Emanuel Lacic

53 papers A* 1A 4B 2C 1Journal 27Unranked 18
YearRankTypeTitle / Venue / Authors
2026 A* conf
Visual Content Moderation in Messaging Systems.
WWW
Maria Ljubicic, Emanuel Lacic, Denis Helic
2025 A conf
On the Language and Gender Biases in PSTN, VoIP and Neural Audio Codecs.
INTERSPEECH
Kemal Altwlkany, Amar Kuric, Emanuel Lacic
2025 J jnl
On the Language and Gender Biases in PSTN, VoIP and Neural Audio Codecs.
CoRR
Kemal Altwlkany, Amar Kuric, Emanuel Lacic
2025 — conf
Towards Improving Visual Chatbot Builders with Intent-based Copilots (short paper).
IUI Workshops
Emanuel Lacic, Petra Fribert, Anamarija Lukac, Ivica Lovric
2025 — conf
Vocalize: Lead Acquisition and User Engagement through Gamified Voice Competitions.
HT Adjunct
Edvin Teskeredzic, Muamer Paric, Adna Sestic, Petra Fribert, Anamarija Lukac, Hadzem Hadzic, Kemal Altwlkany, Emanuel Lacic
2025 J jnl
Vocalize: Lead Acquisition and User Engagement through Gamified Voice Competitions.
CoRR
Edvin Teskeredzic, Muamer Paric, Adna Sestic, Petra Fribert, Anamarija Lukac, Hadzem Hadzic, Kemal Altwlkany, Emanuel Lacic
2024 J jnl
Beyond-accuracy: a review on diversity, serendipity, and fairness in recommender systems based on graph neural networks.
Frontiers Big Data
Tomislav Duricic, Dominik Kowald, Emanuel Lacic, Elisabeth Lex
2024 J jnl
Editorial: Reviews in recommender systems: 2022.
Frontiers Big Data
Dominik Kowald, Deqing Yang, Emanuel Lacic
2024 B conf
Knowledge Distillation for Real-Time Classification of Early Media in Voice Communications.
MASCOTS
Kemal Altwlkany, Hadzem Hadzic, Amar Kuric, Emanuel Lacic
2024 J jnl
Knowledge Distillation for Real-Time Classification of Early Media in Voice Communications.
CoRR
Kemal Altwlkany, Hadzem Hadzic, Amar Kuric, Emanuel Lacic
2023 J jnl
Beyond-Accuracy: A Review on Diversity, Serendipity and Fairness in Recommender Systems Based on Graph Neural Networks.
CoRR
Tomislav Duricic, Dominik Kowald, Emanuel Lacic, Elisabeth Lex
2023 — conf
Uptrendz: API-Centric Real-Time Recommendations in Multi-domain Settings.
ECIR (3)
Emanuel Lacic, Tomislav Duricic, Leon Fadljevic, Dieter Theiler, Dominik Kowald
2023 J jnl
Uptrendz: API-Centric Real-time Recommendations in Multi-Domain Settings.
CoRR
Emanuel Lacic, Tomislav Duricic, Leon Fadljevic, Dieter Theiler, Dominik Kowald
2022 — conf
Popularity Bias in Collaborative Filtering-Based Multimedia Recommender Systems.
BIAS
Dominik Kowald, Emanuel Lacic
2022 J jnl
Popularity Bias in Collaborative Filtering-Based Multimedia Recommender Systems.
CoRR
Dominik Kowald, Emanuel Lacic
2022 J jnl
Recommendations in a Multi-Domain Setting: Adapting for Customization, Scalability and Real-Time Performance.
CoRR
Emanuel Lacic, Dominik Kowald
2022 — conf
What Drives Readership? An Online Study on User Interface Types and Popularity Bias Mitigation in News Article Recommendations.
ECIR (2)
Emanuel Lacic, Leon Fadljevic, Franz Weissenboeck, Stefanie N. Lindstaedt, Dominik Kowald
2021 J jnl
What Drives Readership? An Online Study on User Interface Types and Popularity Bias Mitigation in News Article Recommendations.
