Seminar by Prof Dietmar Jannach: “Recommender Systems – Beyond Matrix Completion”
We are delighted to announce a seminar by Prof Dr Dietmar Jannach on Recommender Systems. Dietmar Jannach is a well-known researcher in the field of recommender systems and author of the book “Recommender Systems: An Introduction“.
Title: Recommender Systems – Beyond Matrix Completion
Abstract: Automated recommendations have become a common part of our daily online user experience. Significant advances were made in recent years in terms of algorithmic approaches to compute recommendations for users. The main task in such an algorithm-focused setting is to predict through machine learning approaches how relevant a certain item will be for an individual user. Usually, the underlying problem is abstracted to one of completing a sparse user-item rating matrix. In this talk, I will introduce the basic concepts of recommenders and then discuss why being able to make accurate rating predictions not necessarily leads to the most useful recommendations in practice. We will then discuss a novel conceptual framework that shall lead us from today’s algorithm-centric perspective to a more interdisciplinary and purpose-oriented research approach.
Bio: Dietmar Jannach is a full professor of Information Systems at AAU Klagenfurt, Austria. Before joining AAU in 2017, he was a professor of Computer Science at TU Dortmund, Germany. In his research, he focuses on the application of intelligent system technology to practical problems and the development of methods for building knowledge-intensive software applications. In the last years, Dietmar Jannach worked on various practical aspects of recommender systems. He is the main author of the first textbook on the topic published by Cambridge University Press in 2010 and was the co-founder of a tech startup that created an award-winning product for interactive advisory solutions.
Date: 21 February, 11:00-12:00
Location: Large Conference Room in the O´ Reilly Insititute, Trinity College Dublin.