Lars Schmidt-Thieme

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Steffen RendleGooglePreverjeni e-poštni naslov na google.com
Josif GrabockaProfessor of Machine LearningPreverjeni e-poštni naslov na utn.de
Zeno GantnerMetaPreverjeni e-poštni naslov na meta.com
Lucas Rego DrumondRobert Bosch GmbHPreverjeni e-poštni naslov na ismll.de
Martin WistubaAmazon Web ServicesPreverjeni e-poštni naslov na ismll.de
Nicolas SchillingUniversität HildesheimPreverjeni e-poštni naslov na ismll.de
Leandro Balby MarinhoProfessor de Ciência da Computação, Universidade Federal de Campina GrandePreverjeni e-poštni naslov na dsc.ufcg.edu.br
Nguyen Thai-NgheCan Tho UniversityPreverjeni e-poštni naslov na cit.ctu.edu.vn
Andreas HothoUniversity of WürzburgPreverjeni e-poštni naslov na informatik.uni-wuerzburg.de
Gerd StummeProfessor für Informatik, Universität Kassel & L3S Research CenterPreverjeni e-poštni naslov na cs.uni-kassel.de
Robert JäschkeProfessor of Information Processing and Analytics, Humboldt-Universität zu BerlinPreverjeni e-poštni naslov na hu-berlin.de
Tomas HorvathEdinburgh Napier UniversityPreverjeni e-poštni naslov na napier.ac.uk
Krisztian BuzaBudapest University of Economics and Business, HungaryPreverjeni e-poštni naslov na uni-bge.hu
Ahmed RashedData Scientist & Research Assistant at Information Systems and Machine Learning Lab (ISMLL)Preverjeni e-poštni naslov na ismll.de
Hadi S. JomaaUniversity of HildesheimPreverjeni e-poštni naslov na ismll.uni-hildesheim.de
Artus Krohn-GrimbergheLYTiQ GmbHPreverjeni e-poštni naslov na aisbi.de
Shayan JawedPh.D. Student, University of HildesheimPreverjeni e-poštni naslov na ismll.de
Jonas K. FalknerResearch Associate, University of HildesheimPreverjeni e-poštni naslov na ismll.de
Ernesto Diaz-AvilesCo-Founder and CEO at Libre AI & recsyslabsPreverjeni e-poštni naslov na diazaviles.com
Panagiotis SymeonidisAssociate Professor, Dept. of Inform. and Commun. Systems Engineering., University of the AegeanPreverjeni e-poštni naslov na aegean.gr

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Lars Schmidt-Thieme

University of Hildesheim, Germany

Preverjeni e-poštni naslov na ismll.uni-hildesheim.de - Domača stran

machine learning


Naslov Razvrsti po navedbah Razvrsti po letniku Razvrsti po naslovu	Navedeno Navedeno	Leto
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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