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Lars Schmidt-Thieme
Lars Schmidt-Thieme
University of Hildesheim, Germany
Bestätigte E-Mail-Adresse bei ismll.uni-hildesheim.de - Startseite
Titel
Zitiert von
Zitiert von
Jahr
BPR: Bayesian personalized ranking from implicit feedback
S Rendle, C Freudenthaler, Z Gantner, L Schmidt-Thieme
arXiv preprint arXiv:1205.2618, 2012
59932012
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
20542010
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
8432010
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
7392007
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
6792011
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
5192008
Learning time-series shapelets
J Grabocka, N Schilling, M Wistuba, L Schmidt-Thieme
Proceedings of the 20th ACM SIGKDD international conference on Knowledge …, 2014
5122014
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
5092011
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
4662009
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
3742010
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
3672010
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
3522010
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
310*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
3092008
Taxonomy-driven computation of product recommendations
CN Ziegler, G Lausen, L Schmidt-Thieme
Proceedings of the thirteenth ACM international conference on Information …, 2004
2882004
Tag recommendations in social bookmarking systems
R Jäschke, L Marinho, A Hotho, L Schmidt-Thieme, G Stumme
Ai Communications 21 (4), 231-247, 2008
2692008
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
2182012
Beyond manual tuning of hyperparameters
F Hutter, J Lücke, L Schmidt-Thieme
KI-Künstliche Intelligenz 29, 329-337, 2015
2142015
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
1972012
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
1682008
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