Hi! I am Denis, Assistant Professor at the Department of Computer Science, in the School of Engineering at PUC Chile. I hold a B.S. in Engineering and a professional title of Civil Engineer in Informatics from UACh, Valdivia, Chile; and a Ph.D. in Information Science from University of Pittsburgh, USA. My research interests are Recommender Systems, Information Visualization and Analysis of Social Networks. I am currently leading the SocVis Research Group.
I have 3-year funding for research on the intersection of HCI + Recommender Systems Algorithms. If you are interested on these topics and want to work under my supervision as Master or PhD student, drop me an e-mail at dparra[at]ing[dot]puc[dot]cl.
June 2017 In a collaboration with professors Christoph Trattner and David Elsweiler, we have published a journal article at PLoS One journal: Monitoring obesity prevalence in the United States through bookmarking activities in online food portals. We analyzed data from the web site and online community allrecipes.com as well as official census data on obesity prevalence in the US, and we were able to related these data, showing that it is possible to understand health issues from aggregating users' activity online. Check more details in the paper, it is Open Access.
March 2017 I receive a WWW 2017 Outstanding Reviewer Award. I am really flattered and glad of this award, since I believe that good constructive reviews (even those rejecting my work) have helped me a lot on improving my research, and I try to do the same for others.
March 2017 A new term starts in Chile in March. I will be teaching IIC1005 Introduction to Computer Science, as well as a module on Recommender Systems in the professional diploma on Big Data at PUC Chile. In march I am attending the IUI 2017 conference (Limassol, Cyprus) and I will also travel to Brasil as part of the committee of the master thesis of Luiz Raul Sanchez Vazquez at Federal University of Minas Gerais, invited by his advisor, Professor Rodrygo Santos.
September 2016 I attended the ACM RecSys 2016 conference in Boston, USA. In collaboration with Dr. Chris Trattner, we presented "Understanding the Impact of Weather for POI Recommendations." In another collaboration, led by Prof. Katrien Verbert, we presented "Scalable Exploration of Relevance Prospects to Support Decision Making." I also co-organized the Large-Scale Recsys Workshop with Tao Ye (Pandora) and Danny Bickson (Dato) Slides here.
August 2016 Second term starting at PUC Chile! Don't miss the Data Science Day 1, tools for information visualization.
July 2016 I attended the UMAP 2016 conference in Halifax, Canada. In addition to presenting our paper "Moodplay: Interactive Mood-based Music Discovery and Recommendation", I gave an invited talk at the IFUP Workshop, titled "Data Fusion for Dealing with the Recommendation Problem", slides here. I also gave another invited talk at the FuturePD workshop about ways to expand our Moodplay system with respect to the emotional context.
May 2016 Our first article on the Moodplay system (link to demo video), a music artists' recommender system based on emotions, was accepted at the UMAP 2016 conference. This is a collaboration with Ivana Andjelkovic and John O'Donovan from University of California, Santa Barbara. In addition, online media in Chile has covered our work such as EMOL, La Tercera, Diario Financiero, and I have also given some interviews to radio stations such as BioBio, Tele13 and Rock & Pop. Read the official news released by the School of Engineering at PUC about this project....older news