From one side "-": filter bubble, reinforcement of my biases. From other "+": personalization helps you to serve suitable content. Where is a middle ground? Is not it personalization is actually done by reinforcing of my biases?
The new account (and hopefully permanent one for future editions) for #ICTIR#ICTIR2018 is @acm_ictir !!! Please follow and be up to date wit all the news! https://t.co/xZHOyKucpC
ICTIR provides a forum for foundational aspects of Information Retrieval. We’re calling for papers - please have a look at https://t.co/13L6c31bbW, then follow "Submissions". Next deadline is for long paper abstracts - March 30, 2018. #ICTIR2018
Please read about our new work on "optimizing interactive systems with data-driven objectives": https://t.co/MAoEAYfaBW with @uvazm_li@agrotov@mdr and Harrie. Looking forward to your comments!
Interested in doing IR/ML research in Glasgow? One week left to apply to our faculty position @GlasgowCS - position closing on 28th Feb. https://t.co/YlCcXYEjRD
Interested in machine learning and search engines? @904Labs will talk about it at Emerce #techlive18 on May 29, 2018 (Amsterdam). https://t.co/YxeXzaAvFy
Our newly funded Horizon2020 EU project @BigDataStackEU has now a homepage at: https://t.co/4diLqzF2YR - there is already a short description of the project and more content will be added shortly.
Join us next week at SEA: talks on Chat Classification and Controversy Detection, with Gianluigi Bardelloni (KPN) and Bob van de Velde (UvA). Sign up at: https://t.co/HQh08oC9DS
Our paper, "Learning to Learn from Weak Supervision by Full Supervision", with Sascha Rothe, Aliaksei Severyn, and @jkamps has been accepted at NIPS2017 workshop on Meta-Learning. #nips2017#MetaLearn2017