Home > Seminars > Denis Parra - Beyond Ratings and Ranked Lists: Controllable User Interfaces for Recommender Systems

Denis Parra - Beyond Ratings and Ranked Lists: Controllable User Interfaces for Recommender Systems


1/26/2016 at 3:30PM


1/26/2016 at 5:00PM


356 Fitzpatrick


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Chaoli Wang

Chaoli Wang

VIEW FULL PROFILE Email: chaoli.wang@nd.edu
Phone: 574-631-9212
Website: http://www.nd.edu/~cwang11
Office: 383 Fitzpatrick


College of Engineering Associate Professor
Scientific visualization, big data analytics, user interface and interaction, information visualization, visualization in education.
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The vast amount of information available online in the form of Web Pages, Online Social Networks and Mobile Applications provides a great resource to help us stay informed and make decisions, but it also forces us to deal with information overload. Under this scenario, Recommender Systems become and essential tool by providing personalized suggestions to our information needs, to help us choose our favorite products or to find the most appropriate content for our learning outcomes. The research in this area is sometimes framed within the so called "recommendation problem", which has grown from off-line rating prediction and top-N ranking algorithms to more user-centric research of online systems which help users understand why a recommendation was done, providing users with explanations and control over the recommendation process.

In this talk, Professor Parra will briefly introduce the most important algorithms used to develop recommender systems, and then he will present his research in the area (tag-based recommendation, implicit feedback, time-aware methods, HCI) with a special focus on interactive interfaces for recommender systems. He will present results of a recent research project on the cross-roads of Data Mining, Music Recommendation, Affective Computing and HCI for providing mood-aware music recommendations within a novel exploratory interface.

Seminar Speaker:

Denis Parra

Denis Parra

Pontificia Universidad Católica de Chile

Denis Parra is Assistant Professor at the School of Computer Science in the Pontifical Catholic University of Chile. He holds a BS in Informatics from Universidad Austral de Chile and a PhD in Information Science from the University of Pittsburgh, PA, USA. His main interests are Recommender Systems, Information Visualization and Social Networks. He currently teaches Data Mining in the Master Program in Information Processing at PUC and Recommender Systems at the Master Program in Computer Science at the same university. During the last years, he has published in several journals and conferences, such as the International Journal of Human-Computer Studies (IJHCS) and Computer Communications (ComCom), the ACM conferences in Intelligent User Interfaces (IUI), Hypertext and Social Media, WWW, RecSys and UMAP. As an expert in Recommender Systems, he was recently invited to give a keynote on Recommender Systems at the Chilean Computer Science week for newcomer researchers. Denis is also de winner of best paper awards and nominations, at conferences like UMAP and ACM Hypertext. He has been local chair of the ACM Hypertext Conference 2014 and has co-organized the latest two versions of the Social Personalization and Search workshop (SPS) at Hypertext and SIGIR conferences. Professor Parra also leads the Social Computing and Visualization Group (SocVis) at PUC, http://socialcomputing.ing.puc.cl/