ADS Coffee & Data: Personalisation and Recommendations


Details
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.
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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
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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 e.r.kenny@uva.nl 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 e.r.kenny@uva.nl.
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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.
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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

ADS Coffee & Data: Personalisation and Recommendations