Emanuel Lacić is a Software Engineer and Scientific Researcher in the Social Computing division at the Know-Center. Additionally, he is a PHD student at the Knowledge Technologies Institute of Graz University of Technology. He has a M.Sc. and B.Sc. in Software Engineering and Information Systems from the Faculty of Electrical Engineering and Computing at the University of Zagreb. He is currently doing his PhD at Graz University of Technology in the course of the European-funded project Learning Layers on real-time recommender systems in large-scale settings. Apart from that, his research is utilized in several industry and European-funded projects such as AFEL or MoreGrasp. His main research interests are in the fields of Recommender Systems, Deep Learning, Information Retrieval, Big Data, as well as Social and Complex Network Analysis.

Selected publications

  • Lacic, E. Real-Time Recommendations in a Multi-Domain Environment. ( .pdf )
    In Extended Proceedings of the 27th ACM Conference on Hypertext and Social Media (HT'2016)
  • Lacic, E., Traub, M., Kowald, D., & Lex, E. ScaR: Towards a Real-Time Recommender Framework Following the Microservices Architecture. ( .pdf )
    In Workshop on Large Scale Recommender Systems (LSRS'2015) co-located with the 9th ACM Conference on Recommender Systems (RecSys'2015)
  • Lacic, E., Kowald, D., Traub, M., Luzhnica, G., Simon, J., & Lex, E. Tackling Cold-Start Users in Recommender Systems with Indoor Positioning Systems. ( .pdf )
    In Proceedings of the 9th ACM Conference on Recommender Systems (RecSys'2015). CEUR-WS
  • Lacic, E., Kowald, D., Eberhard, L., Trattner, C., Parra, D., & Marinho, L. B. Utilizing online social network and location-based data to recommend products and categories in online marketplaces. ( .pdf )
    In Mining, Modeling, and Recommending'Things' in Social Media (pp. 96-115). Springer International Publishing. 2015

