Home
  • E-mailChristoph.Trattner@uib.no
  • Phone+47 453 96 180
  • Visitor Address
    Fosswinckelsgt. 6
    5007 Bergen
    Room 
    611
  • Postal Address
    Postboks 7802
    5020 Bergen

I see most of my previous and current research on computational approaches to understand, model and predict user information behavior in Big data and the Social Web. 

  • Expertise: AI, Machine Learning, Data Mining, Data Science, User Modeling and Recommender Systems
  • Goal: My research goal is to understand information behavior, to invent intelligent computational methods that are able to simulate and predict this behavior accurately and to research on novel ways (algorithmically or from an HCI perspective) that are able to change or influence the user in her or his information processing or uptake.
  • 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.

At the University of Bergen, I am currently teaching Information Systems (more courses to be announced soon). Before that I have been working at MODUL University Vienna, where I was teaching the courses on Information Systems Management, Information Systems, Marketing Intelligence and Emerging Tools for New Media and Information Management on BSc, MSc and MBA levels. Before coming to MODUL I was at Graz University of Technology, where I taught, co-taught and assisted a series of courses (BSc and MSc level), such as, Web Science & Web Technology, Introduction to Knowledge Technologies or Information Systems (see full list below). I also regularly co-supervise and mentor BSc, MSC and PhD theses.

If you want to do a thesis under my supervision (PhD, MSc, BSc), please send me an email: christoph.trattner@uib.no. There are several research topics I would like to give away to very good students!

Journal articles
  • Gallofré Ocaña, Marc; Nyre, Lars; Opdahl, Andreas Lothe; Tessem, Bjørnar; Trattner, Christoph; Veres, Csaba. 2019. Towards a Big Data Platform for News Angles. CEUR Workshop Proceedings. 2316: 17-29.
  • Trattner, Christoph; Kusmierczyk, Tomasz; Nørvåg, Kjetil. 2019. Investigating and predicting online food recipe upload behavior. Information Processing & Management. 56: 654-673. doi: 10.1016/j.ipm.2018.10.016
  • Caldeira, Jefferson; Oliveira, Ricardo M.; Marinho, Leandro Balby; Trattner, Christoph. 2018. Healthy Menus Recommendation: Optimizing the Use of the Pantry. CEUR Workshop Proceedings. 2216: 2-7.
  • Dominguez, Vicente; Messina, Pablo; Trattner, Christoph; Parra, Denis. 2018. Towards explanations for visual recommender systems of artistic images. CEUR Workshop Proceedings. 2225: 69-73.
  • Eberhard, Lukas; Trattner, Christoph; Atzmueller, Martin. 2018. Predicting trading interactions in an online marketplace through location-based and online social networks. Information retrieval (Boston). 1-38. doi: 10.1007/s10791-018-9336-z
  • Elsweiler, David; Ludwig, Bernd; Said, Alan; Schäfer, Hanna; Torkamaan, Helma; Trattner, Christoph. 2018. Proceedings of the 3rd International Workshop on Health Recommender Systems (HealthRecSys’18) co-located with the 12th ACM Conference on Recommender Systems (ACM RecSys 2018). CEUR Workshop Proceedings.
  • Messina, Pablo; Dominguez, Vicente; Parra, Denis; Trattner, Christoph; Soto, Alvaro. 2018. Content-based artwork recommendation: integrating painting metadata with neural and manually-engineered visual features. User modeling and user-adapted interaction. 1-40. doi: 10.1007/s11257-018-9206-9
  • Trattner, Christoph; Moesslang, Dominik; Elsweiler, David. 2018. On the predictability of the popularity of online recipes. EPJ Data Science. 7: 1-39. doi: 10.1140/epjds/s13688-018-0149-5
  • Trattner, Christoph; Oberegger, Alexander; Marinho, Leandro Balby; Parra, Denis. 2018. Investigating the Utility of the Weather Context for Point of Interest Recommendations. Information Technology & Tourism. 19: 117-150. doi: 10.1007/s40558-017-0100-9
Book sections
  • Atzmueller, Martin; Chin, Alvin; Trattner, Christoph. 2018. International Workshop on Modeling Social Media (MSM 2018) Chairs' Welcome & Organization. MSM Workshop. In:
    • Champin, Pierre-Antoine; Gandon, Fabien; Médini, Lionel; Lalmas, Mounia; Ipeirotis, Panagiotis. 2018. Proceedings of the 2018 World Wide Web Conference. Association for Computing Machinery (ACM). 1949 pages. ISBN: 978-1-4503-5639-8.
