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ORCIDEmanuel Lacic
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2020 – today
- 2024
[j6]Tomislav Duricic, Dominik Kowald, Emanuel Lacic, Elisabeth Lex:
Beyond-accuracy: a review on diversity, serendipity, and fairness in recommender systems based on graph neural networks. Frontiers Big Data 6 (2024)- [j5]Dominik Kowald
, Deqing Yang, Emanuel Lacic:
Editorial: Reviews in recommender systems: 2022. Frontiers Big Data 7 (2024) - [c22]Kemal Altwlkany, Hadzem Hadzic, Amar Kuric, Emanuel Lacic:
Knowledge Distillation for Real-Time Classification of Early Media in Voice Communications. MASCOTS 2024: 1-4 - [i19]Kemal Altwlkany, Hadzem Hadzic, Amar Kuric, Emanuel Lacic:
Knowledge Distillation for Real-Time Classification of Early Media in Voice Communications. CoRR abs/2410.21478 (2024) - 2023
- [c21]Emanuel Lacic, Tomislav Duricic, Leon Fadljevic, Dieter Theiler, Dominik Kowald:
Uptrendz: API-Centric Real-Time Recommendations in Multi-domain Settings. ECIR (3) 2023: 255-261 - [i18]Emanuel Lacic, Tomislav Duricic, Leon Fadljevic, Dieter Theiler, Dominik Kowald:
Uptrendz: API-Centric Real-time Recommendations in Multi-Domain Settings. CoRR abs/2301.01037 (2023) - [i17]Tomislav Duricic, Dominik Kowald, Emanuel Lacic, Elisabeth Lex:
Beyond-Accuracy: A Review on Diversity, Serendipity and Fairness in Recommender Systems Based on Graph Neural Networks. CoRR abs/2310.02294 (2023) - 2022
- [c20]Dominik Kowald, Emanuel Lacic:
Popularity Bias in Collaborative Filtering-Based Multimedia Recommender Systems. BIAS 2022: 1-11 - [c19]Emanuel Lacic, Leon Fadljevic, Franz Weissenboeck, Stefanie N. Lindstaedt, Dominik Kowald:
What Drives Readership? An Online Study on User Interface Types and Popularity Bias Mitigation in News Article Recommendations. ECIR (2) 2022: 172-179 - [i16]Dominik Kowald, Emanuel Lacic:
Popularity Bias in Collaborative Filtering-Based Multimedia Recommender Systems. CoRR abs/2203.00376 (2022) - [i15]Emanuel Lacic, Dominik Kowald:
Recommendations in a Multi-Domain Setting: Adapting for Customization, Scalability and Real-Time Performance. CoRR abs/2203.01256 (2022) - 2021
- [i14]Emanuel Lacic, Leon Fadljevic, Franz Weissenboeck, Stefanie N. Lindstädt, Dominik Kowald:
What Drives Readership? An Online Study on User Interface Types and Popularity Bias Mitigation in News Article Recommendations. CoRR abs/2111.14467 (2021) - 2020
- [j4]Emanuel Lacic, Markus Reiter-Haas, Dominik Kowald, Manoj Reddy Dareddy, Junghoo Cho, Elisabeth Lex:
Using autoencoders for session-based job recommendations. User Model. User Adapt. Interact. 30(4): 617-658 (2020) - [c18]Tomislav Duricic, Hussain Hussain, Emanuel Lacic, Dominik Kowald, Denis Helic, Elisabeth Lex:
Empirical Comparison of Graph Embeddings for Trust-Based Collaborative Filtering. ISMIS 2020: 181-191 - [c17]Markus Reiter-Haas, David Wittenbrink, Emanuel Lacic:
On the Heterogeneous Information Needs in the Job Domain: A Unified Platform for Student Career. RecSys 2020: 573-574 - [i13]Tomislav Duricic, Hussain Hussain, Emanuel Lacic, Dominik Kowald, Denis Helic, Elisabeth Lex:
