Seminar: Computational Psychology in Recommender Systems, Marko Tkalčič, University of Primorska (Slovenia).

Online

ABSTRACT: Recommender systems are systems that help users in decision-making situations where there is an abundance of choices. We can find them in our everyday lives, for example in online shops. State-of-the-art research in recommender systems has shown the benefits of behavioural modeling. Behavioural modeling means that we use past ratings, purchases, clicks etc. to model the user preferences. However, behavioural modeling is not able to capture certain aspects of the user preferences. In this talk I will show how the usage of complementary research in computational psychology, such as detection of personality and emotions, can benefit recommender systems.

News personalization with “Curate”

MediaFutures MCB Store læringsrom, Læringslab 3rd floor

MediaFutures invites to a seminar on news personalization with Schibsted in MediaFutures headquarter, MCB, 3rd floor. The seminar will also be streamed. The Curate project has been created to enable […]

Transparency, Privacy, and Fairness in Recommender Systems

MediaFutures MCB Store læringsrom, Læringslab 3rd floor

MediaFutures has invited Dipl.Ing. Dr.techn. Dominik Kowald from Graz, Austria to talk about transparency, privacy and fairness in recommender systems. He is research area manager in Fair AI at the Know-Center […]