Goodbye everybody! (written for CS mailing no. 16 of 11 July)
I am proud to announce that I will join Radboud University's faculty of science as professor of Federated Search
I am confused: At the #SIGIR business meeting, the executive committee claimed that "all ACM SIGIR publications are permanent open access on the DL", but that is clearly not the case, see my attempt to download Bruce Croft's SIGIR 2019 keynote paper.
Clair Patterson is one of the most underrated scientists ever: He estimated the earths age based on uranium-lead dating, and successfully defied big oil to save us all from lead poissoning, even though the oil lobby deprived him from a lot of funding.
#SIGIR 2020 Test of time award goes to Hao Ma et al. SIGIR 2009 "Learning to recommend with social trust ensemble"
#SIGIR 2020 Test of time award Honorable Mention 2: Guihong Cao et al. SIGIR 2008
#SIGIR 2020 Test of time award Honorable Mention 1: Georges Dupret and Benjamin Piwowarski, SIGIR 2008
Best #SIGIR2020 short paper: Shi Yu et al. "Few-short conversational query rewriting"
#SIGIR 2020 Short paper honorable mention: Jianxin Chang: "Bundle recommendation with graph convolutional networks"
Best #SIGIR2020 paper: Marco Mornik et al. "Controlling fairness and bias in dynamic learning to rank"
Honorable mention best paper award #SIGIR2020: Fan Zhang et al. "Models vs Satisfaction"
Going to find out how deep learning works for Information Retrieval with Dacheng Tao. #SIGIR2020
Norbert Fuhr's recommendations for gaining scientific knowledge from experiments:
1. Do not use MRR or MAP;
2. Instead of relative improvements, regard the effect size!
3. For multiple significance tests, use a correction, such as Bonferoni or Tukey's HSD (NB comparing only to the 2nd best method does not help!)
4. There are no significant improvements for re-usable test collections! (hypotheses have to be formulated before the work)
Nice! Harrie Oosterhuis presenting a new counter-factual learning to rank approach that takes the item display policy (top-k cut-off) into account. #SIGIR2020
Next: Women in Information Retrieval panel (featuring moi)
Guoxiu He discusses the creation of a children-friendly reading environment (focusing among others on detecting pornographic material) #SIGIR2020
Lei Han studied how people search while using Jupyter notebooks. #SIGIR2020
Gregory Goren studies how to counter-act adverserial attacks (read: SEO) on search algorithms.
This work is desparately needed in IR! #SIGIR2020
Zong-Ben Xu's #SIGIR2020 keynote discusses machine learning along 4 hypotheses.
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