CoRR
Emanuel Lacic, Leon Fadljevic, Franz Weissenboeck, Stefanie N. Lindstädt, Dominik Kowald
2020 C conf
Empirical Comparison of Graph Embeddings for Trust-Based Collaborative Filtering.
ISMIS
Tomislav Duricic, Hussain Hussain, Emanuel Lacic, Dominik Kowald, Denis Helic, Elisabeth Lex
2020 J jnl
Empirical Comparison of Graph Embeddings for Trust-Based Collaborative Filtering.
CoRR
Tomislav Duricic, Hussain Hussain, Emanuel Lacic, Dominik Kowald, Denis Helic, Elisabeth Lex
2020 A conf
On the Heterogeneous Information Needs in the Job Domain: A Unified Platform for Student Career.
RecSys
Markus Reiter-Haas, David Wittenbrink, Emanuel Lacic
2020 J jnl
Using autoencoders for session-based job recommendations.
User Model. User Adapt. Interact.
Emanuel Lacic, Markus Reiter-Haas, Dominik Kowald, Manoj Reddy Dareddy, Junghoo Cho, Elisabeth Lex
2019 J jnl
Evaluating Tag Recommendations for E-Book Annotation Using a Semantic Similarity Metric.
CoRR
Emanuel Lacic, Dominik Kowald, Dieter Theiler, Matthias Traub, Lucky Kuffer, Stefanie N. Lindstaedt, Elisabeth Lex
2019 J jnl
Exploiting weak ties in trust-based recommender systems using regular equivalence.
CoRR
Tomislav Duricic, Emanuel Lacic, Dominik Kowald, Elisabeth Lex
2019 J jnl
Should we Embed? A Study on the Online Performance of Utilizing Embeddings for Real-Time Job Recommendations.
CoRR
Markus Reiter-Haas, Emanuel Lacic, Tomislav Duricic, Valentin Slawicek, Elisabeth Lex
2019 A conf
Should we embed?: a study on the online performance of utilizing embeddings for real-time job recommendations.
RecSys
Emanuel Lacic, Markus Reiter-Haas, Tomislav Duricic, Valentin Slawicek, Elisabeth Lex
2019 J jnl
Using the Open Meta Kaggle Dataset to Evaluate Tripartite Recommendations in Data Markets.
CoRR
Dominik Kowald, Matthias Traub, Dieter Theiler, Heimo Gursch, Emanuel Lacic, Stefanie N. Lindstaedt, Roman Kern, Elisabeth Lex
2018 — conf
AFEL-REC: A Recommender System for Providing Learning Resource Recommendations in Social Learning Environments.
CIKM Workshops
Dominik Kowald, Emanuel Lacic, Dieter Theiler, Elisabeth Lex
2018 J jnl
AFEL-REC: A Recommender System for Providing Learning Resource Recommendations in Social Learning Environments.
CoRR
Dominik Kowald, Emanuel Lacic, Dieter Theiler, Elisabeth Lex
2018 J jnl
Gone in 30 days! Predictions for car import planning.
it Inf. Technol.
Emanuel Lacic, Matthias Traub, Tomislav Duricic, Eva Haslauer, Elisabeth Lex
2018 — conf
Neighborhood Troubles: On the Value of User Pre-Filtering To Speed Up and Enhance Recommendations.
CIKM Workshops
Emanuel Lacic, Dominik Kowald, Elisabeth Lex
2018 J jnl
Neighborhood Troubles: On the Value of User Pre-Filtering To Speed Up and Enhance Recommendations.
CoRR
Emanuel Lacic, Dominik Kowald, Elisabeth Lex
2018 J jnl
Trust-Based Collaborative Filtering: Tackling the Cold Start Problem Using Regular Equivalence.
CoRR
Tomislav Duricic, Emanuel Lacic, Dominik Kowald, Elisabeth Lex
2018 A conf
Trust-based collaborative filtering: tackling the cold start problem using regular equivalence.
RecSys
Tomislav Duricic, Emanuel Lacic, Dominik Kowald, Elisabeth Lex
2017 J jnl
"Real-time recommendations in a multi-domain environment" by Emanuel Lacic with Prateek Jain as coordinator.
