ACM CIKM 2023

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The 32nd ACM International Conference on Information and Knowledge Management
Welcome to Day #3 of #CIKM2023! @ingo gives a run-down of the final day of the conference with a keynote by Steffen Staab, the CIKM business meeting for reflection and the future of the conf, more sessions, and a conference closing.
@ingo opens #CIKM2023 Day Two with a preview of the conference banquet tonight at Aston Villa Football Club.
That wraps up the presentations for #CIKM2023 Day 1. Join us in Affinity 1 for the posters and demos!
Time for another #CIKM2023 coffee break! ☕ Join us back at 4:30 pm for the final sessions of the day on Knowledge Discovery and Retrieval, Users & Behaviour, Transfer Learning, Computer Vision, User Modelling, Knowledge Representation, Sequence Modelling, & Recommendation.
And now for a coffee break following the completion of Chirag Shah's #CIKM2023 keynote.
In his #CIKM2023 keynote Chirag Shah (UWashington) shows when using ChatGPT, it lack of confidence in answering when the system is questioned. "If I don't have the literacy to question the answer, I may not realize this is all wrong."

With the completion of the #CIKM2023 PhD Symposium and the tutorials, the first day of the pre-conference has come to the end.

Join us tomorrow for the second day of CIKM with Workshops* and Industry Day†

* https://uobevents.eventsair.com/cikm2023/pre-conference-programme#:~:text=Sunday%2022nd%20October%20%2D-,Workshops,-Arrival%20Refreshments%20%2D%208

https://uobevents.eventsair.com/cikm2023/industry-day-programme

Programme - Monday 23rd October - CIKM2023

Programme - Monday 23rd October
In using large tabular data as a source, data with decision trees (using GAM-based Explanation of Forests) were initially used with one/two features per tree to produce a uni-variate or bi-variate functions, which are easy to plot. #CIKM2023
Next at the #CIKM2023 PhD Symposium, Alberto Veneri presents their research Explaining Learning-to-Rank Methods to Improve Them. Their explanations are system-centric — make the models simpler to improve the models themselves.
Kislay Raj is presenting their PhD research, "A neuro-symbolic approach to enhance Interpretability of Graph neural network through the integration of external knowledge" at the #CIKM2023 PhD Symposium.