Personen:
Dr. Zeno Gantner
Bücher:
E-Mail: | OpenPGP-Schlüssel |
Über mich
Ich habe an der Albert-Ludwigs-Universität Freiburg Informatik mit Nebenfach Computerlinguistik studiert. 2012 wurde ich an der Universität Hildesheim zum Thema "Supervised Machine Learning Methods for Item Recommendation" promoviert.
Ich habe für das EU-Projekt Dynamic Personalization of Multimedia (MyMedia) das Workpackage Recommender Algorithm Development geleitet. Ich interessiere mich für überwachtes maschinelles Lernen, und dabei insbesondere für dessen Anwendung für Empfehlungssysteme und Text-Mining.
Seit April 2012 arbeite ich bei Nokia in Berlin an HERE Maps.
Software:
- MyMediaLite (Bibliothek mit Recommender-Algorithmen)
- Apache Mahout (2 Matrix-Faktorisierungs-Verfahren von MyMediaLite portiert, mit Version 0.8 veröffentlicht)
- GQR - Generic Qualitative Reasoner
- Padre - Die Perl-IDE
Datensätze
Publikationen
Bücher:
- Zeno Gantner (2012):
Supervised Machine Learning Methods for Item Recommendation, Universität Hildesheim.
- Ernesto Diaz-Aviles, Lucas Drumond, Zeno Gantner, Lars Schmidt-Thieme, Wolfgang Nejdl (2012):
What is Happening Right Now ... That Interests Me? Online Topic Discovery and Recommendation in Twitter , Proceedings of the 21st ACM International Conference on Information and Knowledge Management (CIKM 2012) . - Zeno Gantner, Lucas Drumond, Christoph Freudenthaler, Lars Schmidt-Thieme (2012):
Personalized Ranking for Non-Uniformly Sampled Items, Journal of Machine Learning Research Workshop and Conference Proceedings . - Bart P. Knijnenburg, Martijn C. Willemsen, Zeno Gantner, Hakan Soncu, Chris Newell (2012):
Explaining the user experience of recommender systems, User Modeling and User-Adapted Interaction (UMUAI) . - Zeno Gantner, Lucas Drumond, Christoph Freudenthaler, Lars Schmidt-Thieme (2011):
Bayesian Personalized Ranking for Non-Uniformly Sampled Items, in KDD Cup Workshop 2011, San Diego, USA. - Zeno Gantner, Steffen Rendle, Christoph Freudenthaler, Lars Schmidt-Thieme (2011):
MyMediaLite: A Free Recommender System Library, in 5th ACM International Conference on Recommender Systems (RecSys 2011), Chicago, USA. - Steffen Rendle, Zeno Gantner, Christoph Freudenthaler, Lars Schmidt-Thieme (2011):
Fast Context-aware Recommendations with Factorization Machines, in Proceedings of the 34th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2011), Beijing, China. - Christian Wartena, Wout Slakhorst, Martin Wibbels, Zeno Gantner, Christoph Freudenthaler, Chris Newell, Lars Schmidt-Thieme (2011):
Keyword-Based TV Program Recommendation, in 9th Workshop on Intelligent Techniques for Web Personalization and Recommender Systems (ITWP'11), Barcelona, Spain. - Nguyen Thai-Nghe, Zeno Gantner, Lars Schmidt-Thieme (2011):
A New Evaluation Measure for Learning from Imbalanced Data, in Proceedings of the IEEE International Joint Conference on Neural Networks (IJCNN 2011), IEEE Xplore. Student Travel Grant by INNS. - Zeno Gantner, Lucas Drumond, Christoph Freudenthaler, Steffen Rendle, Lars Schmidt-Thieme (2010):
Learning Attribute-to-Feature Mappings for Cold-Start Recommendations, in Proceedings of the 10th IEEE International Conference on Data Mining (ICDM 2010), Sydney, Australia. - Zeno Gantner, Steffen Rendle, Lars Schmidt-Thieme (2010):
Factorization Models for Context-/Time-Aware Movie Recommendations, in Challenge on Context-aware Movie Recommendation (CAMRa2010), ACM, Barcelona, Spain. Winner of 'Weekly Recommendation' and 'Live Evaluation' tracks. - Nguyen Thai-Nghe, Zeno Gantner, Lars Schmidt-Thieme (2010):
Cost-Sensitive Learning Methods for Imbalanced Data, in Proceedings of the IEEE International Joint Conference on Neural Networks (IJCNN 2010), IEEE Xplore. Student Travel Grant by INNS. - Zeno Gantner, Christoph Freudenthaler, Steffen Rendle, Lars Schmidt-Thieme (2009):
Optimal Ranking for Video Recommendation, in User Centric Media: First International Conference, UCMedia 2009, Revised Selected Papers, Springer. - Zeno Gantner, Lars Schmidt-Thieme (2009):
Automatic Content-based Categorization of Wikipedia Articles, in The People's Web Meets NLP: Collaboratively Constructed Semantic Resources. Workshop at Joint Conference of the 47th Annual Meeting of the Association for Computational Linguistics and the 4th International Joint Conference on Natural Language Processing of the Asian Federation of Natural Language Processing (ACL 2009). - Steffen Rendle, Christoph Freudenthaler, Zeno Gantner, Lars Schmidt-Thieme (2009):
BPR: Bayesian Personalized Ranking from Implicit Feedback, in Proceedings of the 25th Conference on Uncertainty in Artificial Intelligence (UAI 2009). - Matthias Westphal, Stefan Wölfl, Zeno Gantner (2009):
GQR: A Fast Reasoner for Binary Qualitative Constraint Networks, in AAAI Spring Symposium on Benchmarking of Qualitative Spatial and Temporal Reasoning Systems, AAAI. - Zeno Gantner, Matthias Westphal, Stefan Wölfl (2008):
GQR - A Fast Reasoner for Binary Qualitative Constraint Calculi, in Workshop Notes of the AAAI-08 Workshop on Spatial and Temporal Reasoning, AAAI. - Jochen Fischer, Zeno Gantner, Steffen Rendle, Manuel Stritt, Lars Schmidt-Thieme (2006):
Ideas and Improvements for Semantic Wikis, in Proceedings of the Third European Semantic Web Conference (ESWC 2006), Budva, Montenegro, Springer. - Thierry Declerck, Asunción Gómez Pérez, Ovidiu Vela, Zeno Gantner, David Manzano Macho (2006):
Multilingual Lexical Semantic Resources for Ontology Translation, in Proceedings of LREC 2006, Genoa, Italy, ELDA. - Thierry Declerck, Ovidiu Vela, Asunción Gómez Pérez, Zeno Gantner, David Manzano Macho (2005):
LabelTranslator: Multilingualism in Ontologies, in Poster/Demo Track of the fourth International Semantic Web Conference (ISWC 2005), Galway, Ireland.
