Research

I see most of my current research in the context of two specialisations in Computer and Information Science. My first specialization is in the scope of "Behavioral Data Analytics" and in particular on "Understanding & Modeling Online User Behavior". The second area of specialization is on "Intelligent Information Systems" development and in particular "Recommender Systems", from an algorithmic and systems perspective.

  • Goal: My research goal is to (1) understand user behavior and to invent intelligent computational methods that are able to simulate and predict user behavior accurately and (2) to research on and develop novel methods (algorithmically or from an HCI perspective) that are able to change and positivly infuence user behavior through, for example, recommender technology.
  • Approach: I would position my approach to research in the intersection of qualitative and quantitative research design with heavy theoretical underpinning from various fields e.g. economy, psychology, physics or medicine. As such I drive small to large-scale offline studies through e.g. empirical analysis or simulations, living lab studies or large-scale online experiments utilizing the wisdom of the crowd, to explore new patterns, to validate algorithms or models or to validate certain theoretically underpinned hypotheses or research questions.
  • Application: In general my work has applications to many domains, but typically where a large number (potentially millions) of users directly or indirectly interact with each other, and where their collective cognitive output needs to be analyzed, modeled, predicted or changed.

Grants

  • 2021: National Research Council Norway - The Double-edged Sword of News Recommenders’ Impact on Democracy (NEWSREC). Amount: 8,000,000NOK (4 years) CO-PI.
  • 2020: National Research Council Norway - MediaFutures: Research Centre for Responsible Media Technology & Innovation. Amount: 26,000,000EUR (8 years) PI.
  • 2020: Alpro Foundation - Communicating the environmental impact of plant based recipes. Amount: 49,000EUR (1 year) PI.
  • 2020: National Research Council Norway - RE-AIMED: Readjusted responses by use of AI in medical calls. Amount: 15,975,000NOK (4 years) PI.
  • 2019: European Union - Interdisciplinary connectivity: Understanding and managing complex systems using connectivity science. Amount: 4,030,279EUR (4 years) Co-Investigator.
  • 2018: National Research Council Norway - ITS for sustainable TRANSport: In-vehicle FEEDback on eco-driving and external costs. Amount: 6,700,000NOK (4 years) Co-Investigator.
  • 2018: National Research Council Norway - Investigating the impact of Artificial Intelligence on the Journalism's Social Contract - Issues of Machine Ethics in Modern Journalism. Amount: 297,000NOK (1 year) Co-Investigator.
  • 2017: Austrian Research Promotion Agency – EcoMove - Knowledge-based platform for predicting mobility bottlenecks and promoting sustainable behavioral change. Amount: 345,424EUR (2 years) Proposal Coordinator & Co-Investigator I was responsible for the coordination of the project proposal and for describing the WP dedicated to predictive modeling and recommender systems.
  • 2017: European Union, ReTV - Enhancing and Repurposing TV Content. Amount: 3,100,000EUR (4 years), Co-Investigator I helped to shape the recommender systems and predictive modeling part of the proposal.
  • 2015: European Union, AFEL - Analytics for Everyday Learning. Amount: 2,581,940EUR (4 years), PI I was re-sponsible for coordinating the project from the KC side and for describing the WPs dedicated to visual analytics and social network analysis.
  • 2014: Austrian Research Promotion Agency – K1 Research Center Grant. Amount: 20,000,000EUR (8 years) Co-PI This grant proposal was written to extend the funding period (supported by the national science fund FFG) of the Know-Center for the next 8 years. I contributed significantly to this proposal by setting up a detailed strategic research & financial plan with according industry partners for the newly created research area social computing – one out of four research areas at the center.
  • 2014: Austrian Research Promotion Agency – 6 COMET funded industry projects. Amount: ~500,000EUR (1 year) PI I co-acquired 6 scientific industry projects supported with grants by the national science fund (FFG) in the area of Social Computing; one of the project partners is one of the largest media companies in central Europe; an other one is an young German company winning the European start-up competition prize in Amsterdam.
  • 2014: European Union - Marie Curie ERCIM – Alain Benssousan Fellowship. Amount: 50,000EUR (1 year) PI This proposal was written to conduct individual in-depth research on the problem of predictive modeling in big data with colleagues at NTNU in Norway. This research is supported by ERCIM - the European Research Consortium of Informatics and Mathematics – acceptance rate 19/186
  • 2013: Austrian Research Promotion Agency – 3 COMET funded industry projects. Amount: ~250,000EUR (1 year) PI I co-acquired three industry projects supported with grants by the national science fund (FFG) in the area of Social Computing.
  • 2012: Austrian Research Promotion Agency – Innovation Check Grant . Amount: 5,000EUR (1 year) PI This grant proposal was written to conduct in-depth research on the problem of social recommender systems on multi-dimensional data. The research was conducted together with an Austrian start-up with the goal to develop a prototypical social recommender system approach for a virtual marketplace.
  • 2012: Marshall Plan - Visiting Scholar Fellowship. Amount: 7,500USD (5 months) PI This proposal was written to conduct individual in-depth research on the topic of efficient information access in social systems.
  • 2011: Austrian Research Promotion Agency - Dissertation Fellowship. Amount: 100,000EUR (2 years) PI This proposal was written together with my PhD advisor Denis Helic to conduct individual in-depth research on the topic of tag-based information access in social systems. I contributed significantly to the ideas, the study planning, and the overall research plan.

