Hjem
  • E-postChristoph.Trattner@uib.no
  • Telefon+47 453 96 180
  • Besøksadresse
    Fosswinckelsgt. 6
    5007 Bergen
    Rom 
    611
  • Postadresse
    Postboks 7802
    5020 Bergen

Dr. Christoph Trattner is working as an Associate Professor (permanent position) at the University of Bergen in the Information Science & Media Studies Department. Previously to that he was an Asst. Prof. at MODUL University Vienna in the New Media Technology Department and a manager at the Know-Center, Austria's research competence for data driven business and Big Data analytics where he founded and led the Social Computing department. He holds a PhD (with distinction), an 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 (hosted by 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 project or WP leader, in various national and international EU-funded research projects that dealt with social technologies and recommender systems. Currently, he is leading an several international research effort that tries to understand, predict and change preferences of online users. Since 2010, he published two books and over 100 scientific articles in top venues and journals, e.g., NATURE Sustainability, JASIST, UMUAI, TiiS, ComCom, EPJ Data Science, WWW, ICWSM, ACM SIGIR, 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 - CORE A* ranked - conferences and co-organizes or co-chairs a number of workshops and conferences. Recent examples include ACM IUI’19, ACM UMAP’19 and ACM RecSys’19. He has also taught a series of courses at all levels (BSc, MSc, MBA, PhD), e.g., Information Systems, Recommender Systems or Web Science at the University of Bergen, Graz University of Technology and MODUL University Vienna and has managed and supervised a number of Post-Docs, PhD fellows, Master and Bachelor students.

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 worked 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 at BSc, MSc and MBA levels. Before coming to Module I was at  Graz University of Technology , where I taught, co-taught and assisted in 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!

Tidsskriftartikler
  • 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.
  • Lin, Yi-Ling; Parra, Denis; Trattner, Christoph; Brusilovsky, Peter. 2019. Tag-based information access in image collections: insights from log and eye-gaze analyses. Knowledge and Information Systems. doi: 10.1007/s10115-019-01343-4
  • Trattner, Christoph; Elsweiler, David. 2019. An evaluation of recommendation algorithms for online recipe portals. CEUR Workshop Proceedings. 2439: 24-28.
  • Trattner, Christoph; Elsweiler, David. 2019. What online data say about eating habits. Nature Sustainability. 2: 545-546. doi: 10.1038/s41893-019-0329-8
  • 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
Bokkapitler
  • Atzmueller, Martin; Chin, Alvin; Trattner, Christoph. 2018. International Workshop on Modeling Social Media (MSM 2018) Chairs' Welcome & Organization. MSM Workshop. I:
    • 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 sider. ISBN: 978-1-4503-5639-8.
  • Trattner, Christoph; Murdock, Vanessa; Chang, Steven. 2018. ACM recsys'18 late-breaking results (posters). Poster Session. I:
    • 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 sider. 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. I:
    • AAAI, Press. 2018. Proceedings of the Twelfth International Conference on Web and Social Media. AAAI Press. 754 sider. ISBN: 978-1-57735-798-8.
  • Trattner, Christoph; Said, Alan; Boratto, Ludovico; Felfernig, Alexander. 2018. Evaluating Group Recommender Systems. 3. I:
    • Felfernig, Alexander. 2018. Group Recommender Systems. Springer. 173 sider. ISBN: 978-3-319-75066-8.

Se fullstendig oversikt over publikasjoner i CRIStin.

Books as Editor

  1. Big Data Analytics in the Social and Ubiquitous Context. Atzmueller, M., Chin, A., Janssen, F., Schweizer, I. and Trattner, C. (Eds.). Lecture Notes in Artificial Intelligence, Springer, 2016.   PDF
  2. Mining, Modeling, and Recommendation in Ubiquitous Social Media. Atzmueller, M., Chin, A. and Trattner, C. (Eds.). Lecture Notes in Artificial Intelligence, Springer, 2015.   PDF