  • Trattner, Christoph; Murdock, Vanessa; Chang, Steven. 2018. ACM recsys'18 late-breaking results (posters). Poster Session. In:
    • Pera, Sole; Ekstrand, Michael; Amatriain, Xavier; O'Donovan, John. 2018. Proceedings of the 12th ACM Conference on Recommender Systems. Association for Computing Machinery (ACM). 583 pages. ISBN: 978-1-4503-5901-6.
  • Trattner, Christoph; Rocicki, Markus; Herder, Eelco. 2018. The Impact of Recipe Features, Social Cues and Demographics on Estimating the Healthiness of Online Recipes. 310. In:
    • AAAI, Press. 2018. Proceedings of the Twelfth International Conference on Web and Social Media. AAAI Press. 754 pages. ISBN: 978-1-57735-798-8.
  • Trattner, Christoph; Said, Alan; Boratto, Ludovico; Felfernig, Alexander. 2018. Evaluating Group Recommender Systems. 3. In:
    • Felfernig, Alexander. 2018. Group Recommender Systems. Springer. 173 pages. ISBN: 978-3-319-75066-8.

More information in national current research information system (CRIStin)

  1. Food Recommender Systems: Important Contributions, Challenges and Future Research Directions. Trattner, C. and Elsweiler, D. Collaborative Recommendations: Algorithms, Practical Challenges and Applications, World Scientific Publishing Co. Pte. Ltd., 2018. PDF
  2. Evaluating Group Recommender Systems. Trattner, C., Said, A., Boratto, L. and Felfernig, A. Group Recommender Systems: An Introduction, Springer, 2018. PDF
  3. 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
  4. TCNSVD: A Temporal and Community-Aware Recommender Approach. Shahriari, M., Barth, M., Klamma, R. and Trattner, C. In Proceedings of the Temporal RecSys workshop held at ACM RecSys, 2017. PDF
  5. Comparing Neural and Attractiveness-based Visual Features for Artwork Recommendation. Dominguez, V., Messina, P., Parra, D., Mery, D., Trattner, C. and Soto, A. In Proceedings of the Deep Learning RecSys workshop held at ACM RecSys, 2017. PDF
  6. Monitoring obesity prevalence in the United States through bookmarking activities in online food portals. Trattner, C., Parra, D. and Elsweiler, D. PLOS ONE 12(6), 2017.  PDF
  7. On the Relations Between Cooking Interests, Hobbies and Nutritional Values of Online Recipes: Implications for Health-Aware Recipe Recommender Systems. Trattner, C., Rocicki, M. and Herder, E.. In Proceedings of the ACM Conference on User Modeling and Personalisation (UMAP), 2017.  PDF
  8. Exploiting Food Choice Biases for Healthier Recipe Recommendation. Elsweiler, D.*, Trattner, C.* and Harvey, M. (* equal contribution). In Proceedings of the ACM SIGIR Conference (SIGIR), 2017.  PDF
  9. Towards Health (Aware) Recommender Systems. Schaefer, H., Hors-Fraile, S. Karumur, R., Calero Valdez, A., Torkamaan, H., Ulmer, T., Said, A. and C. Trattner. In Proceedings of the ACM Digital Health Conference (DH), 2017.  PDF
  10. Tags, Titles or Q&As? Choosing Content Descriptors for Visual Recommender Systems. Mutlu, B., Veas, E. and Trattner, C. In Proceedings of the ACM Conference on Hypertext and Social Media (Hypertext), 2017.  PDF
  11. How Editorial, Temporal and Social Biases Affect Online Food Popularity and Appreciation. Rocicki, M., Herder, E. and Trattner, C. In Proceedings of the 11th International AAAI conference on Web and Social Media (ICWSM), 2017.  PDF
  12. Investigating the Healthiness of Internet-Sourced Recipes: Implications for Meal Planning and Recommender Systems. Trattner, C. and Elsweiler, D. In Proceedings of the World Wide Web Conference (WWW), 2017. Best Paper Award Honorable Mention  PDF
