Lars Schmidt-Thieme

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Steffen RendleGoogleEmail yang diverifikasi di google.com
Josif GrabockaProfessor of Machine LearningEmail yang diverifikasi di utn.de
Zeno GantnerMetaEmail yang diverifikasi di meta.com
Lucas Rego DrumondRobert Bosch GmbHEmail yang diverifikasi di ismll.de
Martin WistubaAmazon Web ServicesEmail yang diverifikasi di ismll.de
Nicolas SchillingUniversität HildesheimEmail yang diverifikasi di ismll.de
Leandro Balby MarinhoProfessor de Ciência da Computação, Universidade Federal de Campina GrandeEmail yang diverifikasi di dsc.ufcg.edu.br
Nguyen Thai-NgheCan Tho UniversityEmail yang diverifikasi di cit.ctu.edu.vn
Andreas HothoUniversity of WürzburgEmail yang diverifikasi di informatik.uni-wuerzburg.de
Gerd StummeProfessor für Informatik, Universität Kassel & L3S Research CenterEmail yang diverifikasi di cs.uni-kassel.de
Robert JäschkeProfessor of Information Processing and Analytics, Humboldt-Universität zu BerlinEmail yang diverifikasi di hu-berlin.de
Tomas HorvathEdinburgh Napier UniversityEmail yang diverifikasi di napier.ac.uk
Krisztian BuzaBudapest University of Economics and Business, HungaryEmail yang diverifikasi di uni-bge.hu
Ahmed RashedData Scientist & Research Assistant at Information Systems and Machine Learning Lab (ISMLL)Email yang diverifikasi di ismll.de
Hadi S. JomaaUniversity of HildesheimEmail yang diverifikasi di ismll.uni-hildesheim.de
Artus Krohn-GrimbergheLYTiQ GmbHEmail yang diverifikasi di aisbi.de
Shayan JawedPh.D. Student, University of HildesheimEmail yang diverifikasi di ismll.de
Jonas K. FalknerResearch Associate, University of HildesheimEmail yang diverifikasi di ismll.de
Ernesto Diaz-AvilesCo-Founder and CEO at Libre AI & recsyslabsEmail yang diverifikasi di diazaviles.com
Panagiotis SymeonidisAssociate Professor, Dept. of Inform. and Commun. Systems Engineering., University of the AegeanEmail yang diverifikasi di aegean.gr

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Lars Schmidt-Thieme

University of Hildesheim, Germany

Email yang diverifikasi di ismll.uni-hildesheim.de - Beranda

machine learning


Judul Urutkan menurut kutipan Urutkan menurut tahun Urutkan menurut judul	Dikutip oleh Dikutip oleh	Tahun
BPR: Bayesian personalized ranking from implicit feedback S Rendle, C Freudenthaler, Z Gantner, L Schmidt-Thieme arXiv preprint arXiv:1205.2618, 2012	8009	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	2816	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	887	2010
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	756	2011
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	752	2007
Learning time-series shapelets J Grabocka, N Schilling, M Wistuba, L Schmidt-Thieme Proceedings of the 20th ACM SIGKDD international conference on Knowledge …, 2014	608	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	536	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	525	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	469	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	456	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	402	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	400	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	318	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	313*	2005
Taxonomy-driven computation of product recommendations CN Ziegler, G Lausen, L Schmidt-Thieme Proceedings of the thirteenth ACM international conference on Information …, 2004	299	2004
Beyond manual tuning of hyperparameters F Hutter, J Lücke, L Schmidt-Thieme KI-Künstliche Intelligenz 29, 329-337, 2015	268	2015
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	229	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	212	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	195	2008

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