Lars Schmidt-Thieme

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Steffen RendleGoogleVerified email at google.com
Josif GrabockaProfessor of Machine LearningVerified email at utn.de
Zeno GantnerMetaVerified email at meta.com
Lucas Rego DrumondRobert Bosch GmbHVerified email at ismll.de
Martin WistubaAmazon Web ServicesVerified 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-Universität zu BerlinVerified email at hu-berlin.de
Tomas HorvathEdinburgh Napier University, Pavol Jozef Šafárik UniversityVerified email at upjs.sk
Krisztian BuzaBudapest Business University, HungaryVerified email at uni-bge.hu
Hadi S. JomaaUniversity of HildesheimVerified email at ismll.uni-hildesheim.de
Artus Krohn-GrimbergheLYTiQ GmbHVerified email at aisbi.de
Ahmed RashedData Scientist & Research Assistant at Information Systems and Machine Learning Lab (ISMLL)Verified email at ismll.de
Shayan JawedPh.D. Student, University of HildesheimVerified email at ismll.de
Jonas K. FalknerResearch Associate, University of HildesheimVerified email at ismll.de
Ernesto Diaz-AvilesCo-Founder and CEO at Libre AI & recsyslabsVerified email at diazaviles.com
Panagiotis SymeonidisAssociate Professor, Dept. of Inform. and Commun. Systems Engineering., University of the AegeanVerified email at aegean.gr

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	7409	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	2622	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	877	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	748	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	741	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	578	2014
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	530	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	521	2008
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	475	2009
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	434	2010
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	397	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	391	2010
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	320	2008
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	312*	2005
Taxonomy-driven computation of product recommendations CN Ziegler, G Lausen, L Schmidt-Thieme Proceedings of the thirteenth ACM international conference on Information …, 2004	300	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	267	2008
Beyond manual tuning of hyperparameters F Hutter, J Lücke, L Schmidt-Thieme KI-Künstliche Intelligenz 29, 329-337, 2015	258	2015
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	228	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	210	2012
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	184	2008

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