  13. Estimating the Healthiness of Internet Recipes: A Cross-Sectional Study. Trattner, C. Elsweiler, D. and Simon, H. Frontiers in Public Health, 2017.  PDF
  14. FOODWEB – Studying Food Consumption and Production Patterns on the Web.Trattner, C., Kusmierczyk, T., Norvag, K. ERCIM NEWS (104), 2016.  PDF
  15. Plate and Prejudice: Gender Differences in Online Cooking. Rocicki, M., Herder, E., Kusmierczyk, T. and Trattner, C. In Proceedings of the International Conference on User Modeling and Personalisation (UMAP), 2016.  PDF
  16. Understanding and Predicting Online Food Production Patterns. Kusmierczyk, T., Trattner, C. and Norvag, K. In Proceedings of the ACM Conference on Hypertext and Social Media (Hypertext), 2016.  PDF
  17. VizRec: Recommending Personalized Visualizations. Mutlu, B., Veas, E. and Trattner, C. ACM Transactions on Interactive Intelligent Systems (TiiS), Volume 6, Issue 4, 2016.  PDF
  18. Modeling Activation Processes in Human Memory to Predict the Use of Tags in Social Bookmarking Systems. Trattner, C., Kowald, D., Seitlinger, P., Kopeinik, S. and Ley, T. The Journal of Web Science (JWS), Volume 2, Issue 1, 2016.  PDF
  19. Twitter in Academic Events: A Study of Temporal Usage, Communication, Sentimental and Topical Patterns in 16 Computer Science Conferences. Computer Communications Journal (COMCOM), Volume 73, Part B, 2016.  PDF
  20. Understanding the Impact of Weather for POI Recommendations. Trattner, C., Oberegger, A., Eberhard, L., Parra, D. and Marinho, L. In Proceedings of the ACM RecSys Workshop on Recommenders in Tourism (RecTour), 2016.  PDF 
  21. Recommending Sellers to Buyers in Virtual Marketplaces Leveraging Social Information. Eberhard, L. and Trattner, C. In Proceedings of the International Conference on World Wide Web Companion (WWW), 2016.  PDF
  22. The Impact of Image Descriptions on User Tagging Behavior: A Study of the Nature and Functionality of Crowdsourced Tags. Lin, Y., Trattner, C., Brusilovsky, P. and He, D. Journal of the American Society for Information Science and Technology (JASIST), 2015.  PDF
  23. Using the Hybrid Social Learning Network to Explore Concepts, Practices, Designs and Smart Services for Networked Professional Learning. Cook, J., Ley T., Maier, R., Y., Santos, P., Lex, E., Dennerlein, S., Trattner, C. and Holley, D. In State-of-the-Art and Future Directions of Smart Learning, Springer. pp 123-129, 2015.  PDF
  24. Detecting Partnership in Online and Location-based Social Networks. Trattner, C. and Steurer, M. Social Network Analysis and Mining (SNAM), Volume 5, Issue 32, 2015.  PDF
  25. Are Real-World Place Recommender Algorithms Useful in Virtual World Environments?. Marinho, L., Trattner, C. and Parra, D. In Proceedings of the ACM Conference on Recommender Systems (RecSys), 2015. PDF
  26. Language, Twitter and Academic Conferences. Garcia, R., Gomez, D., Parra, D., Trattner, C., Kaltenbrunner, A. and Graells-Garrido, E. In Proceedings of the ACM Conference on Hypertext and Social Media (Hypertext), 2015. PDF
  27. Good Times Bad Times: A Study on Recency Effects in Collaborative Filtering for Social Tagging. Larrain, S., Trattner, C., Parra, D, Graells-Garrido, E. and Norvag, K. In Proceedings of the ACM Conference on Recommender Systems (RecSys), 2015. PDF
