Access to information is increasingly being shaped by personalised recommendations. People worry about tunnel vision and being caught in a filter bubble. In this ADS Coffee & Data we will address Personalisation and Recommendations in the development of algorithms, and the implications on society of the surge in personalisation.
08:45 – 09:00 Welcome reception with coffee
09:00 – 09:05 Introduction by Maarten de Rijke (https://staff.fnwi.uva.nl/m.derijke/) (Informatics Institute, UvA)
09:05 – 09:35 Julia Kiseleva (http://www.win.tue.nl/~jkiselev/) (TU/e & UserSat) Understanding & Predicting User Satisfaction on Mobile Devices
09:35 – 10:05 Anne Schuth (http://www.anneschuth.nl/about/) (Blendle) Recommending News
10:05 – 10:20 Coffee break
10:20 – 10:50 Xinyi Li (http://www.uva.nl/over-de-uva/organisatie/medewerkers/content/l/i/x.li/x.li.html)(Informatics Institute, UvA) Personalisation & Academic Search
10:50 – 11:20 Balazs Bodo (http://www.ivir.nl/medewerkerpagina/bod) (Institute for Information Law, UvA) Personalised Communication from a User’s Perspective
11:20 – 11:30 Open discussion & wrap-up
11:30 - Drinks and snacks
Call for Pitches:
If you would like to pitch an idea for a project or you have a query that you need a solution for on the Personalisation and Recommendations theme, please send an e-mail to [masked] before 06 June.
You will have 3 minutes to pitch = 1 slide with 3 bullet points (name, idea, what input you would like from the audience). Please send your slide by 09 June to [masked].
Amsterdam Data Science accelerates data science research by connecting, sharing and showcasing world-class technology, expertise and talent from Amsterdam on a regional, national and international level. Our research enables business and society to better gather, store, analyse and present data in order to gain valuable insights and make informed decisions.
ADS is an initiative of:
• Informatics Institute (IvI), Universiteit van Amsterdam (UvA)
• Amsterdam Business School and Amsterdam School of Economics, Faculty of Economics and Business, UvA
• Computer Science, Vrije Universiteit (VU) Amsterdam
• Hogeschool van Amsterdam (HvA)
• Centrum Wiskunde en Informatica (CWI)
We organise Coffee & Data meetings and seminars on cutting-edge research, technologies and best practices.
We invite you to:
• share the data challenges in your organisation with the ADS community
• discover innovative ways to apply data science across fields
• network and discuss leading issues with students and top data scientists