Lars Schmidt-Thieme

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Steffen RendleGoogleVerified email at google.com
J.-Prof. Dr. Josif GrabockaW1 Professor of Representation Learning, University of FreiburgVerified email at informatik.uni-freiburg.de
Zeno GantnerZalando SE, Berlin; formerly HERE Technologies/Nokia, and University of HildesheimVerified email at zalando.de
Lucas DrumondVerified email at ismll.de
Martin WistubaIBM ResearchVerified email at ismll.de
Nicolas SchillingUniversität HildesheimVerified email at ismll.de
Leandro Balby MarinhoProfessor de Ciência da Computação, Universidade Federal de Campina GrandeVerified email at dsc.ufcg.edu.br
Nguyen Thai-NgheCan Tho UniversityVerified email at cit.ctu.edu.vn
Andreas HothoUniversity of WürzburgVerified email at informatik.uni-wuerzburg.de
Gerd StummeProfessor für Informatik, Universität Kassel & L3S Research CenterVerified email at cs.uni-kassel.de
Robert JäschkeProfessor of Information Processing and Analytics, Humboldt University Berlin & L3S Research CenterVerified email at l3s.de
Tomas HorvathELTE Eötvös Loránd University, Budapest, HungaryVerified email at inf.elte.hu
Krisztian BuzaJožef Stefan Institute, Ljubljana, SloveniaVerified email at ijs.si
Dr. Carlotta SchattenUniversity of HildesheimVerified email at ismll.de
Artus Krohn-GrimbergheLYTiQ GmbHVerified email at aisbi.de
Hadi S. JomaaUniversity of HildesheimVerified email at ismll.uni-hildesheim.de
Ernesto Diaz-AvilesCo-Founder and CEO at Libre AI & recsyslabsVerified email at diazaviles.com
Panagiotis SymeonidisAssociate Professor, Dept. of Information and Communication Systems Eng., University of the AegeanVerified email at aegean.gr
Rasoul KarimiUniversity of Hildeshiem, GermanyVerified email at ismll.de
Philipp CimianoProfessor for Computer Science, Bielefeld UniversityVerified email at cimiano.de

Lars Schmidt-Thieme

University of Hildesheim, Germany

Verified email at ismll.uni-hildesheim.de - Homepage

machine learning


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BPR: Bayesian personalized ranking from implicit feedback S Rendle, C Freudenthaler, Z Gantner, L Schmidt-Thieme arXiv preprint arXiv:1205.2618, 2012	5110	2012
Factorizing personalized markov chains for next-basket recommendation S Rendle, C Freudenthaler, L Schmidt-Thieme Proceedings of the 19th international conference on World wide web, 811-820, 2010	1684	2010
Pairwise interaction tensor factorization for personalized tag recommendation S Rendle, L Schmidt-Thieme Proceedings of the third ACM international conference on Web search and data …, 2010	815	2010
Tag recommendations in folksonomies R Jäschke, L Marinho, A Hotho, L Schmidt-Thieme, G Stumme Knowledge Discovery in Databases: PKDD 2007: 11th European Conference on …, 2007	731	2007
Fast context-aware recommendations with factorization machines S Rendle, Z Gantner, C Freudenthaler, L Schmidt-Thieme Proceedings of the 34th international ACM SIGIR conference on Research and …, 2011	640	2011
Tag-aware recommender systems by fusion of collaborative filtering algorithms KHL Tso-Sutter, LB Marinho, L Schmidt-Thieme Proceedings of the 2008 ACM symposium on Applied computing, 1995-1999, 2008	512	2008
MyMediaLite: A free recommender system library Z Gantner, S Rendle, C Freudenthaler, L Schmidt-Thieme Proceedings of the fifth ACM conference on Recommender systems, 305-308, 2011	496	2011
Learning time-series shapelets J Grabocka, N Schilling, M Wistuba, L Schmidt-Thieme Proceedings of the 20th ACM SIGKDD international conference on Knowledge …, 2014	463	2014
Learning optimal ranking with tensor factorization for tag recommendation S Rendle, L Balby Marinho, A Nanopoulos, L Schmidt-Thieme Proceedings of the 15th ACM SIGKDD international conference on Knowledge …, 2009	455	2009
Learning attribute-to-feature mappings for cold-start recommendations Z Gantner, L Drumond, C Freudenthaler, S Rendle, L Schmidt-Thieme 2010 IEEE International Conference on Data Mining, 176-185, 2010	351	2010
Cost-sensitive learning methods for imbalanced data N Thai-Nghe, Z Gantner, L Schmidt-Thieme The 2010 International joint conference on neural networks (IJCNN), 1-8, 2010	322	2010
Recommender system for predicting student performance N Thai-Nghe, L Drumond, A Krohn-Grimberghe, L Schmidt-Thieme Procedia Computer Science 1 (2), 2811-2819, 2010	319	2010
Learning taxonomic relations from heterogeneous sources of evidence P Cimiano, A Pivk, L Schmidt-Thieme, S Staab Ontology Learning from Text: Methods, evaluation and applications 123, 59-73, 2005	308*	2005
Online-updating regularized kernel matrix factorization models for large-scale recommender systems S Rendle, L Schmidt-Thieme Proceedings of the 2008 ACM conference on Recommender systems, 251-258, 2008	294	2008
Taxonomy-driven computation of product recommendations CN Ziegler, G Lausen, L Schmidt-Thieme Proceedings of the thirteenth ACM international conference on Information …, 2004	277	2004
Tag recommendations in social bookmarking systems R Jäschke, L Marinho, A Hotho, L Schmidt-Thieme, G Stumme Ai Communications 21 (4), 231-247, 2008	265	2008
Multi-relational matrix factorization using bayesian personalized ranking for social network data A Krohn-Grimberghe, L Drumond, C Freudenthaler, L Schmidt-Thieme Proceedings of the fifth ACM international conference on Web search and data …, 2012	203	2012
Real-time top-n recommendation in social streams E Diaz-Aviles, L Drumond, L Schmidt-Thieme, W Nejdl Proceedings of the sixth ACM conference on Recommender systems, 59-66, 2012	189	2012
Beyond manual tuning of hyperparameters F Hutter, J Lücke, L Schmidt-Thieme KI-Künstliche Intelligenz 29, 329-337, 2015	180	2015
Data analysis, machine learning and applications MR Berthold, N Cebron, F Dill, TR Gabriel, T Kötter, T Meinl, P Ohl, C Sieb, ... Proceedings of the 31st Annual Conference of the Gesellschaft für …, 2008	165	2008

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