  28. Towards a Recommender Engine for Personalized Visualizations. Mutlu, B., Veas, E., Trattner, C and Sabol, V. In Proceedings of the International Conference on User Modeling, Adaptation and Personalization (UMAP), 2015. PDF
  29. Temporality in Online Food Recipe Consumption and Production. Kusmierczyk, T., Trattner, C. and Norvag, K. In Proceedings of the International Conference on World Wide Web Companion (WWW) Companion, 2015.  PDF
  30. VizRec: A Two-Stage Recommender System for Personalized Visualizations. Mutlu, B., Veas, E., Trattner, C. and Sabol, V. In Proceedings of the ACM International Conference on Intelligent User Interfaces (IUI) Companion, 2015.  PDF
  31. Refining Frequency-Based Tag Reuse Predictions by Means of Time and Semantic Context. Kowald, D., Kopeinik, S., Seitlinger, P., Ley, T., Albert, D. and Trattner, C. Lecture Notes in Artificial Intelligence 8940, 2015.  PDF
  32. Utilizing Online Social Network and Location-Based Data to Recommend Items in an Online Marketplace. Lacic, E., Kowald, D., Eberhard, L., Trattner, C., Parra, D. and Marinho, L. Lecture Notes in Artificial Intelligence 8940, 2015.  PDF
  33. Forgetting the Words but Remembering the Meaning: Modeling Forgetting in a Verbal and Semantic Tag Recommender. Kowald, D., Seitlinger, P., Trattner, C. and Ley, T. Lecture Notes in Artificial Intelligence 8940, 2015.  PDF
  34. Report on the SIGIR 2015 Workshop on Social Personalization and Search. Trattner, C., Parra, D., Brusilovsky, P. and Marinho, L. SIGIR Forum, Volume 49, Issue 2, 102-106, 2015.  PDF
  35. TagRec: Towards a Toolkit for Reproducible Evaluation and Development of Tag-Based Recommender Algorithms. Trattner, C., Kowald, D. and Lacic, E. ACM SIGWEB Newsletter, 2015.  PDF
  36. Temporal Patterns in Online Food Innovation. Kusmierczyk, T., Trattner, C and Norvag, K. In Proceedings of the International Conference on World Wide Web Companion (WWW), 2015.  PDF
  37. Tag Clouds. Trattner, C., Helic, D., Strohmaier, M. Encyclopedia of Social Network Analysis and Mining, 2014.  PDF
  38. Scaling informal learning at the workplace: a model and four designs from a large-scale design-based research effort. Ley, T., Cook, J., Dennerlein, S., Kravcik, M., Kunzmann, C., Pata, K., Purma, J., Sandars, J., Santos, P., Schmidt, A., Al-Smadi, M. and Trattner, C. British Journal of Educational Technology (BJET), Volume 45, Issue 6, 2014.  PDF
  39. Making sense of bits and pieces: A sensemaking tool for informal workplace learning. Dennerlein, S., Rella, M., Tomberg, V., Theiler, D., Treasure-Jones, T., Kerr, M., Ley, T., Al-Smadi, M., and Trattner, C. In Proceedings of the European Conference on Technology Enhanced Learning (EC-TEL), 2014.  PDF
  40. Twitter in Academic Conferences: Usage, Networking and Participation over Time. Wen, X., Lin, Y., Trattner, C. and Parra, D. In Proceedings of the ACM Conference on Hypertext and Social Media (Hypertext), 2014.  PDF
  41. TagRec: Towards A Standardized Tag Recommender Benchmarking Framework. Kowald, D., Lacic, E., Trattner, C. In Proceedings of the ACM Conference on Hypertext and Social Media (Hypertext), 2014. Best Poster Award  PDF
  42. SocRecM: A Scalable Social Recommender Engine for Online Marketplaces. Lacic, E., Kowald, D., Trattner, C. In Proceedings of the ACM Conference on Hypertext and Social Media (Hypertext), 2014.  PDF
  43. Who will Trade with Whom? Predicting Buyer-Seller Interactions in Online Trading Platforms through Social Networks. Trattner, C., Parra, D., Eberhard, L. and Wen, X. In Proceedings of the World Wide Web Conference (WWW) Companion, 2014.  PDF
