TOYOTA_FRC's tweet image. 9/23(火)16:30~ Recommender System(#RecSys) 2025 において、名古屋大学 二宮特任助教、三輪教授らと #未来創生センター 鷲見、光田らが、セレンディピティ体験の提供を目指して、人が偶然性を求める心理的要因を明らかにした実験結果を発表します。
dl.acm.org/doi/10.1145/37…

名古屋大学 二宮特任助教、三輪教授らと #未来創生センター 鷲見、光田らのショートペーパーが、 Recommender System (#RecSys) 2025 にアクセプトされました。セレンディピティ体験の提供を目指して、人が偶然性を求める心理的要因を明らかにした実験結果をまとめています。#RecSys2025

TOYOTA_FRC's tweet image. 名古屋大学 二宮特任助教、三輪教授らと #未来創生センター 鷲見、光田らのショートペーパーが、 Recommender System (#RecSys) 2025 にアクセプトされました。セレンディピティ体験の提供を目指して、人が偶然性を求める心理的要因を明らかにした実験結果をまとめています。#RecSys2025

#FrontierResearchCenter Sumi et al. will present their collaborative work with Nagoya University (Ninomiya, Miwa, et al.)on identifying psychological factors of "chance-seeking" for serendipitous experiences at #RecSys 2025 on September 23. dl.acm.org/doi/10.1145/37…

TOYOTA_FRC's tweet image. #FrontierResearchCenter Sumi et al. will present their collaborative work with Nagoya University (Ninomiya, Miwa, et al.)on identifying psychological factors of "chance-seeking" for serendipitous experiences at #RecSys 2025 on September 23.
dl.acm.org/doi/10.1145/37…

#FrontierResearchCenter Sumi et al.’s short paper has been accepted for #RecSys2025. This is a collaborative work with Nagoya University (Ninomiya, Miwa, et al.) on identifying psychological factors of individuals seeking a chance for serendipitous experiences. See you at #RecSys

TOYOTA_FRC's tweet image. #FrontierResearchCenter Sumi et al.’s short paper has been accepted for #RecSys2025. This is a collaborative work with Nagoya University (Ninomiya, Miwa, et al.) on identifying psychological factors of individuals seeking a chance for serendipitous experiences. See you at #RecSys

📣Deal of the Day📣 Jul 17 SAVE 45% TODAY ONLY! Real-Time Machine Learning & selected titles: hubs.la/Q03xHddc0 @PremaRoman @PatrickDeziel Learn how to build #machinelearning models that learn while they operate in production environments! #ML #RecSys #MLmodels

ManningBooks's tweet image. 📣Deal of the Day📣 Jul 17

SAVE 45% TODAY ONLY!

Real-Time Machine Learning & selected titles: hubs.la/Q03xHddc0 @PremaRoman @PatrickDeziel 

Learn how to build  #machinelearning models that learn while they operate in production environments! #ML #RecSys #MLmodels

Our team is live from the 18th ACM Conference on Recommender Systems #RecSys, one of the largest international events in the field of artificial intelligence and recommender systems. A deep dive into #AI and research progress!

TISparkle's tweet image. Our team is live from the 18th ACM Conference on Recommender Systems #RecSys, one of the largest international events in the field of artificial intelligence and recommender systems. A deep dive into #AI and research progress!

A new way of evaluating #RecSys models; arxiv.org/abs/2604.13665

AixinSG's tweet image. A new way of evaluating #RecSys models; arxiv.org/abs/2604.13665

@IntRSworkshop at #RecSys2026 The Joint Workshop on Interfaces and Human Decision Making for Recommender Systems will be held at RecSys 2026 in Minneapolis September 27th - October 1st, 2026 #RecSys #HumanMachineInteraction #DecisionMaking


Don’t miss this #CHI2026 paper if you’re working on #RecSys dl.acm.org/doi/10.1145/37…

AixinSG's tweet image. Don’t miss this #CHI2026 paper if you’re working on #RecSys dl.acm.org/doi/10.1145/37…

