Emanuel Lacic

Publication Activity (10 Years)

Years Active: 2013-2024
Publications (10 Years): 32

Top Topics

Tag Recommendation

Recommender Systems

Top Venues

Publications

Dominik Kowald, Deqing Yang, Emanuel Lacic
Editorial: Reviews in recommender systems: 2022. Frontiers Big Data 7 (2024)
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)
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 (2023)
Emanuel Lacic, Tomislav Duricic, Leon Fadljevic, Dieter Theiler, Dominik Kowald
Uptrendz: API-Centric Real-time Recommendations in Multi-Domain Settings. CoRR (2023)
Emanuel Lacic, Tomislav Duricic, Leon Fadljevic, Dieter Theiler, Dominik Kowald
Uptrendz: API-Centric Real-Time Recommendations in Multi-domain Settings. ECIR (3) (2023)
Dominik Kowald, Emanuel Lacic
Popularity Bias in Collaborative Filtering-Based Multimedia Recommender Systems. BIAS (2022)
Dominik Kowald, Emanuel Lacic
Popularity Bias in Collaborative Filtering-Based Multimedia Recommender Systems. CoRR (2022)
Emanuel Lacic, Dominik Kowald
Recommendations in a Multi-Domain Setting: Adapting for Customization, Scalability and Real-Time Performance. CoRR (2022)
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)
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 (2021)
Tomislav Duricic, Hussain Hussain, Emanuel Lacic, Dominik Kowald, Denis Helic, Elisabeth Lex
Empirical Comparison of Graph Embeddings for Trust-Based Collaborative Filtering. CoRR (2020)
Tomislav Duricic, Hussain Hussain, Emanuel Lacic, Dominik Kowald, Denis Helic, Elisabeth Lex
Empirical Comparison of Graph Embeddings for Trust-Based Collaborative Filtering. ISMIS (2020)
Markus Reiter-Haas, David Wittenbrink, Emanuel Lacic
On the Heterogeneous Information Needs in the Job Domain: A Unified Platform for Student Career. RecSys (2020)
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) (2020)
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 (2019)
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)
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 (2019)
Tomislav Duricic, Emanuel Lacic, Dominik Kowald, Elisabeth Lex
Exploiting weak ties in trust-based recommender systems using regular equivalence. CoRR (2019)
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 (2019)
Emanuel Lacic, Dominik Kowald, Elisabeth Lex
Neighborhood Troubles: On the Value of User Pre-Filtering To Speed Up and Enhance Recommendations. CIKM Workshops (2018)
Emanuel Lacic, Matthias Traub, Tomislav Duricic, Eva Haslauer, Elisabeth Lex
Gone in 30 days! Predictions for car import planning. it Inf. Technol. 60 (4) (2018)
Dominik Kowald, Emanuel Lacic, Dieter Theiler, Elisabeth Lex
AFEL-REC: A Recommender System for Providing Learning Resource Recommendations in Social Learning Environments. CoRR (2018)
Tomislav Duricic, Emanuel Lacic, Dominik Kowald, Elisabeth Lex
Trust-Based Collaborative Filtering: Tackling the Cold Start Problem Using Regular Equivalence. CoRR (2018)
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)
Tomislav Duricic, Emanuel Lacic, Dominik Kowald, Elisabeth Lex
Trust-based collaborative filtering: tackling the cold start problem using regular equivalence. RecSys (2018)
Emanuel Lacic, Dominik Kowald, Elisabeth Lex
Neighborhood Troubles: On the Value of User Pre-Filtering To Speed Up and Enhance Recommendations. CoRR (2018)
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 (2017)
Emanuel Lacic, Dominik Kowald, Elisabeth Lex
Tailoring Recommendations for a Multi-Domain Environment. RecSysKTL (2017)
Emanuel Lacic
"Real-time recommendations in a multi-domain environment" by Emanuel Lacic with Prateek Jain as coordinator. SIGWEB Newsl. 2017 (Autumn) (2017)
Emanuel Lacic
Real-Time Recommendations in a Multi-Domain Environment. HT (Extended Proceedings) (2016)
Emanuel Lacic, Dominik Kowald, Elisabeth Lex
High Enough?: Explaining and Predicting Traveler Satisfaction Using Airline Reviews. HT (2016)
Emanuel Lacic, Dominik Kowald, Elisabeth Lex
High Enough? Explaining and Predicting Traveler Satisfaction Using Airline Review. CoRR (2016)
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)
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)
Christoph Trattner, Dominik Kowald, Emanuel Lacic
TagRec: towards a toolkit for reproducible evaluation and development of tag-based recommender algorithms. SIGWEB Newsl. 2015 (Winter) (2015)
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)
Emanuel Lacic, Dominik Kowald, Christoph Trattner
SocRecM: a scalable social recommender engine for online marketplaces. HT (2014)
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)
Emanuel Lacic, Dominik Kowald, Christoph Trattner
SocRecM: A Scalable Social Recommender Engine for Online Marketplaces. CoRR (2014)
Dominik Kowald, Emanuel Lacic, Christoph Trattner
TagRec: towards a standardized tag recommender benchmarking framework. HT (2014)
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 (2014)
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)
Emanuel Lacic, Dominik Kowald, Paul Seitlinger, Christoph Trattner, Denis Parra
Recommending Items in Social Tagging Systems Using Tag and Time Information. CoRR (2014)
Verónica Rivera-Pelayo, Emanuel Lacic, Valentin Zacharias, Rudi Studer
LIM App: Reflecting on Audience Feedback for Improving Presentation Skills. EC-TEL (2013)
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)