Awards

  • 2020: ACM Senior Member for technical leadership, and technical or professional contributions.
  • 2020: Momentum Stipend at UiB. Momentum is UiB’s flagship development programme for early stage researchers - postdocs, forsker or førsteamanuensis – who wish to pursue an academic career at a research university. Amount: 100,000NOK
  • 2018: Austrian Chamber of Commerce (WKO) Prize for our proposal on "A predicative Facebook advertising model for the Austrian food retail trade".
  • 2017: On the list of the Annual Best of Computing in ACM Computing Reviews for our work on "VizRec: recommending personalized visualizations" published in ACM TiiS.
  • 2017: Best Paper Award Honorable Mention at the World Wide Web Conference (WWW’17), Perth, Australia.
  • 2014: Best Poster Award at the ACM Conference on Hypertext and Social Media (HT’14), Santiago de Chile, Chile.
  • 2013: Best Paper Award at the International Conference on Social Eco Informatics (SOTICS’13), Barcelona, Spain.
  • 2013: Second Best Poster Award at the ACM Web Science Conference (WebSci’13), Paris, France.
  • 2012: Best Paper Award at the International Conference on Knowledge Management and Knowledge Technologies (I-Know’12), Graz, Austria.
  • 2012: Douglas Engelbert Best Paper Nomination at the ACM Conference on Hypertext and Social Media (HT’12), Milwaukee, USA.
  • 2012: ACM Student Travel Award to attend the ACM Conference on Hypertext and Social Media (HT’12), Milwaukee, USA.
  • 2011: Young Scholar Best Paper Award at the International Conference on Information Technology Interfaces (ITI’11), Cavtat, Croatia.
  • 2010: SFG & OFG International Travel Award from the Austrian Science Funds SFG & OFG.

Selected Publications (Last 5 years)

Behavioral Data Analytics

  • Nudging Health Choices in Food Search Through Visual Attractiveness. Starke, A.D., Willemsen, M.C. and Trattner, C. Frontiers in Artificial Intelligence. 2021. PDF
  • Visual Cultural Biases in Food Classification. Zhang, Q., Elsweiler,D. and Trattner, C. Foods. 2020. [Thomson Reuters IF: 3.1] PDF
  • The Impact of Recipe Features, Social Cues and Demographics on Estimating the Healthiness of Online Recipes. Rocicki, M.*, Trattner, C.* and Herder, E. (* equal contribution). In Proceedings of the 12th International AAAI conference on Web and Social Media (ICWSM), 2018. PDF
  • Investigating the utility of the weather context for point of interest recommendations. Trattner, C., Oberegger, A., Marinho, L. and Parra, D. Information Technology & Tourism, 2018. PDF
  • Predicting Trading Interactions in an Online Marketplace through Location-Based and Online Social Networks. Eberhard, L., Trattner, C. and Atzmueller, M. Information Retrieval Journal, 2018. PDF

