Emanuel Lacic - RankMe

53 papers A* 1A 4B 2C 1Journal 27Unranked 18

Year	Rank	Type	Title / 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