Empirical Comparison of Graph Embeddings for Trust-Based Collaborative Filtering. CoRR abs/2003.13345 (2020)
2010 – 2019
- 2019
- [c16]Emanuel Lacic, Markus Reiter-Haas, Tomislav Duricic, Valentin Slawicek, Elisabeth Lex:
Should we embed?: a study on the online performance of utilizing embeddings for real-time job recommendations. RecSys 2019: 496-500 - [i12]Markus Reiter-Haas, Emanuel Lacic, Tomislav Duricic, Valentin Slawicek, Elisabeth Lex:
Should we Embed? A Study on the Online Performance of Utilizing Embeddings for Real-Time Job Recommendations. CoRR abs/1907.06556 (2019) - [i11]Tomislav Duricic, Emanuel Lacic, Dominik Kowald, Elisabeth Lex:
Exploiting weak ties in trust-based recommender systems using regular equivalence. CoRR abs/1907.11620 (2019) - [i10]Dominik Kowald, Matthias Traub, Dieter Theiler, Heimo Gursch, Emanuel Lacic, Stefanie N. Lindstaedt, Roman Kern, Elisabeth Lex:
Using the Open Meta Kaggle Dataset to Evaluate Tripartite Recommendations in Data Markets. CoRR abs/1908.04017 (2019) - [i9]Emanuel Lacic, Dominik Kowald, Dieter Theiler, Matthias Traub, Lucky Kuffer, Stefanie N. Lindstaedt, Elisabeth Lex:
Evaluating Tag Recommendations for E-Book Annotation Using a Semantic Similarity Metric. CoRR abs/1908.04042 (2019) - 2018
- [j3]Emanuel Lacic, Matthias Traub, Tomislav Duricic, Eva Haslauer, Elisabeth Lex:
Gone in 30 days! Predictions for car import planning. it Inf. Technol. 60(4): 219-228 (2018) - [c15]Dominik Kowald, Emanuel Lacic, Dieter Theiler, Elisabeth Lex:
AFEL-REC: A Recommender System for Providing Learning Resource Recommendations in Social Learning Environments. CIKM Workshops 2018 - [c14]Emanuel Lacic, Dominik Kowald, Elisabeth Lex:
Neighborhood Troubles: On the Value of User Pre-Filtering To Speed Up and Enhance Recommendations. CIKM Workshops 2018 - [c13]Tomislav Duricic, Emanuel Lacic, Dominik Kowald, Elisabeth Lex:
Trust-based collaborative filtering: tackling the cold start problem using regular equivalence. RecSys 2018: 446-450 - [i8]Tomislav Duricic, Emanuel Lacic, Dominik Kowald, Elisabeth Lex:
Trust-Based Collaborative Filtering: Tackling the Cold Start Problem Using Regular Equivalence. CoRR abs/1807.06839 (2018) - [i7]Dominik Kowald, Emanuel Lacic, Dieter Theiler, Elisabeth Lex:
AFEL-REC: A Recommender System for Providing Learning Resource Recommendations in Social Learning Environments. CoRR abs/1808.04603 (2018) - [i6]Emanuel Lacic, Dominik Kowald, Elisabeth Lex:
Neighborhood Troubles: On the Value of User Pre-Filtering To Speed Up and Enhance Recommendations. CoRR abs/1808.06417 (2018) - 2017
- [j2]Emanuel Lacic:
"Real-time recommendations in a multi-domain environment" by Emanuel Lacic with Prateek Jain as coordinator. SIGWEB Newsl. 2017(Autumn): 3:1-3:2 (2017) - [c12]Emanuel Lacic, Dominik Kowald, Elisabeth Lex:
Tailoring Recommendations for a Multi-Domain Environment. RecSysKTL 2017: 42-45 - [i5]Emanuel Lacic, Dominik Kowald, Markus Reiter-Haas, Valentin Slawicek, Elisabeth Lex:
Beyond Accuracy Optimization: On the Value of Item Embeddings for Student Job Recommendations. CoRR abs/1711.07762 (2017) - 2016