I built and evaluated a full recommender system pipeline from scratch, covering collaborative filtering, content-based models, and LLM-enhanced hybrids. Here's what I learned #MachineLearning #RecSys


In 2006, Netflix offered $1M to improve recommendations by 10%. The winning idea: matrix factorization. Take a huge user x movie table and compress it into - user vectors (preferences) - movie vectors (attributes) Recommendations = dot product. Revitalized #recsys research


自己写的开源推荐算法框架NextRec 被部署到业务线serving上serving了,支持召回,精排,多任务,表征任务等20余种模型;inbatch采样,样本加权,样本预处理,日志管理,命令行工具,欢迎体验试用🤤 仓库地址:github.com/zerolovesea/Ne… 文档:zerolovesea.github.io/NextRec/zh/ #recsys #推荐算法 #开源项目

github.com

GitHub - zerolovesea/NextRec: A unified, efficient, and extensible PyTorch-based recommendation...

A unified, efficient, and extensible PyTorch-based recommendation library - zerolovesea/NextRec


So you say..... The maths behind the loss function for recommendation algos, specifically collaborative filtering is literally just logistic regression with extra unknowns Seriously 😳 ????? #RecSys


📢 2nd Call for Papers 📢 Working on user-centered #news #recsys or their legal & ethical dimensions? 👉 Submit to the 14th @NewsRecWorkshop co-located w/ @UMAPconf in Gothenburg! 🗓️Paper deadline: April 9, 2026 More info: research.idi.ntnu.no/NewsTech/INRA/… #INRA2026 #UMAP2026

iana_andreea's tweet image. 📢 2nd Call for Papers 📢

Working on user-centered #news #recsys or their legal & ethical dimensions?  

👉 Submit to the 14th @NewsRecWorkshop co-located w/ @UMAPconf in Gothenburg!  

🗓️Paper deadline: April 9, 2026  

More info: research.idi.ntnu.no/NewsTech/INRA/… 

#INRA2026 #UMAP2026

I was honored to deliver the keynote at the ACM #RecSys conference (recsys.acm.org) in Prague last month! My talk, "Recommending in the Age of AI," was a personal look at the evolution of the field and where we're heading next. We've come a long way from the early days

xamat's tweet image. I was honored to deliver the keynote at the ACM #RecSys conference (recsys.acm.org) in Prague last month! My talk, "Recommending in the Age of AI," was a personal look at the evolution of the field and where we're heading next.

We've come a long way from the early days

A new book on #recsys. Well-written and deep technical coverage of recsys algorithms: recommender-systems.com/news/2025/10/2…

RecSys_c's tweet image. A new book on #recsys. Well-written and deep technical coverage of recsys algorithms:
recommender-systems.com/news/2025/10/2…

Congratulations to all the incredible minds recognized at #RecSys'25 for their outstanding research! Keep pushing boundaries and shaping the future of technology! Check out the Best Papers here: acm.org/conferences/be…

ACMDL's tweet image. Congratulations to all the incredible minds recognized at #RecSys'25 for their outstanding research! Keep pushing boundaries and shaping the future of technology! Check out the Best Papers here: acm.org/conferences/be…

обезличенных взаимодействий с 20 млн коротких видео. Принять участие (dev-events.com/recsys-challen…) могут команды до 4 человек или индивидуально, а призовой фонд составит 2,5 млн рублей. #news #ml #recsys #vkdataset #coldstart


#Spotify and its #recsys has landed inside #ChatGPT (for some). With my German Business ChatGPT account, it's not yet working, though. recommender-systems.com/news/2025/10/1… @OpenAI @Spotify #RS_c

RecSys_c's tweet image. #Spotify and its #recsys has landed inside #ChatGPT (for some). With my German Business ChatGPT account, it's not yet working, though.
recommender-systems.com/news/2025/10/1… @OpenAI @Spotify #RS_c