SIGWEB Newsl.
Emanuel Lacic
2017 J jnl
Beyond Accuracy Optimization: On the Value of Item Embeddings for Student Job Recommendations.
CoRR
Emanuel Lacic, Dominik Kowald, Markus Reiter-Haas, Valentin Slawicek, Elisabeth Lex
2017 — conf
Tailoring Recommendations for a Multi-Domain Environment.
RecSysKTL
Emanuel Lacic, Dominik Kowald, Elisabeth Lex
2016 J jnl
High Enough? Explaining and Predicting Traveler Satisfaction Using Airline Review.
CoRR
Emanuel Lacic, Dominik Kowald, Elisabeth Lex
2016 — conf
High Enough?: Explaining and Predicting Traveler Satisfaction Using Airline Reviews.
HT
Emanuel Lacic, Dominik Kowald, Elisabeth Lex
2016 — conf
Real-Time Recommendations in a Multi-Domain Environment.
HT (Extended Proceedings)
Emanuel Lacic
2015 — conf
Smart booking without looking: providing hotel recommendations in the TripRebel portal.
I-KNOW
Matthias Traub, Dominik Kowald, Emanuel Lacic, Pepijn Schoen, Gernot Supp, Elisabeth Lex
2015 — conf
Tackling Cold-Start Users in Recommender Systems with Indoor Positioning Systems.
RecSys Posters
Emanuel Lacic, Dominik Kowald, Matthias Traub, Granit Luzhnica, Jörg Simon, Elisabeth Lex
2015 J jnl
TagRec: towards a toolkit for reproducible evaluation and development of tag-based recommender algorithms.
SIGWEB Newsl.
Christoph Trattner, Dominik Kowald, Emanuel Lacic
2015 — conf
The social semantic server: a flexible framework to support informal learning at the workplace.
I-KNOW
Sebastian Dennerlein, Dominik Kowald, Elisabeth Lex, Dieter Theiler, Emanuel Lacic, Tobias Ley
2014 J jnl
Recommending Items in Social Tagging Systems Using Tag and Time Information.
CoRR
Emanuel Lacic, Dominik Kowald, Paul Seitlinger, Christoph Trattner, Denis Parra
2014 — conf
Recommending Items in Social Tagging Systems Using Tag and Time Informations.
HT (Doctoral Consortium / Late-breaking Results / Workshops)
Emanuel Lacic, Dominik Kowald, Paul Seitlinger, Christoph Trattner, Denis Parra
2014 J jnl
SocRecM: A Scalable Social Recommender Engine for Online Marketplaces.
CoRR
Emanuel Lacic, Dominik Kowald, Christoph Trattner
2014 — conf
SocRecM: a scalable social recommender engine for online marketplaces.
HT
Emanuel Lacic, Dominik Kowald, Christoph Trattner
2014 — conf
TagRec: towards a standardized tag recommender benchmarking framework.
HT
Dominik Kowald, Emanuel Lacic, Christoph Trattner
2014 — conf
Towards a scalable social recommender engine for online marketplaces: the case of apache solr.
WWW (Companion Volume)
Emanuel Lacic, Dominik Kowald, Denis Parra, Martin Kahr, Christoph Trattner
2014 J jnl
Utilizing Online Social Network and Location-Based Data to Recommend Items in an Online Marketplace.
CoRR
Emanuel Lacic, Dominik Kowald, Lukas Eberhard, Christoph Trattner, Denis Parra, Leandro Balby Marinho
2013 B conf
LIM App: Reflecting on Audience Feedback for Improving Presentation Skills.
EC-TEL
Verónica Rivera-Pelayo, Emanuel Lacic, Valentin Zacharias, Rudi Studer
2013 — conf
Utilizing Online Social Network and Location-Based Data to Recommend Products and Categories in Online Marketplaces.
MSM/MUSE
Emanuel Lacic, Dominik Kowald, Lukas Eberhard, Christoph Trattner, Denis Parra, Leandro Balby Marinho