Excited to announce our first SEA of the year, hosting two amazing speakers: Alexandra Olteanu (Alexandra Olteanu) from Microsoft Research, New York and Svitlana Vakulenko (Svitlana Vakulenko 🇺🇦) from ILPS, Amsterdam. Reserve your spot here: meetup.com/SEA-Search-Eng…

Excited to start a new adventure today as an intern at Apple!

Together with Rolf Jagerman and Maarten de Rijke, we will present the The Web Conference 2020 tutorial: Unbiased Learning to Rank: Counterfactual and Online Approaches For obvious reasons, this tutorial will be presented virtually. If you are attending WWW, online or in-person, consider joining!

The slides for our upcoming The Web Conference tutorial: "Unbiased Learning to Rank: Counterfactual and Online Approaches" with Maarten de Rijke and Rolf Jagerman are now available here: ilps.github.io/webconf2020-tu… The current plan is that the video will be pre-recorded, more information to follow!

I am very happy to announce that our (Maarten de Rijke Rolf Jagerman) The Web Conference tutorial: "Unbiased Learning to Rank: Counterfactual and Online Approaches" is now available on YouTube: youtube.com/watch?v=BEEfMr… Our website for the slides, references and more info: ilps.github.io/webconf2020-tu…

"Accelerated Convergence for Counterfactual Learning to Rank" w/ Maarten de Rijke accepted as full paper at #sigir2020

Just published my first blog post about our recent work on safe exploration for contextual bandits! ilps.science.uva.nl/safe-explorati…

Last Friday was my last official day at @ILPS_Amsterdam... It has been an amazing 4 years and I am excited for my next adventure at Google!

I am happy to announce that our paper "Improving Cloud Storage Search with User Activity" has been accepted at #WSDM2021! w/ Weize Kong @RamK1729 Michael Bendersky Marc Najork

PhD Vacancy: Search and Recommendation Systems that Learn from their Users I am looking for a PhD student to work on the next generation of ranking systems. Fully funded position, great working environment, very friendly colleagues! RT appreciated :) ru.nl/english/workin…

Our #WSDM2021 paper "Improving Cloud Storage Search with User Activity" is now available at research.google/pubs/pub50003/

Great to see TF-Ranking continue to grow with a lot of new features and improvements! Check out this recent blog post by Michael Bendersky and Xuanhui Wang to learn more: ai.googleblog.com/2021/07/advanc…

Rolf Jagerman and I are giving a tutorial on Unbiased Learning-to-Rank at the Netherlands Research School for Information and Knowledge Systems (SIKS), this is part of the larger "Advances in Information Retrieval" course. Offline event, 4-5 October 2021: siks.nl/IR-2021.php

Are you building a Learning to Rank (LTR) model? Check out the new documentation and tutorials for the TensorFlow Ranking library → tensorflow.org/ranking

Happy to announce that our short paper "On Optimizing Top-K Metrics for Neural Ranking Models" with Zhen Qin, Xuanhui Wang, Michael Bendersky and Marc Najork was accepted at #SIGIR2022!

Excited to be attending #SIGIR2022 in person! Looking forward to enjoying the conference in this beautiful venue.

Very happy to announce Rax: a library for LTR in the JAX ecosystem! Looking forward to presenting this work at #KDD2022 next week. In the meantime, check out our blogpost (ai.googleblog.com/2022/08/rax-co…), paper (research.google/pubs/pub51453/) and github (github.com/google/rax)!

Check out our new learning to rank library in the JAX ecosystem!

Attending #KDD2022? Come check out our poster about Rax. Happy to discuss Rax, JAX and Learning-to-Rank in person!

Excited to attend #SIGIR2023 in person!