Dietmar Jannach asks the right questions: what should we really measure when researching recommender systems? More Kaggle-style leaderboard chasing?

David @graus provides compelling scientific evidence that the filter bubble, if it exists at all, benefits diversity more than it hurts diversity.

researcher in NL or B (or keen on visiting Amsterdam):

Better register soon: may run out of capacity, so if you are not quick...

Cross-posting from Linked-in.
/cc @dpg

Enjoyed giving a lecture on "Bias in Recommendations" at the SIKS Course "Advances in Information Retrieval," where I explained a bit about our challenges in working with implicit feedback (clicks), and was happy to discover Thorsten Joachims' seminal paper on implicit feedback late yesterday evening in preparation of these slides 😉!



The former ILPS gang taking over medialand in NL, ready at the balcony for the livestream 🍿


The "unofficial" Information Retrieval Mastodon Instance.

Goal: Make a viable and valuable social space for anyone working in Information Retrieval and related scientific research.

Everyone welcome but expect some level of geekiness on the instance and federated timelines.