- [c11]Emanuel Lacic:
Real-Time Recommendations in a Multi-Domain Environment. HT (Extended Proceedings) 2016 - [c10]Emanuel Lacic, Dominik Kowald, Elisabeth Lex:
High Enough?: Explaining and Predicting Traveler Satisfaction Using Airline Reviews. HT 2016: 249-254 - [i4]Emanuel Lacic, Dominik Kowald, Elisabeth Lex:
High Enough? Explaining and Predicting Traveler Satisfaction Using Airline Review. CoRR abs/1604.00942 (2016) - 2015
- [j1]Christoph Trattner, Dominik Kowald, Emanuel Lacic:
TagRec: towards a toolkit for reproducible evaluation and development of tag-based recommender algorithms. SIGWEB Newsl. 2015(Winter): 3:1-3:10 (2015) - [c9]Sebastian Dennerlein, Dominik Kowald, Elisabeth Lex, Dieter Theiler, Emanuel Lacic, Tobias Ley:
The social semantic server: a flexible framework to support informal learning at the workplace. I-KNOW 2015: 26:1-26:8 - [c8]Matthias Traub, Dominik Kowald, Emanuel Lacic, Pepijn Schoen, Gernot Supp, Elisabeth Lex:
Smart booking without looking: providing hotel recommendations in the TripRebel portal. I-KNOW 2015: 50:1-50:4 - [c7]Emanuel Lacic, Dominik Kowald, Matthias Traub, Granit Luzhnica, Jörg Simon, Elisabeth Lex:
Tackling Cold-Start Users in Recommender Systems with Indoor Positioning Systems. RecSys Posters 2015 - 2014
- [c6]Dominik Kowald, Emanuel Lacic, Christoph Trattner:
TagRec: towards a standardized tag recommender benchmarking framework. HT 2014: 305-307 - [c5]Emanuel Lacic, Dominik Kowald, Paul Seitlinger, Christoph Trattner, Denis Parra:
Recommending Items in Social Tagging Systems Using Tag and Time Informations. HT (Doctoral Consortium / Late-breaking Results / Workshops) 2014 - [c4]Emanuel Lacic, Dominik Kowald, Christoph Trattner:
SocRecM: a scalable social recommender engine for online marketplaces. HT 2014: 308-310 - [c3]Emanuel Lacic, Dominik Kowald, Denis Parra, Martin Kahr, Christoph Trattner:
Towards a scalable social recommender engine for online marketplaces: the case of apache solr. WWW (Companion Volume) 2014: 817-822 - [i3]Emanuel Lacic, Dominik Kowald, Lukas Eberhard, Christoph Trattner, Denis Parra, Leandro Balby Marinho:
Utilizing Online Social Network and Location-Based Data to Recommend Items in an Online Marketplace. CoRR abs/1405.1837 (2014) - [i2]Emanuel Lacic, Dominik Kowald, Christoph Trattner:
SocRecM: A Scalable Social Recommender Engine for Online Marketplaces. CoRR abs/1405.1842 (2014) - [i1]Emanuel Lacic, Dominik Kowald, Paul Seitlinger, Christoph Trattner, Denis Parra:
Recommending Items in Social Tagging Systems Using Tag and Time Information. CoRR abs/1406.7727 (2014) - 2013
- [c2]Verónica Rivera-Pelayo, Emanuel Lacic, Valentin Zacharias, Rudi Studer:
LIM App: Reflecting on Audience Feedback for Improving Presentation Skills. EC-TEL 2013: 514-519 - [c1]Emanuel Lacic, Dominik Kowald, Lukas Eberhard, Christoph Trattner, Denis Parra, Leandro Balby Marinho:
Utilizing Online Social Network and Location-Based Data to Recommend Products and Categories in Online Marketplaces. MSM/MUSE 2013: 96-115
Coauthor Index
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