Career Profile

Emanuel Lacić is a Senior Software Engineer and Scientific Researcher in the Social Computing division at the Know-Center, Austria's leading research center for data-driven business and Big Data analytics. Additionally, he is a PhD student at the Institute for Interactive Systems and Data Science (ISDS) of Graz University of Technology. He is a former Marshall Plan fellow and has been working as a visiting researcher at the Computer Science department of the University of California, Los Angeles (UCLA). 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

Beyond Accuracy Optimization: On the Value of Item Embeddings for Student Job Recommendation
Lacic, E., Kowald, D., Reiter-Haas, M., Slawicek & Lex, E.
In the International Workshop on Multi-dimensional Information Fusion for User Modeling and Personalization (IFUP'2018) co-located with the 11th ACM International Conference on Web Search and Data Mining (WSDM'2018)
Real-Time Recommendations in a Multi-Domain Environment
Lacic, E.
In Extended Proceedings of the 27th ACM Conference on Hypertext and Social Media (HT'2016)
Utilizing online social network and location-based data to recommend products and categories in online marketplaces
Lacic, E., Kowald, D., Eberhard, L., Trattner, C., Parra, D., & Marinho, L. B.
In Mining, Modeling, and Recommending'Things' in Social Media (pp. 96-115). Springer International Publishing. 2015
ScaR: Towards a Real-Time Recommender Framework Following the Microservices Architecture
Lacic, E., Traub, M., Kowald, D., & Lex, E.
In Workshop on Large Scale Recommender Systems (LSRS'2015) co-located with the 9th ACM Conference on Recommender Systems (RecSys'2015). 2015
Tackling Cold-Start Users in Recommender Systems with Indoor Positioning Systems
Lacic, E., Kowald, D., Traub, M., Luzhnica, G., Simon, J., & Lex, E.
In Proceedings of the 9th ACM Conference on Recommender Systems (CEUR-WS RecSys'2015).

Publications

Neighborhood Troubles: On the Value of User Pre-Filtering To Speed Up and Enhance Recommendations
Lacic, E., Kowald, D., & Lex, E.
In International Workshop on Entity Retrieval (EYRE'2018) Workshop co-located with Conference on Information and Knowledge Management (CIKM'2018) conference
AFEL-REC: A Recommender System for Providing Learning Resource Recommendations in Social Learning Environments
Kowald, D., Lacic, E., Theiler, D., & Lex, E.
In Social Interaction-Based Recommender Systems (SIR'2018) Workshop co-located with Conference on Information and Knowledge Management (CIKM'2018) conference
Trust-Based Collaborative Filtering: Tackling the Cold Start Problem Using Regular Equivalence
Duricic, T., Lacic, E., Kowald, D., & Lex, E.
In Proceedings of the 12th ACM Conference on Recommender Systems (RecSys'2018). ACM
Gone in 30 days! Predictions for car import planning
Lacic, E., Traub, M., Duricic, T., Haslauer, E. & Lex, E.
it - Information Technology, 60(4), pp. 219-228.
Beyond Accuracy Optimization: On the Value of Item Embeddings for Student Job Recommendation
Lacic, E., Kowald, D., Reiter-Haas, M., Slawicek & Lex, E.
In the International Workshop on Multi-dimensional Information Fusion for User Modeling and Personalization (IFUP'2018) co-located with the 11th ACM International Conference on Web Search and Data Mining (WSDM'2018)
Real-Time Recommendations in a Multi-Domain Environment
Lacic, E.
ACM SIGWEB Newsletter, (Autumn 2017), 4
Studo Jobs: Enriching Data With Predicted Job Labels
Reiter-Haas, M., Slawicek, V. & Lacic, E.
In Workshop on Recommender Systems and Social Network Analysis (RS-SNA'2017) co-located with i-KNOW'2017
Tailoring Recommendations for a Multi-Domain Environment
Lacic, E., Kowald, D. & Lex, E.
In Workshop on Intelligent Recommender Systems by Knowledge Transfer & Learning (RecSysKTL'2017) co-located with the 11th ACM Conference on Recommender Systems (RecSys'2017)
Need Help? Recommending Social Care Institutions
Traub, M., Lacic, E., Kowald, D., Kahr, M., & Lex, E.
In Workshop on Recommender Systems and Big Data Analytics (RSBDA'2016) co-located with i-KNOW'2016
Real-Time Recommendations in a Multi-Domain Environment
Lacic, E.
In Extended Proceedings of the 27th ACM Conference on Hypertext and Social Media (HT'2016)
High Enough?: Explaining and Predicting Traveler Satisfaction Using Airline Reviews
Lacic, E., Kowald, D., & Lex, E.
In Proceedings of the 27th ACM Conference on Hypertext and Social Media (HT'2016), pp. 249-254. ACM.
Smart booking without looking: providing hotel recommendations in the TripRebel portal
Traub, M., Kowald, D., Lacic, E., Schoen, P., Supp, G., & Lex, E.
In Proceedings of the 15th International Conference on Knowledge Technologies and Data-driven Business (i-KNOW'2015),p. 50. ACM. (best demo honourable mention)
The social semantic server: a flexible framework to support informal learning at the workplace
Dennerlein, S., Kowald, D., Lex, E., Theiler, D., Lacic, E., & Ley, T.
In Proceedings of the 15th International Conference on Knowledge Technologies and Data-driven Business (i-KNOW'2015),p. 26. ACM
ScaR: Towards a Real-Time Recommender Framework Following the Microservices Architecture
Lacic, E., Traub, M., Kowald, D., & Lex, E.
In Workshop on Large Scale Recommender Systems (LSRS'2015) co-located with the 9th ACM Conference on Recommender Systems (RecSys'2015). 2015
Tackling Cold-Start Users in Recommender Systems with Indoor Positioning Systems
Lacic, E., Kowald, D., Traub, M., Luzhnica, G., Simon, J., & Lex, E.
In Proceedings of the 9th ACM Conference on Recommender Systems (CEUR-WS RecSys'2015).
TagRec: towards a toolkit for reproducible evaluation and development of tag-based recommender algorithms
Trattner, C., Kowald, D., & Lacic, E.
ACM SIGWEB Newsletter, (Winter 2015), 3
Utilizing online social network and location-based data to recommend products and categories in online marketplaces
Lacic, E., Kowald, D., Eberhard, L., Trattner, C., Parra, D., & Marinho, L. B.
In Mining, Modeling, and Recommending'Things' in Social Media (pp. 96-115). Springer International Publishing. 2015
Recommending items in social tagging systems using tag and time information
Lacic, E., Kowald, D., Seitlinger, P., Trattner, C., & Parra, D. (2014, September)
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
Socrecm: A scalable social recommender engine for online marketplaces
Lacic, E., Kowald, D., & Trattner, C. (2014, September)
In Proceedings of the 25th ACM conference on Hypertext and social media (pp. 308-310). ACM
Tagrec: Towards a standardized tag recommender benchmarking framework
Kowald, D., Lacic, E., & Trattner, C. (2014, September)
In Proceedings of the 25th ACM conference on Hypertext and social media (pp. 305-307). ACM. (best poster award)
Towards a scalable social recommender engine for online marketplaces: The case of apache solr
Lacic, E., Kowald, D., Parra, D., Kahr, M., & Trattner, C. (2014, April)
In Proceedings of the 23rd International Conference on World Wide Web (pp. 817-822). ACM
LIM App: Reflecting on Audience Feedback for Improving Presentation Skills
Rivera-Pelayo, V., Lacic, E., Zacharias, V., & Studer, R. (2013, September)
In European Conference on Technology Enhanced Learning (pp. 514-519). Springer Berlin Heidelberg.