Finished "Recommender Algorithms" book (2025). 50+ algorithms in detail (~300 A4), from the fundamental ones to experimental. Item/User KNN,UserKNN, SlopeOne, SVD++, SLIM, CML, NCF, RNN-based, Deep... 50+ algorithms. testmysearch.com/books/recommen… Any feedback from community #recsys

testmysearch.com

Recommender Algorithms in 2026: A Practitioner's Guide - Rauf Aliev

An essential practitioner's guide to recommender algorithms in 2026, from classic models to deep learning, LLMs, and multimodal systems.


recommender system eval framework! - Beyond accuracy: Precision@K, Recall@K, F1, MAP - Real-world testing with temporal splits - Measures ranking quality, not just relevance - Python + SVD collaborative filtering #recsys #machinelearning

PERIXN's tweet image. recommender system eval framework!
- Beyond accuracy: Precision@K, Recall@K, F1, MAP
- Real-world testing with temporal splits
- Measures ranking quality, not just relevance
- Python + SVD collaborative filtering
#recsys #machinelearning

@Pinterest’s RL tech lead just shared a new paper: Deep Reinforcement Learning for Ranking Utility Tuning in the Ad Recommender System at Pinterest. 🚀 Can’t wait to dive in! 🔗 lnkd.in/ec5Fa5vN #ReinforcementLearning #Recsys #AdTech #MachineLearning #Pinterest


Exploiting playlist titles can push good recommendation and feed a cold-start strategy for #playlist generation. Check our presentation of this morning at @ACMRecSys + code and links at last slide bit.ly/lmrec-2025 // cc @rtroncy #recsys #ai

PasqLisena's tweet image. Exploiting playlist titles can push good recommendation and feed a cold-start strategy for #playlist generation.
Check our presentation of this morning at @ACMRecSys + code and links at last slide 
bit.ly/lmrec-2025
// cc @rtroncy #recsys #ai

Thank you so much for giving me the opportunity to share my understanding of multimodal #RecSys. The workshop was extremely well attended, and there were many questions after my talk. I wish I had been there for a deeper interaction. Here are the slides: personal.ntu.edu.sg/axsun/slides/M…

🚀 #RecSys2025 couldn’t have started any better! @ACMRecSys On Day 1 we hosted the very first workshop on data quality-aware multimodal recommendation (@DaQuaMRec ). A bit of a tongue-twister 🤭, but a huge success 🎉 🧵

alberto_mancino's tweet image. 🚀 #RecSys2025 couldn’t have started any better! 
@ACMRecSys 
On Day 1 we hosted the very first workshop on data quality-aware multimodal recommendation (@DaQuaMRec ).
A bit of a tongue-twister 🤭, but a huge success 🎉

🧵
alberto_mancino's tweet image. 🚀 #RecSys2025 couldn’t have started any better! 
@ACMRecSys 
On Day 1 we hosted the very first workshop on data quality-aware multimodal recommendation (@DaQuaMRec ).
A bit of a tongue-twister 🤭, but a huge success 🎉

🧵
alberto_mancino's tweet image. 🚀 #RecSys2025 couldn’t have started any better! 
@ACMRecSys 
On Day 1 we hosted the very first workshop on data quality-aware multimodal recommendation (@DaQuaMRec ).
A bit of a tongue-twister 🤭, but a huge success 🎉

🧵
alberto_mancino's tweet image. 🚀 #RecSys2025 couldn’t have started any better! 
@ACMRecSys 
On Day 1 we hosted the very first workshop on data quality-aware multimodal recommendation (@DaQuaMRec ).
A bit of a tongue-twister 🤭, but a huge success 🎉

🧵


Join our upcoming Ask Me Anything and learn from the NVIDIA team of #Kaggle Grandmasters who won all three tasks from the KDD Cup'23. #recsys 📆 Sept. 13 at 9 a.m. Pacific 👉 Mark your calendars: nvda.ws/3EsLVEX

