IR & RecSys in Amsterdam
Researchers and engineers working on Information Retrieval and Recommender Systems in Amsterdam.
Created by
@davidvos.bsky.social
@jasminkareem.bsky.social
Working on Explainable AI in ML and Recommender Systems. PhD Candidate at IRLab Amsterdam and Jheronimus Academy of Data Science, supervised by Maarten de Rijke and Martijn Willemsen.
@philipphager.bsky.social
PhD Student at IRLab Amsterdam | Unbiased ranking and evaluation from user interactions | https://philipphager.github.io/
@aliannejadi.bsky.social
Assistant Professor in Computer Science at IRLab, the University of Amsterdam. http://aliannejadi.com
@din0s.me
Research Engineer at Zeta Alpha. Likes ๐ง neural IR, ๐ model evals, and ๐๏ธ lifting weights. Incredibly optimistic about the future! ๐: din0s_ / ๐ฅ๏ธ: din0s.me
@madelonhulsebos.bsky.social
Faculty at CWI & ELLIS Amsterdam https://trl-lab.github.io. Previously at UC Berkeley and the University of Amsterdam. Research on neural models for tabular data; table representation learning ๐ซ. https://www.madelonhulsebos.com
@kidist-amde.bsky.social
Ph.D. Candidate @ IRLab, UvA | AI Researcher | Information Retrieval | Generative AI | Passionate about responsible AI, multi-modal learning, and tech for real-world impact | Lifelong learner ๐ฑ
@alainstarke.bsky.social
Top-3 best eyelashes in the room | Assistant Professor Persuasive Communication at University of Amsterdam | Adjunct Associate Professor Recommender Systems University of Bergen, Norway #RecSys #CommSci | Wint wel eens een pubquiz
@chuanmeng.bsky.social
Applied Scientist Intern at Amazon, Ph.D. candidate at University of Amsterdam, working on Information Retrieval and Natural Language Processing
@tonylittlewine.bsky.social
PhD student at University of Amsterdam. Working on information retrieval, LLMs and RAG
@davidvos.bsky.social
Responsible #RecSys and #IR in the Generative AI era. PhD Candidate at IRLab Amsterdam, supervised by Maarten de Rijke and Andrew Yates. davidvos.dev