Experiences

Senior Software Engineer and Scientific Researcher

September 2016 - Current
Know-Center Graz, Austria

Management, lead development and consulting on industry projects in the domain of recommendation systems.

University/Project Assistant

October 2013 - August 2016

Knowledge extraction and, construction and utilization of social network data with the objective to deliver relevant information to businesses and users. EU funded project Learning Layers, supported by the European Commission within the 7th Framework Program.

Junior Software Developer

January 2013 - September 2013
1&1 Internet AG Karlsruhe, Germany

Ruby development on internal central administration and monitoring solution used by the Data Center Infrastructure Management (DCIM) and IT Operations (ITO) departments. Project development through Scrum.

Java Developer

May 2012 - November 2012

Developing for the Mirror project (co-funded by European Commission IST 7th Framework Program).

Software Engineer

May 2011 - January 2012
Infobip Zagreb, Croatia

Design, development and maintenance of enterprise applications in the field of mobile cloud services (SMS, HLR, USSD, etc.).

Java Developer

July 2010 - September 2010
Ericsson Zagreb, Croatia

Design, implementation and testing solutions for the information system of primary healthcare.

Co-supervised Theses

Fadljevic, L. (2017) Analysis and Prediction of Movie Preferences. Master Thesis. University of Zagreb, Faculty of Electrical Engineering and Computing (cooperaton with the Know-Center in Graz, Austria).
Duricic, T. (2015) Real-time recommendations based on social trust. Master Thesis. University of Zagreb, Faculty of Electrical Engineering and Computing (cooperation with the Know-Center in Graz, Austria).

Software Projects

ScaR - Scalable Recommendation-as-a-Service.
TagRec - Towards A Standardized Tag Recommender Benchmarking Framework.
SNA - Computational Social Networks and Demand Forecasting
Layers - The Learning Layers Technical Infrastructure.
Matchmaker - Spark scientific collaboration

Organization, Chairing and Reviewing Services

MSM'19 - Reviewer for the 10th International Workshop on Modeling Social Media: Mining, Modeling and Learning from Social Media (MSM'2019) co-located with the TheWebConf 2019 in San Francisco, USA (January 2019)
MDPI Information - Reviewer for MDPI's Information Open Access Journal (January 2019)
CIKM'18 - Track Chair for the Neural Recommendation track of the ACM Conference on Information and Knowledge Management in Turin, Italy (October 2018)
RS-SNA'17 - Organizer & Workshop Chair at the Workshop on Recommender Systems and Social Network Analysis co-located with i-KNOW'17 in Graz, Austria (October 2017)
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'16 in Graz, Austria (October 2016)
i-KNOW'15 - Session Chair at 15th International Conference on Knowledge Technologies and Data-driven Business (i-KNOW'15) in Graz, Austria (October 2015)
MSM'15 - Reviewer for the 6th International Workshop on Modeling Social Media: Behavioral Analytics in Social Media, Big Data and the Web (MSM'2015) co-located with the WWW 2015 conference in Florence, Italy (February 2015)
WMF - Member of the Wissensmanagement (Knowledge Management) Forum Executive Board (September 2014 - Present)
JC - Reviewer for Journal of Computers, Academy Publisher (November 2014)
EC-TEL'14 - Reviewer at the 9th European Conference on Technology Enhanced Learning (May 2014)