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
Management, lead development and consulting on industry projects in the domain of recommendation systems.
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.
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.
Developing for the Mirror project (co-funded by European Commission IST 7th Framework Program).
Design, development and maintenance of enterprise applications in the field of mobile cloud services (SMS, HLR, USSD, etc.).
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.
Organization, Chairing and Reviewing Services
MSM'19
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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
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Reviewer for MDPI's Information Open Access Journal (January 2019)
RS-SNA'17
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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
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Reviewer at the International Symposium on Open Collaboration (May 2017)
RSBDA'16
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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
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Session Chair at 15th International Conference on Knowledge Technologies and Data-driven Business (i-KNOW'15) in Graz, Austria (October 2015)
MSM'15
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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
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Member of the Wissensmanagement (Knowledge Management) Forum Executive Board (September 2014 - Present)
JC
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Reviewer for Journal of Computers, Academy Publisher (November 2014)
EC-TEL'14
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Reviewer at the 9th European Conference on Technology Enhanced Learning (May 2014)