International Conference Proceedings & Workshops as Editor

  1. Proceedings of the 10th International Workshop on Modeling Social Media (MSM'19) at the 28th ACM World Wide Web (WWW'19) Conference. Atzmueller, M., Chin, A., Trattner, C. (Eds.). ACM, 2019.
  2. Proceedings of the International Workshop on Health Recommender Systems at the ACM RecSys'19 Conference. Elsweiler, D., Ludwig, B., Said, A., Schaefer, H. and Trattner, C. (Eds.). CEUR-WS, 2019.  PDF
  3. Joint Proceedings of the ACM IUI 2019 Workshops. Trattner, C., Parra, D. and Riche, N. (Eds.). CEUR-WS, 2019.  PDF
  4. Proceedings of the International Workshop on Health Recommender Systems at the ACM RecSys'18 Conference. Elsweiler, D., Ludwig, B., Said, A., Schaefer, H. and Trattner, C. (Eds.). CEUR-WS, 2018.  PDF
  5. Proceedings of the Posters and Late-Breaking Results at the ACM RecSys'18 Conference. Trattner, C., Murdock, V., and Chang, S. (Eds.). ACM, 2018.  PDF
  6. Proceedings of the 9th International Workshop on Modeling Social Media (MSM'18) at the 27th ACM World Wide Web (WWW'18) Conference. Atzmueller, M., Chin, A., Trattner, C. (Eds.). ACM, 2018.  PDF
  7. Proceedings of the 8th International Workshop on Modeling Social Media (MSM'17) at the 26th ACM World Wide Web (WWW'17) Conference. Atzmueller, M., Chin, A., Trattner, C., Li, J. and Berkovsky, S. (Eds.). ACM, 2017.  PDF
  8. Proceedings of the International Workshop on Health Recommender Systems at the ACM RecSys'17 Conference. Elsweiler, D., Ludwig, B., Said, A., Schaefer, H. and Trattner, C. (Eds.). CEUR-WS, 2017.  PDF
  9. Proceedings of the 7th International Workshop on Modeling Social Media (MSM'16) at the 25th ACM World Wide Web (WWW'16) Conference. Atzmueller, M., Chin, A. and Trattner, C. (Eds.). ACM, 2016.  PDF
  10. Proceedings of the Workshop Engendering Health with Recommender Systems at the ACM RecSys'16 Conference. Elsweiler, D., Ludwig, B., Said, A., Schaefer, H. Trattner, C. ACM, 2016.  PDF
  11. Proceedings of the International Workshop on Social Personalization and Search (SPS'15) at the ACM SIGIR 2015 Conference. Trattner, C., Parra, D., Brusilovsky, P. and Marinho, L. (Eds.). CEUR-WS, 2015.  PDF
  12. Proceedings of the 6th International Workshop on Modeling Social Media (MSM'15) at the 24th ACM World Wide Web (WWW'15) Conference. Atzmueller, M., Chin, A. and Trattner, C. (Eds.). ACM, 2015.  PDF
  13. Hypertext 2014 Extended Proceedings: Late-breaking Results, Doctoral Consortium and Workshop Proceedings of the 25th ACM Hypertext and Social Media (HT'14) conference. Cena, F., da Silva, A. and Trattner, C. (Eds.). CEUR-WS, 2014.  PDF
  14. Proceedings of the 1st International Workshop on Social Personalization at the 25th ACM Hypertext and Social Media (HT'14) Conference. Brusilovsky, P., Marinho, L., Parra, D., Scheihing, E. and Trattner, C. (Eds.). CEUR-WS, 2014.  PDF
  15. Proceedings of the 5th International Workshop on Modeling Social Media (MSM'14) at the 23rd ACM World Wide Web (WWW'14) Conference. Atzmueller, M., Chin, A. and Trattner, C. (Eds.). ACM. 2014.  PDF
  16. Proceedings of the 1st International Workshop on UMAP Project Synergy at the 22nd Conference on User Modeling, Adaptation and Personalization (UMAP'14). Dhakar, D., Brdiczka, O. and Trattner, C. (Eds.). CEUR-WS, 2014.  PDF
  17. Proceedings of the 4th International Workshop on Modeling Social Media at the 25th ACM Hypertext (HT'13) Conference. Atzmueller, M., Chin, A. and Trattner, C. (Eds.). ACM, 2013.  PDF

International Journal Articles (peer-reviewed)

