Trial lecture for appointment as associate professor - Bruce Ferwerda

Welcome to attend Bruce Ferwerda’s trial lecture for appointment as associate professor!

Title:

When Personalization is Not Enough: A Case of RecSys

Abstract:

Recommender systems are technologies that help us navigate through the abundance amount of online content that we have at our disposal nowadays. Services such as Netflix, Spotify, and Amazon have become indispensable in our lives. They continuously analyze our behavioral patterns to estimate our future behaviors, preferences, and needs. These estimations are used to produce recommendations to support us in our decision-making process by narrowing down our choice options.

This talk will take you on a past, present, and future journey through the world of recommender systems. A high-level overview will be provided starting with where recommender systems are coming from and highlight some of the challenges that these systems were facing that brought them to where they currently are. In here I will provide some examples of the line of research within personalization that I have been pursuing. The talk will end with a vision statement of where recommender systems (should) head in to for the future.

Welcome to the lecture!