NVIDIAAIDev's tweet image. Join our upcoming Ask Me Anything and learn from the NVIDIA team of #Kaggle Grandmasters who won all three tasks from the KDD Cup'23. #recsys

📆 Sept. 13 at 9 a.m. Pacific
👉 Mark your calendars: nvda.ws/3EsLVEX

Learn how to build effective modern recommendation systems at any scale from @Netflix, @Fidelity, and more industry speakers at our #RecSys at Work virtual event. Register Free ➡️ nvda.ws/465cHQ9

NVIDIAAIDev's tweet image. Learn how to build effective modern recommendation systems at any scale from @Netflix, @Fidelity, and more industry speakers at our #RecSys at Work virtual event. 

Register Free ➡️ nvda.ws/465cHQ9

Learn how to build, train, and deploy effective modern recommender systems from @netflix, @Fidelity, and more. Register free for our #RecSys at Work ➡️ nvda.ws/3LAwj6i

NVIDIAAIDev's tweet image. Learn how to build, train, and deploy effective modern recommender systems from @netflix, @Fidelity, and more. 

Register free for our #RecSys at Work ➡️ nvda.ws/3LAwj6i

Don't miss our #datascience #AMA on how to build the best multilingual recommender systems. #recsys Ask questions, and learn from our team of #Kaggle grandmasters who won all the three tasks from KDD Cup'23 🏆. 📆 Sept. 13, 9am PT ➡️ Register now: nvda.ws/44Szzks

NVIDIAAIDev's tweet image. Don't miss our #datascience #AMA on how to build the best multilingual recommender systems. #recsys

Ask questions, and learn from our team of #Kaggle grandmasters who won all the three tasks from KDD Cup'23 🏆.

📆 Sept. 13, 9am PT
➡️ Register now: nvda.ws/44Szzks

9/23(火)16:30~ Recommender System(#RecSys) 2025 において、名古屋大学 二宮特任助教、三輪教授らと #未来創生センター 鷲見、光田らが、セレンディピティ体験の提供を目指して、人が偶然性を求める心理的要因を明らかにした実験結果を発表します。 dl.acm.org/doi/10.1145/37…

TOYOTA_FRC's tweet image. 9/23(火)16:30~ Recommender System(#RecSys) 2025 において、名古屋大学 二宮特任助教、三輪教授らと #未来創生センター 鷲見、光田らが、セレンディピティ体験の提供を目指して、人が偶然性を求める心理的要因を明らかにした実験結果を発表します。
dl.acm.org/doi/10.1145/37…

Hear best practices for building and deploying modern recommender systems across industries from fellow engineers, researchers, & data scientists at @netflix, @Fidelity, & more. Join us at #RecSys at Work 📆 Sept. 27. Register ➡️ nvda.ws/3PiYfN6

NVIDIAAIDev's tweet image. Hear best practices for building and deploying modern recommender systems across industries from fellow engineers, researchers, & data scientists at @netflix, @Fidelity, & more. 

Join us at #RecSys at Work 📆 Sept. 27.
Register ➡️ nvda.ws/3PiYfN6

Register for our #RecSys at Work event to learn best practices for building effective modern recommendation systems at any scale. We will be presenting along with experts from @NetflixResearch and @Fidelity. 📆 September 27 at 11:30 am PT ➡️ nvda.ws/45LWGyc

NVIDIAAIDev's tweet image. Register for our #RecSys at Work event to learn best practices for building effective modern recommendation systems at any scale. 

We will be presenting along with experts from @NetflixResearch and @Fidelity. 

📆 September 27 at 11:30 am PT 
➡️ nvda.ws/45LWGyc

Get training, insights, and access to experts on the latest in recommender systems at #GTC23. Register now. nvda.ws/3Zf4jcT #recsys

NVIDIAAI's tweet image. Get training, insights, and access to experts on the latest in recommender systems at #GTC23. Register now. nvda.ws/3Zf4jcT

 #recsys

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