PinnedPavel Kordík·Mar 23, 2023Explaining recommender systems to product ownersUnderstanding the benefits and potential biases (in media)
Pavel Kordík·Sep 3The Great Convergence: Recommendation, Search, and Conversation in Real-World AI SystemsKeynote on the state of information retrieval in 2026. For the full slide deck, check out: https://kordikp.github.io/slaidy/isd2026/
InData Science CollectivebyPavel Kordík·Apr 2Mathematics Behind Recommender SystemsMy presentation for students of Charles University in Prague motivating them to study math, do original research and support them in…
Pavel Kordík·Jan 5, 2025How to Hire an Applied Scientist?I am sharing the story of how we improved the hiring process for the Applied Scientist position at Recombee. In this post, I will outline…
Pavel Kordík·Sep 13, 2024From Meetings to Code: How AI Tools Helped Me Rediscover ProgrammingTwenty years ago, I was deeply immersed in the world of programming. I spent my days crafting research prototypes in Java and C++, pushing…
Pavel Kordík·Aug 16, 2022Artificial intelligence students need GPUs for their projectsIn the past, university projects were not as costly as nowadays. AI students working on interesting projects need to be prepared to invest…
Pavel Kordík·Dec 19, 2021Highlights from AI research seminar at FIT CTUReview of interesting AI papers
Pavel Kordík·Mar 14, 2021Few shot learning — learning to learn from a few examplesIntroducing new algorithm for few-shot learning achieving state of the art performance (see papers with code).
Pavel Kordík·Mar 8, 2021Making education system more personalizedThis weekend we managed to organize UNIHACK 2021, international ideathon designed to disrupt existing educational systems.
InRecombee blogbyPavel Kordík·Nov 10, 2020Deep Learning for Recommender Systems: Next basket prediction and sequential product recommendationAccurate “next basket prediction” will be enabling next generation e-commerce — predictive shopping and logistics. In this blogpost, we…A response icon1A response icon1