Publications

  • Lacic, E. Real-Time Recommendations in a Multi-Domain Environment. ( .pdf )
    ACM SIGWEB Newsletter, (Autumn 2017), 4.
  • Reiter-Haas, M., Slawicek, V. & Lacic, E. Studo Jobs: Enriching Data With Predicted Job Labels. ( .pdf )
    In Workshop on Recommender Systems and Social Network Analysis (RS-SNA'2017) co-located with i-KNOW'2017
  • Lacic, E., Kowald, D. & Lex, E. Tailoring Recommendations for a Multi-Domain Environment. ( .pdf )
    In Workshop on Intelligent Recommender Systems by Knowledge Transfer & Learning (RecSysKTL'2017) co-located with the 11th ACM Conference on Recommender Systems (RecSys'2017)
  • Traub, M., Lacic, E., Kowald, D., Kahr, M., & Lex, E. Need Help? Recommending Social Care Institutions. ( .pdf )
    In Workshop on Recommender Systems and Big Data Analytics (RSBDA'2016) co-located with i-KNOW'2016
  • Lacic, E. Real-Time Recommendations in a Multi-Domain Environment. ( .pdf )
    In Extended Proceedings of the 27th ACM Conference on Hypertext and Social Media (HT'2016)
  • Lacic, E., Kowald, D., & Lex, E. High Enough?: Explaining and Predicting Traveler Satisfaction Using Airline Reviews. ( .pdf )
    In Proceedings of the 27th ACM Conference on Hypertext and Social Media (HT'2016), pp. 249-254. ACM.
  • Traub, M., Kowald, D., Lacic, E., Schoen, P., Supp, G., & Lex, E. Smart booking without looking: providing hotel recommendations in the TripRebel portal. ,p. 50. ACM. (best demo honourable mention) ( .pdf )
    In Proceedings of the 15th International Conference on Knowledge Technologies and Data-driven Business (i-KNOW'2015)
  • Dennerlein, S., Kowald, D., Lex, E., Theiler, D., Lacic, E., & Ley, T. The social semantic server: a flexible framework to support informal learning at the workplace. ( .pdf )
    In Proceedings of the 15th International Conference on Knowledge Technologies and Data-driven Business (i-KNOW'2015) ,p. 26. ACM.
  • Lacic, E., Traub, M., Kowald, D., & Lex, E. ScaR: Towards a Real-Time Recommender Framework Following the Microservices Architecture. ( .pdf )
    In Workshop on Large Scale Recommender Systems (LSRS'2015) co-located with the 9th ACM Conference on Recommender Systems (RecSys'2015)
  • Lacic, E., Kowald, D., Traub, M., Luzhnica, G., Simon, J., & Lex, E. Tackling Cold-Start Users in Recommender Systems with Indoor Positioning Systems. ( .pdf )
    In Proceedings of the 9th ACM Conference on Recommender Systems (RecSys'2015). CEUR-WS
  • Trattner, C., Kowald, D., & Lacic, E. TagRec: towards a toolkit for reproducible evaluation and development of tag-based recommender algorithms. ( .pdf )
    ACM SIGWEB Newsletter, (Winter 2015), 3.
  • Lacic, E., Kowald, D., Eberhard, L., Trattner, C., Parra, D., & Marinho, L. B. Utilizing online social network and location-based data to recommend products and categories in online marketplaces. ( .pdf )
    In Mining, Modeling, and Recommending'Things' in Social Media (pp. 96-115). Springer International Publishing. 2015
  • Lacic, E., Kowald, D., Seitlinger, P., Trattner, C., & Parra, D. (2014, September). Recommending items in social tagging systems using tag and time information. ( .pdf )
    In Proceedings of the 1st International Workshop on Social Personalisation (SP'2014) co-located with the 25th ACM Conference on Hypertext and Social Media (HT'2014). CEUR-WS
  • Lacic, E., Kowald, D., & Trattner, C. (2014, September). Socrecm: A scalable social recommender engine for online marketplaces. ( .pdf )
    In Proceedings of the 25th ACM conference on Hypertext and social media (pp. 308-310). ACM.
  • Kowald, D., Lacic, E., & Trattner, C. (2014, September). Tagrec: Towards a standardized tag recommender benchmarking framework. ( .pdf )
    In Proceedings of the 25th ACM conference on Hypertext and social media (pp. 305-307). ACM. (best poster award)
  • Lacic, E., Kowald, D., Parra, D., Kahr, M., & Trattner, C. (2014, April). Towards a scalable social recommender engine for online marketplaces: The case of apache solr. ( .pdf )
    In Proceedings of the 23rd International Conference on World Wide Web (pp. 817-822). ACM.
  • Rivera-Pelayo, V., Lacic, E., Zacharias, V., & Studer, R. (2013, September). LIM App: Reflecting on Audience Feedback for Improving Presentation Skills. ( .pdf )
    In European Conference on Technology Enhanced Learning (pp. 514-519). Springer Berlin Heidelberg.

Organization and reviewing

  • RS-SNA'17: Organizer / Workshop Chair at the Workshop on Recommender Systems and Social Network Analysis co-located with i-KNOW 2017, Graz, Austria
  • OpenSym'17: Reviewer at the International Symposium on Open Collaboration (May 2017)
  • RSBDA'16: Organizer / Workshop Chair at the Workshop on Recommender Systems and Big Data Analytics co-located with i-KNOW 2016, Graz, Austria
  • i-KNOW'15: Session Chair at 15th International Conference on Knowledge Technologies and Data-driven Business
  • Wissensmanagement Forum: Member of the Executive Board (September 2014 - Present)
  • Journal of Computers: (Academy Publisher) Reviewer (November 2014)
  • EC-TEL'14: Reviewer at the 9th European Conference on Technology Enhanced Learning (May 2014)

Awards and fundings

  • Travel Grant for the 27th ACM Conference on Hypertext and Social Media (HT’2016) in Halifax, Canada.
  • Best Demo Honourable Mention at the 15th International Conference on Knowledge Technologies and Data-Driven Business (i-Know’2015) in Graz, Austria.
  • Best Poster Award at the 25th ACM Conference on Hypertext and Social Media (HT’2014) in Santiago, Chile.
  • Erasmus Scholarship for the final Master year (2012) at Karlsruhe Institute of Technology in Karlsruhe, Germany