  44. How groups of people interact with each other on Twitter during academic conferences. Wen,X., Parra, D. and Trattner, C. In Proceedings of the ACM Conference on Computer Supported Cooperative Work (CSCW) Companion, 2014.  PDF
  45. Long Time No See: The Probability of Reusing Tags as a Function of Frequency and Recency. Kowald, D., Seitlinger, P., Trattner, C. and Ley, T. In Proceedings of the World Wide Web Conference (WWW) Companion, 2014. Among the Best Papers  PDF
  46. User Controllability in an Hybrid Talk Recommender System. Parra, D., Brusilovsky, P. and Trattner, C. In Proceedings of the ACM 2014 International Conference on Intelligent User Interfaces (IUI), 2014.  PDF
  47. Recommending Items in Social Tagging Systems Using Tag and Time Information. Lacic, E., Kowald, D., Seitlinger, P., Trattner, C. and Parra, D. In Proceedings of the International Workshop on Social Personalisation co-located with the ACM Conference on Hypertext and Social Media (Hypertext), 2014.  PDF
  48. Towards a Scalable Social Recommender Engine for Online Marketplaces: The Case of Apache Solr. Lacic, E., Kowald, D., Parra, D., Kahr, M. and Trattner, C. In Proceedings of the World Wide Web Conference companion (WWW), 2014.  PDF
  49. The 24th ACM Conference on Hypertext and Social Media (HT2013): A Personal Review. Trattner, C. ACM SIGWEB Newsletter, 2013.  PDF
  50. Social Stream Marketing on Facebook: A Case Study. Trattner, C., Kappe, F. International Journal of Social and Humanistic Computing, Volume 2, Issue 1, 2013.  PDF
  51. Who will Interact with Whom? A Case-Study in Second Life using Online and Location-based Social Network Features to Predict Interactions between Users. Steurer, M. and Trattner, C. Lecture Notes in Artificial Intelligence, 2013.  PDF
  52. Recommending Tags with a Model of Human Categorization. Seitinger, P., Kowald, D., Trattner, C. and Ley, T. In Proceedings of the ACM International Conference on Information and Knowledge Management (CIKM), 2013.  PDF
  53. Acquaintance or Partner? Predicting Partnership in Online and Location-based Social Networks. Steurer, M. and Trattner, C. In Proceedings of the IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM), 2013. Among the Best Papers  PDF
  54. Predicting Social Interactions from Different Sources of Location-based Knowledge. Steurer, M., Trattner, C. and Helic, D. In Proceedings of the International Conference on Social Eco-Informatics (SOTICS), 2013. Best Paper Award  PDF
  55. Head Start: Improving Academic Literature Search with Overview Visualizations based on Readership Statistics. Kraker, P., Jack, K., Schloegl, C., Trattner, C. and Lindstaedt, S. In Proceedings of the ACM Web Science Conference (WebSci), 2013. Best Poster Award  PDF
  56. The Social Semantic Server - A Framework to Provide Services on Social Semantic Network Data. Kowald, M., Dennerlein, S., Dieter, T., Walk, S. and Trattner, C. In Proceedings of the I-Semantics Conference, 2013.  PDF
  57. Predicting Interactions In Online Social Networks: An Experiment in Second Life.Steurer, M. and Trattner, C. In Proceedings of the International Workshop on Modeling Social Media co-located with the ACM Conference on Hypertext and Social Media (Hypertext), 2013.  PDF
