Controversial Ideas & Discussions
In our blog, we once in a while publish controversial ideas of which we believe that a discussion may advance the recommender-system community.
These blog posts a as follows.
Don’t give space billionaires control over internet services and recommendations [Financial Times]
J Scott Christianson argues in a letter published by Financial Times (PayWall), that Elon Musk should not be given so much power about internet services, including recommender systems.
“Recommendation” is the most popular term at the SIGIR 2020 conference — what does that mean for the RecSys community?
SIGIR 2020 is the premier venue for research in the field of Information Retrieval. I am typically on the program committee at SIGIR. Recently, i.e. since 2 years or so, I had the feeling that submissions relating to recommender systems strongly increased at SIGIR, especially this year. My impression seems to be confirmed today: According […]
Why is there no ‘International Journal on Recommender Systems’?
The data mining community has it, the information retrieval community has it, and the machine learning & AI community has it: (top) journals. It seems that only the recommender-system community has no journal, exclusively for its community. Top recommender-system articles beyond the ~8-page limit for the ACM RecSys Conference hence are scattered across many different […]
‘Papers with Code’ / NeurIPS Guidelines for Publishing Research Code: A Role Model For Recommender-Systems?
The recommender-system community is facing a reproducibility crisis. This has recently been demonstrated by the authors of the paper Are we really making much progress? A worrying analysis of recent neural recommendation approaches (Maurizio Ferrari Dacrema, Paolo Cremonesi, Dietmar Jannach). However, the crisis is not new, and has been recognized (at least) a decade ago […]
Why are there no continental chapters of the ACM Conference on Recommender Systems? E.g. the Asian or European Conference on Recommender Systems (RecSysAsia / RecSysEU)?
The number of submissions and participants at the ACM Conference on Recommender Systems is increasing, year by year. Sometimes, the conference is even sold out or moves short-notice to a new larger venue. Acceptance rates decreased from 46% in its first year (2007) to below 20% in recent years. Among the rejected papers, there are […]