LIM App: Reflecting on Audience Feedback for Improving Presentation Skills. - Verónica Rivera-Pelayo; Emanuel Lacic; Valentin Zacharias; Rudi Studer (EC-TEL, 2013)

Utilizing Online Social Network and Location-Based Data to Recommend Products and Categories in Online Marketplaces. - Emanuel Lacic; Dominik Kowald; Lukas Eberhard; Christoph Trattner; Denis Parra; Leandro Balby Marinho (MSM/MUSE, 2013)

TagRec: towards a standardized tag recommender benchmarking framework. - Dominik Kowald; Emanuel Lacic; Christoph Trattner (HT, 2014)

Recommending Items in Social Tagging Systems Using Tag and Time Informations. - Emanuel Lacic; Dominik Kowald; Paul Seitlinger; Christoph Trattner; Denis Parra (HT (Doctoral Consortium / Late-breaking Results / Workshops), 2014)

SocRecM: a scalable social recommender engine for online marketplaces. - Emanuel Lacic; Dominik Kowald; Christoph Trattner (HT, 2014)

Towards a scalable social recommender engine for online marketplaces: the case of apache solr. - Emanuel Lacic; Dominik Kowald; Denis Parra; Martin Kahr; Christoph Trattner (WWW (Companion Volume), 2014)

Utilizing Online Social Network and Location-Based Data to Recommend Items in an Online Marketplace. - Emanuel Lacic; Dominik Kowald; Lukas Eberhard; Christoph Trattner; Denis Parra; Leandro Balby Marinho (CoRR, 2014)

Recommending Items in Social Tagging Systems Using Tag and Time Information. - Emanuel Lacic; Dominik Kowald; Paul Seitlinger; Christoph Trattner; Denis Parra (CoRR, 2014)

The social semantic server: a flexible framework to support informal learning at the workplace. - Sebastian Dennerlein; Dominik Kowald; Elisabeth Lex; Dieter Theiler; Emanuel Lacic; Tobias Ley (I-KNOW, 2015)

Smart booking without looking: providing hotel recommendations in the TripRebel portal. - Matthias Traub; Dominik Kowald; Emanuel Lacic; Pepijn Schoen; Gernot Supp; Elisabeth Lex (I-KNOW, 2015)

Tackling Cold-Start Users in Recommender Systems with Indoor Positioning Systems. - Emanuel Lacic; Dominik Kowald; Matthias Traub; Granit Luzhnica; Jörg Simon; Elisabeth Lex (RecSys Posters, 2015)

TagRec: towards a toolkit for reproducible evaluation and development of tag-based recommender algorithms. - Christoph Trattner; Dominik Kowald; Emanuel Lacic (SIGWEB Newsl., 2015)

Real-Time Recommendations in a Multi-Domain Environment. - Emanuel Lacic (HT (Extended Proceedings), 2016)

High Enough?: Explaining and Predicting Traveler Satisfaction Using Airline Reviews. - Emanuel Lacic; Dominik Kowald; Elisabeth Lex (HT, 2016)

High Enough? Explaining and Predicting Traveler Satisfaction Using Airline Review. - Emanuel Lacic; Dominik Kowald; Elisabeth Lex (CoRR, 2016)

Tailoring Recommendations for a Multi-Domain Environment. - Emanuel Lacic; Dominik Kowald; Elisabeth Lex (RecSysKTL, 2017)

Beyond Accuracy Optimization: On the Value of Item Embeddings for Student Job Recommendations. - Emanuel Lacic; Dominik Kowald; Markus Reiter-Haas; Valentin Slawicek; Elisabeth Lex (CoRR, 2017)

"Real-time recommendations in a multi-domain environment" by Emanuel Lacic with Prateek Jain as coordinator. - Emanuel Lacic (SIGWEB Newsl., 2017)

AFEL-REC: A Recommender System for Providing Learning Resource Recommendations in Social Learning Environments. - Dominik Kowald; Emanuel Lacic; Dieter Theiler; Elisabeth Lex (CIKM Workshops, 2018)

Neighborhood Troubles: On the Value of User Pre-Filtering To Speed Up and Enhance Recommendations. - Emanuel Lacic; Dominik Kowald; Elisabeth Lex (CIKM Workshops, 2018)