  58. Exploring the Differences and Similarities of Hierarchical Decentralized Search and Human Navigation in Information-networks. Trattner, C., Singer, P., Helic, D. and Strohmaier, M. In Proceedings of the International Conference on Knowledge Management and Knowledge Technologies (I-Know), 2012. Best Paper Award  PDF
  59. Evaluating Tag-Based Information Access in Image Collections. Trattner, C., Lin, Y., Parra, D., Yue, Z., Brusilovsky, P. In Proceedings of the ACM Conference on Hypertext and Social Media (Hypertext), 2012. Best Paper Nomination  PDF
  60. Navigational efficiency of broad vs. narrow folksonomies. Helic, D., Körner, C., Granitzer, M., Strohmaier, M., Trattner, C. In Proceedings of the ACM Conference on Hypertext and Social Media (Hypertext), 2012.  PDF
  61. Success Factors of Events in Virtual Worlds: A Case Study in Second Life. Steurer, M., Trattner, C. and Kappe, F. In Proceedings of the International Annual Workshop on Network and Systems Support for Games, 2012.  PDF
  62. Improving the Navigability of Tagging Systems with Hierarchically Constructed Resource Lists and Tag Trails. Trattner, C. Journal of Computing and Information Technology, Volume 19, Issue 3, 2011.  PDF
  63. On the Construction of Efficiently Navigable Tag Clouds Using Knowledge From Structured Web Content. Trattner, C., Helic, D. and Strohmaier, M. Journal of Universal Computer Science, Volume 17, Issue 4, 2011.  PDF
  64. Linking Related Content in Web Encyclopedias with search query tag clouds. Trattner, C. International Journal on WWW/Internet, Volume 9, Issue 2, 2011.  PDF
  65. Are Tag Clouds Useful for Navigation? A Network-Theoretic Analysis. Helic, D., Trattner, C., Strohmaier, M. and Andrews, K. Journal of Social Computing and Cyber-Physical Systems, Volume 1, Issue 1, 2011.  PDF
  66. Pragmatic Evaluation of Folksonomies. Helic, D., Strohmaier, M., Trattner, C., Muhr M. and Lermann, K. In Proceedings of the International conference on World Wide Web (WWW), 2011.  PDF
  67. Improving the Navigability of Tagging Systems with Hierarchically Constructed Resource Lists: A Comparative Study. Trattner, C. In Proceedings of the International Conference on Information Technology Interfaces (ITI), 2011. Young Scholar Best Paper Award  PDF
  68. Enhancing the Navigability of Social Tagging Systems with Tag Taxonomies. Trattner, C., Körner, C., Helic, D. In Proceedings of the International Conference on Knowledge Management and Knowledge Technologies (I-Know), 2011.  PDF
  69. Social Media Marketing with Facebook: A Case Study. Trattner, C., Kappe, F. In Proceedings of the International Conference on WWW/Internet, 2011.
  70. NAVTAG - A Network-Theoretic Framework to Assess and Improve the Navigability of Tagging Systems. Trattner, C. In proceedings of the International Conference on Web Engineering (ICWE), 2011.  PDF
  71. QUERYCLOUD: Automatically Linking Related Documents Via Search Query (Tag) Clouds. Trattner, C. In Proceedings of the International Conference WWW/Internet, 2010.
  72. On the Navigability of Social Tagging Systems. Helic, D., Trattner, C., Strohmaier, M., Andrews, K. In Proceedings of the IEEE International Conference on Social Computing (SocialCom), 2010. Best Paper Nomination  PDF
  73. Improving Navigability of Hierarchically-Structured Encyclopedias through Effective Tag Cloud Construction. Trattner, C., Helic, D., Strohmaier, M. In Proceedings of the International Conference on Knowledge Management and Knowledge Technologies (I-Know), 2010.