Recommender Systems

  • Towards Responsible Media Recommendation. Elahi, M., Jannach, D., Skjærven, L., Knudsen, E., Sjøvaag, H., Tolonen, K., Holmstad, Ø., Pipkin, I., Throndsen, E., Stenbom, A., Fiskerud, E., Oesch, A., Vredenberg, L. and Trattner, C. AI & Ethics, Springer Nature. 2021. PDF
  • Recommender Systems in the Healthcare Domain: State-of-the-Art and Research Issues. Tran, T.N.T, Felfernig, A., Trattner, C. and Holzinger, A. Journal of Intelligent Information Systems. 2020. [Thomson Reuters IF: 1.8] PDF
  • Learning to Recommend Similar Items from Human Judgements. Trattner, C. and Jannach, D. User Modeling and User-Adapted Interaction Journal. 2019. [Thomson Reuters IF: 3.4] PDF DATA
  • Content-based artwork recommendation: integrating painting metadata with neural and manually-engineered visual features. Messina, P., Dominguez, V., Parra, D., Trattner, C. and Soto, A. User Modeling and User-Adapted Interaction Journal. 2018. PDF
  • The Roadmap to User-Controllable Social Exploratory Search. di Sciascio, C., Brusilovsky, P., Trattner, C. and Veas, E. ACM Transactions on Interactive Intelligent Systems. 2018. PDF

See Full List of Publications

Talks (slightly outdated)

You may find the slides of some of the talks below on my SlideShare account.