  1. 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
  2. What online data say about eating habits. Trattner, C. and Elsweiler, D. NATURE Sustainability, 2019.  PDF
  3. Investigating and Predicting Online Food Recipe Upload Behavior. Trattner, C., Kusmierczyk, T. and Norvag, K. Information Processing and Management. 2019. [Thomson Reuters IF: 3.444]  PDF
  4. The Roadmap to User-Controllable Social Exploratory Search. di Sciascio, C., Brusilovsky, P., Trattner, C. and Veas, E. ACM Transactions on Interactive Intelligent Systems. 2019. [Scopus SJR: 0.69 - Q1 in Human Computer Interaction]  PDF
  5. Tag-Based Information Access in Image Collections: Insights from Log and Eye-Gaze Analyses. Lin, Y., Parra, D., Trattner, C. and Brusilovsky, P. Knowledge and Information Systems. 2019. [Thomson Reuters IF: 2.247]  PDF
  6. 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. [Thomson Reuters IF: 2.808]  PDF
  7. 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. [Thomson Reuters IF: 1.488]  PDF
  8. On the Predictability of the Popularity of Online Recipes. Trattner, C., Moesslang, D. and Elsweiler, D. EPJ Data Science, 2018. [Thomson Reuters IF: 2.982]  PDF
  9. 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. [Scopus SJR: 0.54 - Q1 Computer Science]  PDF
  10. 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. [Thomson Reuters IF: 2.766]  PDF
  11. Estimating the Healthiness of Internet Recipes: A Cross-Sectional Study. Trattner, C. Elsweiler, D. and Simon, H. Frontiers in Public Health, 2017. [Thomson Reuters IF: 2.031, Scopus SJR: 0.77 - Q2 in Public Health]  PDF
  12. VizRec: Recommending Personalized Visualizations. Mutlu, B., Veas, E. and Trattner, C. ACM Transactions on Interactive Intelligent Systems (TiiS), Volume 6, Issue 4, 2016. [Scopus SJR: 0.69 - Q1 in HCI]  PDF
  13. 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
  14. Twitter in Academic Events: A Study of Temporal Usage, Communication, Sentimental and Topical Patterns in 16 Computer Science Conferences. Parra, D., Trattner, C., Gómez, D., Hurtado, M., Wen, X., & Lin, Y. R. Computer Communications Journal (COMCOM), Volume 73, Part B, 2016. [Thomson Reuters IF: 2.613]  PDF
  15. 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. [Thomson Reuters IF: 2.835]  PDF
  16. 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. [Scopus SJR: 0.33 - Q1 in Media Technology]  PDF
  17. 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. [Thomson Reuters IF: 2.729]  PDF
  18. 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
  19. 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
  20. 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. [Thomson Reuters IF: 1.066]  PDF
  21. Linking Related Content in Web Encyclopedias with search query tag clouds. Trattner, C. International Journal on WWW/Internet, Volume 9, Issue 2, 2011.  PDF
  22. 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

Book Chapters (peer-reviewed)

  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. Tag Clouds v2. Trattner, C., Helic, D., Strohmaier, M. Encyclopedia of Social Network Analysis and Mining, 2018.  PDF
  4. 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
  5. 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
  6. 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
  7. Tag Clouds. Trattner, C., Helic, D., Strohmaier, M. Encyclopedia of Social Network Analysis and Mining, 2014.  PDF
  8. 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

International Conference Papers (peer-reviewed)

  1. Identifying Cross-Cultural Visual Food Tastes with Online Recipe Platforms. Zhang, Q., Trattner, C., Elsweiler, D. and Ludwig, B. In Proceedings of the 11th International AAAI conference on Web and Social Media (ICWSM), 2019. [acceptance rate: 19%]  PDF
  2. Exploring the Power of Visual Features for Recommendation of Movies. Rimaz H., M., Elahi, M., Moghadam B., F., Trattner, C., Hosseini, R. and Tkalčič, M. In Proceedings of the ACM Conference on User Modeling and Personalisation (UMAP), 2019. [acceptance rate: 24%]  PDF
  3. 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. [acceptance rate: 16%]  PDF
  4. 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. [acceptance rate: 14%]  PDF
  5. 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. [acceptance rate: 27%]  PDF
  6. 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. [acceptance rate: 22%]  PDF
  7. 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
  8. 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. [acceptance rate: 28%]  PDF
  9. 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. [acceptance rate: 17%] Best Paper Award Honorable Mention  PDF
  10. 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. [acceptance rate: 24%]  PDF
  11. 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. [acceptance rate: 30%]  PDF
  12. 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
  13. 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. [acceptance rate: 21%]  PDF
  14. 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
  15. 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. [acceptance rate: 21%]  PDF
  16. 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
  17. 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. (Poster) PDF
  18. 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
  19. 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
  20. 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. (Poster) Best Poster Award  PDF
  21. 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. (Poster)  PDF
  22. 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. (Poster)  PDF
  23. 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
  24. 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
  25. 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
  26. 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
  27. 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. [acceptance rate: 17%]  PDF
  28. 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. [acceptance rate: 13%] Among the Best Papers  PDF
  29. 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
  30. 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. (Poster) Best Poster Award  PDF
  31. 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
  32. 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
  33. 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. [acceptance rate: 28%] Best Paper Nomination  PDF
  34. 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. [acceptance rate: 28%]  PDF
  35. 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. [acceptance rate: 12%]  PDF
  36. 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
  37. 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
  38. Social Media Marketing with Facebook: A Case Study. Trattner, C., Kappe, F. In Proceedings of the International Conference on WWW/Internet, 2011.
  39. 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. (Poster)  PDF
  40. QUERYCLOUD: Automatically Linking Related Documents Via Search Query (Tag) Clouds. Trattner, C. In Proceedings of the International Conference WWW/Internet, 2010.
  41. 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. [acceptance rate: 13%] Best Paper Nomination  PDF
  42. 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.
  43. 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
  44. 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
  45. 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
  46. 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
  47. 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
  48. 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
  49. 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
  50. Extending the Basic Tagging Model: Context Aware Tagging. Trattner, C., Helic, D. In Proceedings of the International Conference WWW/Internet, 2009.  PDF