  74. Enriching Tagging Systems with Google Query Tags. Trattner, C., Helic, D., Maglajlic, S. In Proceedings of the International Conference on Information Technology Interfaces (ITI), 2010.  PDF
  75. Socializing Virtual Worlds with Facebook - A prototypical implementation of an expansion pack to communicate between Facebook and OpenSimulator based Virtual Worlds. Trattner, C., Steurer, M., Kappe, F. In Proceedings of the Academic MindTrek Conference (MindTrek), 2010.  PDF
  76. The Austrian way of Wiki(pedia)! - Development of a Structured Wiki-based Encyclopedia within a Local Austrian Context. Trattner, C., Hasani, I., Helic, D., Leitner, H. In Proceedings of the International Symposium on Wikis and Open Collaboration (Wikisym), 2010.  PDF
  77. Click, Click --- and an educational presentation is available on the Web. Trattner, C., Helic, D., Korica-Pehserl, P., Maurer, H. In Proceedings of the World Conference on Educational Multimedia, Hypermedia and Telecommunications (ED-Media), 2010.  PDF
  78. Using Wiki for Rapid Authoring of Huge Numbers of E-Assessments. Hasani, I., Portsch C., Trattner, C., Kacjan, B., Helic, D., Maurer, H. In Proceedings of the World Conference on Educational Multimedia, Hypermedia and Telecommunications (ED-Media), 2010.  PDF
  79. Social Networks and eLearning: New Model for Learning at Workplace. Maglajlic, S., Helic, D., Trattner, C. In Proceedings of the International Conference on Information Technology Interfaces (ITI), 2010.  PDF
  80. Linking Related Documents: Combining Tag Clouds and Search Queries. Trattner, C., Helic, D. In Proceedings of the 10th International Conference on Web Engineering, Springer (ICWE), 2010.  PDF
  81. Extending the Basic Tagging Model: Context Aware Tagging. Trattner, C., Helic, D. In Proceedings of the International Conference WWW/Internet, 2009.  PDF
  82. Creating Dynamic Wiki Pages with Section-Tagging.Helic, D., Us Saeed, A., Trattner, C. In Proceedings of the International Workshop on New Forms of Xanalogical Storage and Function co-located with the ACM Conference on Hypertext and Social Media (Hypertext), 2009.  PDF

Dr. Christoph Trattner is currently working as an Associate Professor (permanent position) at the University of Bergen in the Information Science Department. Previously to that (2017-2018) he was an Asst. Prof. at MODUL University Vienna in the New Media Technology Department and (2013-2016) an area manager at the Know-Center, Austria's research competence for data driven business and BigData analytics where he founded and lead the Social Computing area. He holds a PhD (with distinction), a MSc (with distinction) and a BSc in Computer Science and Telematics from Graz University of Technology (Austria). He is a former FFG, Marshall Plan and ERCIM fellow and has been working at Graz University of Technology from 2009-2012 (supervised by Prof. Dr. Denis Helic & Prof. Dr. Hermann Maurer), the University of Pittsburgh from 2011-2012 (under the supervision of Prof. Dr. Peter Brusilovsky), the Norwegian University of Science and Technology from 2014-2015 (hosted by Prof. Dr. Kjetil Norvag), and has been visiting Yahoo! Labs Barcelona in 2014 and CWI Amsterdam in 2015 (hosted by Prof. Dr. Arjen De Vries). Christoph's research interests include Information Science, Data Science, User Modeling and Recommender Systems. He was involved, either as a collaborator or a project leader, in various national and international EU-funded research projects that dealt with social technologies and recommender systems. Currently, he is driving a research project that tries to understand, predict and change online food preferences to tackle health-related food issues such as diabetes or obese. Since 2010, he published two books and over 80 scientific articles in top venues and journals, e.g., Wiley JASIST, ACM TiiS, Elsevier ComCom, WWW, ACM WebSci, ACM CIKM, ACM CSCW, ACM RecSys, ACM IUI, ACM HT and ACM UMAP. He is also the winner of several Best Paper/Poster Awards and Nominations, including e.g. the Best Paper Award Honorable Mention at WWW'17. He regularly acts as a PC member on several top-tier conferences and co-organizes or co-chaires a number of workshops and conferences. Recent examples include WWW'18 or ACM RecSys'18.

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