The information retrieval research group at the Radboud University Nijmegen. Senior staff: @arjenpdevries @djoerd @fhasibi @HarrieOos
Nijmegen, The Netherlands
Joined July 2020
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We are excited to be at #SIGIR2023 next week! 🌞🇹🇼🏙️
Our group has six presentations this year, see the overview below.
Come talk to us if you want to know more about our research, group or university and job openings! 😄
Informagus - Information Retrieval Research Group retweeted
3⃣days left until the ICTIR paper submission deadline! ⏰
We look forward to your submissions.
ICTIR 2024 CFP is now available: ictir2024.org/call-for-paper…
Key dates
Paper submission deadline: April 25, 2024
Notification of acceptance: June 6, 2024
Conference date: July 13, 2024
Co-located with SIGIR'24: July 14-18.
ICTIR'24 has its own day before the entire SIGIR program
Informagus - Information Retrieval Research Group retweeted
ICTIR 2024 CFP is now available: ictir2024.org/call-for-paper…
Key dates
Paper submission deadline: April 25, 2024
Notification of acceptance: June 6, 2024
Conference date: July 13, 2024
Co-located with SIGIR'24: July 14-18.
ICTIR'24 has its own day before the entire SIGIR program
Informagus - Information Retrieval Research Group retweeted
Happy to share that our paper "Doing Personal LAPS: LLM-Augmented Dialogue Construction for Personalized Multi-Session Conversational Search" got accepted at #SIGIR2024 full paper track! 🥳
This is an amazing outcome of the collaboration between @grill_lab_ai and @informagus!
Informagus - Information Retrieval Research Group retweeted
I am looking for a PhD candidate to work on machine learning for search systems! 👩🎓👨🎓
We offer a fully funded position, freedom in your research direction, great working environment and very friendly colleagues.
You can apply here: ru.nl/en/working-at/job-oppo…
RT is appreciated! 😄
ALT Want to obtain your PhD? Radboud university is looking for: PhD Candidate: Search Systems that Learn from their Users Are you eager to study how search systems can learn from user interactions? Do you seek to optimize complex goals with statistically-sound machine learning? Then join the Insitute of Computing and Information Sciences (iCIS) as a PhD candidate!
Informagus - Information Retrieval Research Group retweeted
On the afternoon session at #DIR2023 we hear from @arjenpdevries about OpenWebSearch.EU . A big hello to @djoerd !
Informagus - Information Retrieval Research Group retweeted
The ever impressive @arjenpdevries talking about Personal search engines..#dir2023
Informagus - Information Retrieval Research Group retweeted
I am very happy to be a recipient of this year's NWO Veni-grants! 😄 🎉
One of ten in our university and 188 in the country.
This grant will allow me to devote three years of research on developing a Bayesian paradigm for learning from user interactions with search engines.
Informagus - Information Retrieval Research Group retweeted
Looking forward to our tutorial in Taipei this Sunday! ✈️😎
We have three hours of very polished material to bring you the latest and greatest in learning from user interactions for search and recommendation.
Check out the preview slides to get an idea. 😄
See you there!
🚀Exciting news! Join us @SIGIRConf this Sunday for a tutorial on the latest advancements in Unbiased Learning-to-rank!📈 Hope to see you soon! Here's a preview of the lecture docs.google.com/presentation… @_Jin_Huang_ @AliVardasbi Philipp Hager @HarrieOos @irlab_amsterdam #SIGIR2023.
Informagus - Information Retrieval Research Group retweeted
Submit your extended abstract on causality, counterfactuals, decision making or fairness in #RecSys to our @ACMRecSys workshop!
We are looking forward to your submissions and presentations in our program.
CONSEQUENCES '23 is open for submissions! Check out our call for contributions and get your extended abstracts ready: sites.google.com/view/conseq…
We're looking forward to receiving your work, deadline is August 3rd. Spread the word! #RecSys2023
Informagus - Information Retrieval Research Group retweeted
Excited about our #RecSys2023 paper acceptance:
We propose using beta distributions to model user preferences.
Our approach combines accurate confidence modelling, competitive predictive performance and minimal model complexity.
Kudos to @NormanKnyazev for brilliant work! 🎉
Our #RecSys2023 full paper:
A Lightweight Method for Modeling Confidence in Recommendations with Learned Beta Distributions
with @HarrieOos has been accepted! 🎉😄
See you in Singapore! 😎
Informagus - Information Retrieval Research Group retweeted
Our #RecSys2023 full paper:
A Lightweight Method for Modeling Confidence in Recommendations with Learned Beta Distributions
with @HarrieOos has been accepted! 🎉😄
See you in Singapore! 😎
Informagus - Information Retrieval Research Group retweeted
Last Friday, I had the pleasure of hosting @HarrieOos at our ShareChat ML Seminar. Really enjoyed his talk, and definitely learned a few new things!
I was also informed we got the scoop of having the first video recording of this talk 👀 check it out!
youtube.com/watch?v=r6iq-epH…
Informagus - Information Retrieval Research Group retweeted
Happy to share that our paper, "A Deep Generative Recommendation Method for Unbiased Learning from Implicit Feedback" with @HarrieOos @mdr got accepted at the ICTIR 2023. We propose a modification to the VAE for RecSys model to account for the popularity bias in the dataset.
Informagus - Information Retrieval Research Group retweeted
Today we had the pleasure of listening to a virtual talk from @HarrieOos about counterfactual learning to rank for search and recommendation. It was great to hear about some of his upcoming work that will also be presented this year at #sigir2023
ALT Invited Talk by Harrie Oosterhuis: From Inverse-Propensity-Scoring to Doubly Robust Estimation Counterfactual Learning to Rank for Search and Recommendation
Informagus - Information Retrieval Research Group retweeted
Pre-print of our #SIGIR2023 paper is on arXiv: arxiv.org/abs/2305.01522
Safe Deployment for Counterfactual Learning to Rank with Exposure-Based Risk Minimization
@shashank27392 @HarrieOos @mdr
About reducing the chance that a learned policy is worse than the production system.
Our #SIGIR2023 full paper:
Safe Deployment for Counterfactual Learning to Rank with Exposure-Based Risk Minimization
has been accepted! 🎉😄
Congrats to first author: @shashank27392 and co-author: @mdr
See you in Taipei! 😎
Informagus - Information Retrieval Research Group retweeted
I was interviewed for the April edition of I/O magazine (@NWONieuws)😁
Check out the full article about our research group in the tweet below 👇
nitter.cf/informagus/status/1653…
The Radboud data science group, of which we are part of, was covered by the April edition of I/O magazine (@NWONieuws).
See the screenshots below for the article and our energetic group photo😄
or check out the full publication here:
ict-research.nl/wordpress/wp…
The Radboud data science group, of which we are part of, was covered by the April edition of I/O magazine (@NWONieuws).
See the screenshots below for the article and our energetic group photo😄
or check out the full publication here:
ict-research.nl/wordpress/wp…
Informagus - Information Retrieval Research Group retweeted
Excited to share that our full paper, "Cross-Market E-Commerce Question Answering by Jointly Ranking Questions and Products," has been accepted at #SIGIR2023 @SIGIRConf w/ @maliannejadi , @hamedrab , @ekanou @arjenpdevries , @jallan_umass, and @djoerd 🎉