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Personen: Dr. Zeno Gantner

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:

Datensätze

Publikationen


Bücher:
  • Zeno Gantner (2012):
    Supervised Machine Learning Methods for Item Recommendation, Universität Hildesheim. PDF
Artikel:
  • 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) . PDF
  • 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 . PDF
  • 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) . PDF
  • 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. PDF
  • 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. PDF
  • 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. PDF
  • Christian Wartena, Wout Slakhorst, Martin Wibbels, Zeno Gantner, Christoph Freudenthaler, Chris Newell, Lars Schmidt-Thieme (2011):
    Keyword-Based TV Program Recommendation, to appear 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. PDF
  • 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. PDF
  • 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. PDF
  • 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. PDF
  • 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. PDF
  • 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). PDF
  • 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). PDF
  • 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. PDF
  • 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. PDF
  • 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. PDF
  • 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

Gutachtertätigkeit etc.

Lehre

Lehrveranstaltungen

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)