  1. 11/2020: Invited Keynote Talk at Cutting Edge Science and Engineering Symposium: Advances in personalised healthcare and wellbeing support technologies organised by CSIRO
    Title: Online Food Recommendations: A complex problem?
  2. 11/2019: Invited Keynote Talk at the Alan Turing Conference on Decision Support and Recommender Systems, Alain Turing Institute, UK
    Title: Computational Data Analytics for Health Decision Making
  3. 10/2019: Invited Talk at the Center for Nutrition @ UiB, Norway
    Title: Computational Data Analytics for Health Decision Making
  4. 09/2019: Invited Keynote Talk at the ComplexRec Workshops at RecSys'19, Copenhagen, DK
    Title: Online Food Recommendations: A complex problem?
  5. 09/2019: Invited Talk at the ACM RecSys'19 Summerschool, Gothenburg, Sweden
    Title: Food Recommender Systems
  6. 07/2019: Invited Talk at the University of Bolzano, Italy
    Title: Computational Data Analytics for Health Decision Making
  7. 05/2019: Invited Talk at Pandora HQs, San Francisco, USA
    Title: Computational Data Analytics for Health Decision Making
  8. 12/2018: Invited Talk at Infomedia’s Christmas Seminar, Solstrand, Norway
    Title: Learning to Recommend Similar Items from Human Judgements
  9. 11/2018: Invited Talk at JKU, Linz, Austria
    Title: Computational Data Analytics for Health Decision Making
  10. 10/2018: Invited Talk at Recommender Systems Workshop at NCE Media, Bergen, Norway
    Title: Recommender Systems and the Media
  11. 10/2018: Invited Poster Presentation at ACM RecSys’18
    Title: Healthy Menus Recommendation: Optimizing the Use of the Pantry
  12. 10/2018: Invited Poster Presentation at ACM RecSys’18
    Title: Towards Explanations for Visual Recommender Systems of Artistic Images
  13. 9/2018: Invited Talk at the University of Stavanger, Norway
    Title: Computational Social Science for Health Decision Making
  14. 6/2018: Invited Talk at the AAAI ICWSM Workshop on Social Media and Health, Stanford, USA
    Title: Towards Health-Aware Food Recommender Systems
  15. 3/2018: Invited Talk at the Algorithm Winter School, Geilo, Norway
    Title: An Introduction to Recommender Systems
  16. 10/2017: Invited Talk at the University of Bergen, Bergen, Norway
    Title: Towards Health-Aware Food Recommender Systems
  17. 07/2017: Invited Talk at the University of Haifa, Haifa, Israel
    Title: Towards Health-Aware Food Recommender Systems
  18. 07/2017: Invited Keynote Talk at the 1st Latin American Workshop on Recommender Systems & Visualisation at Pontificia Universidad Catolica de Chile, Santiago, Chile
    Title: Towards Health-Aware Food Recommender Systems
  19. 04/2017: Paper Presentation at WWW’17, AU
    Title: Investigating the Healthiness of Internet-Sourced Recipes: Implications for Meal Planning and Recommender Systems
  20. 09/2016: Paper Presentation at RecTour WS at RecSys’16, USA
    Title: Understanding the Impact of Weather for POI Recommender Systems
  21. 07/2016: Invited Talk at MODUL University Vienna, Austria
    Title: From Behavioral Analytics to Predictive Modeling on the Web
  22. 05/2016: Invited Talk at University of Southampton, UK
    Title: Understanding, Modeling & Changing Food Patterns on the Web
  23. 11/2015: Invited Talk at TU Delft, Delft Netherlands
    Title: From Behavioral Analytics to Predictive Modeling on the Web
  24. 10/2015: Invited Talk at University of Bolzano, Bolzano, Italy
    Title: Studying Online Food Consumption and Production Patterns: Recent Trends and Challenges
  25. 10/2015: Poster Presentation at DMRS’15, Bolzano, Italy
    Title: Biases in Online Food Recipe Production
  26. 6/2015: Poster Presentation at WWW’15, Florence, Italy
    Title: Temporality in Online Food Recipe Consumption and Production
  27. 1/2015: Invited Talk at Yahoo Trondheim, Trondheim, Norway
    Title: Human Cognition in Recommender Systems
  28. 12/2014: Invited Talk at Graz University of Technology, Graz, Austria
    Title: Twitter in Academic Conferences
  29. 11/2014: Invited Talk at University of Ghent, Ghent, Belgium
    Title: Social Computing in the area of Big Data
  30. 11/2014: Invited Talk at Norwegian University of Science and Technology, Trondheim, Norway
    Title: Social Computing in the area of Big Data
  31. 10/2014: Invited Talk at Yahoo! Research, Barcelona, Spain
    Title: Social Computing in the area of Big Data
  32. 9/2014: Invited Talk at I-Know/EC-TEL’14, Graz, Austria
    Title: Towards a BigData Recommender Engine for Online and Offline Marketplaces
  33. 9/2014: Invited Talk at Pontificia Universidad Catolica de Chile, Santiago, Chile
    Title: Social Computing in the area of Big Data
  34. 9/2014: Paper Presentation at ACM HT’14, Santiago, Chile
    Title: Recommending Items in Social Tagging Systems Using Tag and Time Information
  35. 4/2014: Poster Presentation at WWW’14, Seoul, South Korea
    Title: Who will trade with Whom: Predicting Seller Buyer Interactions through Social Networks
  36. 10/2013: Paper Presentation at ACM CIKM’13, San Francisco, USA
    Title: Recommending Tags with a Model of Human Categorization
  37. 10/2013: Invited Talk at University of Tallinn, Tallinn, Estonia
    Title: An open light-weight framework for social-semantic personalization and recommendation
  38. 7/2013: Invited Talk at Mendeley (Elsevier), London, UK
    Title: Je t’aime. . . moi non plus: reporting on the opportunities, expectations and challenges of a real academic-industrial collaboration
  39. 2/2013: Invited Talk at Hewlett-Packard, Vienna, Austria
    Title: Why Social Network Research is Good for You!
  40. 9/2012: Paper Presentation at I-Know’12, Graz, Austria
    Title: Pragmatic Evaluation of Concept Hierarchies
  41. 6/2012: Paper Presentation at ACM HT’12, Milwaukee, USA
    Title: Evaluating Tag-Based Information Access in Image Collections
  42. 11/2011: Invited Talk at University of Pittsburgh, Pittsburgh, USA
    Title: Enhancing the Navigability of Social Tagging Systems
  43. 11/2011: Paper Presentation at ICWI’11, Rio de Janero, Brazil
    Title: Social Media Marketing with Facebook: A Case Study
  44. 9/2011: Paper Presentation at I-Know’11, Graz, Austria
    Title: Enhancing the Navigability of Social Tagging Systems with Tag Taxonomies
  45. 8/2011: Invited talk at University of Ohrid, Macedonia
    Title: Networks Navigability: Theory and Applications
  46. 7/2011: Paper Presentation at IEEE ITI’11, Dubrovnik, Croatia
    Title: Improving the Navigability of Tagging Systems with Hierarchically Constructed Resource Lists: A Comparative Study
  47. 6/2011: Paper Presentation at ICWE’11, Phaphos, Cyprus
    Title: NAVTAG - A Network Theoretic Framework to assess and improve the navigability of tagging systems
  48. 10/2010: Paper Presentation at ICWI’10, Timisoara, Romania
    Title: QueryCloud: Automatically linking related Documents via Search Query (Tag) Clouds
  49. 7/2010: Poster Presentation at ICWE’10, Vienna, Austria
    Title: Linking Related Documents: Combining Tag Clouds and Search Queries
  50. 6/2010: Paper Presentation at IEEE ITI’10, Dubrovnik, Croatia
    Title: Enriching Tagging Systems with Google Query Tags
  51. 6/2010: Paper Presentation at IEEE ITI’10, Dubrovnik, Croatia
    Title: Social Networks and eLearning: New Model for Learning at Workplace

Copyright © 2024 Christoph Trattner (Last updated: Jan 3rd, 2024)