International Workshop Papers (peer-reviewed)

  1. An Evaluation of Recommendation Algorithms for Online Recipe Portals. Trattner, C. and Elsweiler, D. In Proceedings of the HealthRecSys workshop co-located with ACM RecSys, 2019.  PDF
  2. Predicting Movie Popularity and Ratings with Visual Features. Moghaddam, F. B., Elahi, M., Hosseini, R., Trattner, C. and Tkalcic, M. In Proceedings of the SMAP workshop co-located with ACM UMAP. 2019.  PDF
  3. Healthy Menus Recommendation: Optimizing the Use of the Pantry. Emanuel, J., Oliveira, R., Marinho, L. and Trattner, C. In Proceedings of the HealthRecSys workshop co-located with ACM RecSys, 2018.  PDF
  4. Towards Explanations for Visual Recommender Systems of Artistic Images. Dominguez, V., Messina, P., Trattner, C. and Parra, D. In Proceedings of the INTRS workshop co-located with ACM RecSys, 2018.  PDF
  5. 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
  6. 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
  7. 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
  8. Recommending Sellers to Buyers in Virtual Marketplaces Leveraging Social Information. Eberhard, L. and Trattner, C. In Proceedings of the International Workshop on Modeling Social Media (MSM'16) held at ACM World Wide Web Conference (WWW'16), 2016.  PDF
  9. Temporal Patterns in Online Food Innovation. Kusmierczyk, T., Trattner, C and Norvag, K. In Proceedings of the 5th Temporal Web Analytics Workshop (TempWeb'15) held at the ACM World Wide Web Conference (WWW'15), 2015.  PDF
  10. 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
  11. 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 5th Social Recommender Workshop (SRS'14) held at the ACM Word Wide Web Conference (WWW'14) companion, 2014.  PDF
  12. 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
  13. Success Factors of Events in Virtual Worlds: A Case Study in Second Life. Steurer, M., Trattner, C. and Kappe, F. Success Factors of Events in Virtual Worlds A Case Study in Second Life. In Proceedings of the 11th Annual Workshop on Network and Systems Support for Games (NetGames'12), 2012.  PDF
  14. 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

National Symposia/Conferences/Workshops (peer-reviewed)

  1. Towards a Big Data Platform for News Angles. Ocana, M., Opdahl, A., Nyre, L., Tessem, B., Trattner, C. and Veres, C. In Proceedings of Norwegian Big Data Symposium (NOBIDS). 2018.

Newsletters

  1. FOODWEB – Studying Food Consumption and Production Patterns on the Web.Trattner, C., Kusmierczyk, T., Norvag, K. ERCIM NEWS (104), 2016.  PDF
  2. 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
  3. 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
  4. The 24th ACM Conference on Hypertext and Social Media (HT2013): A Personal Review. Trattner, C. ACM SIGWEB Newsletter, 2013.  PDF

PhD & MSc Thesis

  1. On the Navigability of Social Tagging Systems. Trattner, C. PhD Thesis, Graz University of Technology, Graz, Austria, 2012. [defended with honors]
  2. From Austria-Forum to the Wiki Concept. Trattner, C. MSc Thesis, Graz University of Technology, Graz, Austria, 2009. [defended with honors]

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