Vorträge
- Recommender Systems Experiments with MyMediaLite, Berlin Buzzwords 2013 ((Video auf YouTube)
- Hands-on Recommender System Experiments with MyMediaLite, vorgetragen beim Recommender Systems Challenge 2012 Workshop und dem 4. Berliner Recommender-System-Stammtisch (Oktober 2012)
- MyMediaLite: a lightweight, multi-purpose library of recommender system algorithms, FOSDEM 2011
Gutachtertätigkeit etc.
- Mitglied im Advisory Board des EU-Forschungsprojekts CrowdRec
- Gutachter Transactions on Knowledge and Data Engineering
- Gutachter Journal of Machine Learning Research special issue on the KDD Cup 2011
- Mitglied im Programmkomitee 5th/6th/7th ACM International Conference on Recommender Systems (RecSys 2011, RecSys 2012 und RecSys 2013)
- Publicity Chair 5th ACM International Conference on Recommender Systems (RecSys 2011)
- Mitglied im Programmkomitee 5th ACM International Conference on Recommender Systems (RecSys 2011)
- Mitglied im Programmkomitee Reproducibility and Replication in Recommender System Evaluation (Workshop bei der RecSys 2013)
- Mitglied im Programmkomitee 3rd International Workshop on Context-Aware Recommender Systems (CARS 2011)
- Mitglied im Programmkomitee 2nd Workshop on Music Recommendation and Discovery (Womrad 2011)
- Mitglied im Programmkomitee ECML PKDD Discovery Challenge 2011: VideoLectures.Net Recommender System Challenge
- Mitglied im Programmkomitee Workshop Knowledge Discovery, Data Mining and Machine Learning 2009 (KDML 2009) und 2010
- Reviewer ACM RecSys: 2008, 2009, 2010
- Reviewer ECML PKDD: 2009, 2010, 2011
- Reviewer ACM SIGKDD 2009
- Reviewer International Semantic Web Conference (ISWC): 2008, 2009
- Reviewer International Federation of Classification Societies (IFCS) 2009
- Reviewer Jahrestagung der Gesellschaft für Klassification (GfKl): 2008, 2009, 2010
Lehre
Lehrveranstaltungen
- Sommersemester 2011: Übung zur Vorlesung Advanced Topics in Machine Learning
- Wintersemester 2010/2011: Praktikum Business Intelligence/Maschinelles Lernen
- Wintersemester 2009/2010: Übung zur Vorlesung Maschinelles Lernen
- Sommersemester 2009: Praktikum Maschinelles Lernen
- Wintersemester 2008/2009: Übung zur Vorlesung Maschinelles Lernen
- Wintersemester 2007/2008: Übung zur Vorlesung Maschinelles Lernen, Bachelor-Seminar Künstliche Intelligenz
- Wintersemester 2005/2006: Übung zur Vorlesung Computerunterstütztes Modellieren und Beweisen (Universität Freiburg)
Betreuung von Studierenden
- Mark Graus: Understanding the Latent Features in Matrix Factorization (Masterarbeit, TU Eindhoven)
- Thorsten Angermann: Empirische Analyse von Open-Source-Empfehlungssystemen (Masterarbeit)
- Malte Klemke: Anwendung von Verfahren des überwachten Lernens auf Microblogging-Daten (Bachelorarbeit)
- Martin Ortmann: Verteilte Hyperparameter-Suche (ML-Praktikum)
- Christian Sauer: Qualitatives Schließen (KI-Praktikum)
- Dennis Holzberg: Evaluation der Slope-One-Algorithmenfamilie auf dem Netflix-Datensatz (Bachelorarbeit)
- André Busche: Design und Implementierung eines Wrappers mit Hilfe von Ansätzen des maschinellen Lernens (Masterarbeit)