Trust-based collaborative filtering: tackling the cold start problem using regular equivalence. - Tomislav Duricic; Emanuel Lacic; Dominik Kowald; Elisabeth Lex (RecSys, 2018)

Gone in 30 days! Predictions for car import planning. - Emanuel Lacic; Matthias Traub; Tomislav Duricic; Eva Haslauer; Elisabeth Lex (it Inf. Technol., 2018)

Should we embed?: a study on the online performance of utilizing embeddings for real-time job recommendations. - Emanuel Lacic; Markus Reiter-Haas; Tomislav Duricic; Valentin Slawicek; Elisabeth Lex (RecSys, 2019)

Exploiting weak ties in trust-based recommender systems using regular equivalence. - Tomislav Duricic; Emanuel Lacic; Dominik Kowald; Elisabeth Lex (CoRR, 2019)

Using the Open Meta Kaggle Dataset to Evaluate Tripartite Recommendations in Data Markets. - Dominik Kowald; Matthias Traub; Dieter Theiler; Heimo Gursch; Emanuel Lacic; Stefanie N. Lindstaedt; Roman Kern; Elisabeth Lex (CoRR, 2019)

Evaluating Tag Recommendations for E-Book Annotation Using a Semantic Similarity Metric. - Emanuel Lacic; Dominik Kowald; Dieter Theiler; Matthias Traub; Lucky Kuffer; Stefanie N. Lindstaedt; Elisabeth Lex (CoRR, 2019)

Empirical Comparison of Graph Embeddings for Trust-Based Collaborative Filtering. - Tomislav Duricic; Hussain Hussain; Emanuel Lacic; Dominik Kowald; Denis Helic; Elisabeth Lex (ISMIS, 2020)

On the Heterogeneous Information Needs in the Job Domain: A Unified Platform for Student Career. - Markus Reiter-Haas; David Wittenbrink; Emanuel Lacic (RecSys, 2020)

Using autoencoders for session-based job recommendations. - Emanuel Lacic; Markus Reiter-Haas; Dominik Kowald; Manoj Reddy Dareddy; Junghoo Cho; Elisabeth Lex (User Model. User Adapt. Interact., 2020)

Popularity Bias in Collaborative Filtering-Based Multimedia Recommender Systems. - Dominik Kowald; Emanuel Lacic (BIAS, 2022)

What Drives Readership? An Online Study on User Interface Types and Popularity Bias Mitigation in News Article Recommendations. - Emanuel Lacic; Leon Fadljevic; Franz Weissenboeck; Stefanie N. Lindstaedt; Dominik Kowald (ECIR (2), 2022)

Recommendations in a Multi-Domain Setting: Adapting for Customization, Scalability and Real-Time Performance. - Emanuel Lacic; Dominik Kowald (CoRR, 2022)

Uptrendz: API-Centric Real-Time Recommendations in Multi-domain Settings. - Emanuel Lacic; Tomislav Duricic; Leon Fadljevic; Dieter Theiler; Dominik Kowald (ECIR (3), 2023)

Knowledge Distillation for Real-Time Classification of Early Media in Voice Communications. - Kemal Altwlkany; Hadzem Hadzic; Amar Kuric; Emanuel Lacic (MASCOTS, 2024)

Beyond-accuracy: a review on diversity, serendipity, and fairness in recommender systems based on graph neural networks. - Tomislav Duricic; Dominik Kowald; Emanuel Lacic; Elisabeth Lex (Frontiers Big Data, 2024)

Editorial: Reviews in recommender systems: 2022. - Dominik Kowald; Deqing Yang; Emanuel Lacic (Frontiers Big Data, 2024)

Towards Improving Visual Chatbot Builders with Intent-based Copilots (short paper). - Emanuel Lacic; Petra Fribert; Anamarija Lukac; Ivica Lovric (IUI Workshops, 2025)

On the Language and Gender Biases in PSTN, VoIP and Neural Audio Codecs. - Kemal Altwlkany; Amar Kuric; Emanuel Lacic (CoRR, 2025)

Vocalize: Lead Acquisition and User Engagement through Gamified Voice Competitions. - Edvin Teskeredzic; Muamer Paric; Adna Sestic; Petra Fribert; Anamarija Lukac; Hadzem Hadzic; Kemal Altwlkany; Emanuel Lacic (CoRR, 2025)