2013
82Towards real-time collaborative filtering for big fast data. Ernesto Diaz-Aviles, Wolfgang Nejdl, Lucas Drumond, Lars Schmidt-Thieme. WWW (Companion Volume) 2013, 779-780. Web SearchBibTeXDownload
2012
81Classification of Sparse Time Series via Supervised Matrix Factorization. Josif Grabocka, Alexandros Nanopoulos, Lars Schmidt-Thieme. AAAI 2012. Web SearchBibTeXDownload
80GamRec: A Clustering Method Using Geometrical Background Knowledge for GPR Data Preprocessing. Ruth Janning, Tomás Horváth, Andre Busche, Lars Schmidt-Thieme. AIAI (1) 2012, 347-356. Web SearchBibTeXDownload
79What is happening right now ... that interests me?: online topic discovery and recommendation in twitter. Ernesto Diaz-Aviles, Lucas Drumond, Zeno Gantner, Lars Schmidt-Thieme, Wolfgang Nejdl. CIKM 2012, 1592-1596. Web SearchBibTeXDownload
78BPR: Bayesian Personalized Ranking from Implicit Feedback. Steffen Rendle, Christoph Freudenthaler, Zeno Gantner, Lars Schmidt-Thieme. CoRR (abs/1205.2618) (2012). Web SearchBibTeXDownload
77Invariant Time-Series Classification. Josif Grabocka, Alexandros Nanopoulos, Lars Schmidt-Thieme. ECML/PKDD (2) 2012, 725-740. Web SearchBibTeXDownload
76Personalized Ranking for Non-Uniformly Sampled Items. Zeno Gantner, Lucas Drumond, Christoph Freudenthaler, Lars Schmidt-Thieme. Journal of Machine Learning Research - Proceedings Track (18): 231-247 (2012). Web SearchBibTeXDownload
75GRAMOFON: General model-selection framework based on networks. Krisztian Buza, Alexandros Nanopoulos, Tomás Horváth, Lars Schmidt-Thieme. Neurocomputing (75): 163-170 (2012). Web SearchBibTeXDownload
74Real-time top-n recommendation in social streams. Ernesto Diaz-Aviles, Lucas Drumond, Lars Schmidt-Thieme, Wolfgang Nejdl. RecSys 2012, 59-66. Web SearchBibTeXDownload
73Exploiting the characteristics of matrix factorization for active learning in recommender systems. Rasoul Karimi, Christoph Freudenthaler, Alexandros Nanopoulos, Lars Schmidt-Thieme. RecSys 2012, 317-320. Web SearchBibTeXDownload
72Predicting RDF triples in incomplete knowledge bases with tensor factorization. Lucas Drumond, Steffen Rendle, Lars Schmidt-Thieme. SAC 2012, 326-331. Web SearchBibTeXDownload
71Using factorization machines for student modeling. Nguyen Thai-Nghe, Lucas Drumond, Tomás Horváth, Lars Schmidt-Thieme. UMAP Workshops 2012. Web SearchBibTeXDownload
70Factorization techniques for student performance classification and ranking. Lucas Drumond, Nguyen Thai-Nghe, Tomás Horváth, Lars Schmidt-Thieme. UMAP Workshops 2012. Web SearchBibTeXDownload
69Multi-relational matrix factorization using bayesian personalized ranking for social network data. Artus Krohn-Grimberghe, Lucas Drumond, Christoph Freudenthaler, Lars Schmidt-Thieme. WSDM 2012, 173-182. Web SearchBibTeXDownload
2011
68Active learning for aspect model in recommender systems. Rasoul Karimi, Christoph Freudenthaler, Alexandros Nanopoulos, Lars Schmidt-Thieme. CIDM 2011, 162-167. Web SearchBibTeXDownload
67IQ estimation for accurate time-series classification. Krisztian Buza, Alexandros Nanopoulos, Lars Schmidt-Thieme. CIDM 2011, 216-223. Web SearchBibTeXDownload
66Matrix and Tensor Factorization for Predicting Student Performance. Nguyen Thai-Nghe, Lucas Drumond, Tomás Horváth, Alexandros Nanopoulos, Lars Schmidt-Thieme. CSEDU (1) 2011, 69-78. Web SearchBibTeX
65Active Learning for Technology Enhanced Learning. Artus Krohn-Grimberghe, Andre Busche, Alexandros Nanopoulos, Lars Schmidt-Thieme. EC-TEL 2011, 512-518. Web SearchBibTeXDownload
64Factorization Models for Forecasting Student Performance. Nguyen Thai-Nghe, Tomás Horváth, Lars Schmidt-Thieme. EDM 2011, 11-20. Web SearchBibTeXDownload
63Fusion of Similarity Measures for Time Series Classification. Krisztian Buza, Alexandros Nanopoulos, Lars Schmidt-Thieme. HAIS (2) 2011, 253-261. Web SearchBibTeXDownload
62Fast Classification of Electrocardiograph Signals via Instance Selection. Krisztian Buza, Alexandros Nanopoulos, Lars Schmidt-Thieme, Julia Koller. HISB 2011, 9-16. Web SearchBibTeXDownload
61Personalized Forecasting Student Performance. Nguyen Thai-Nghe, Tomás Horváth, Lars Schmidt-Thieme. ICALT 2011, 412-414. Web SearchBibTeXDownload
60Towards Optimal Active Learning for Matrix Factorization in Recommender Systems. Rasoul Karimi, Christoph Freudenthaler, Alexandros Nanopoulos, Lars Schmidt-Thieme. ICTAI 2011, 1069-1076. Web SearchBibTeXDownload
59Scalable Event-Based Clustering of Social Media Via Record Linkage Techniques. Timo Reuter, Philipp Cimiano, Lucas Drumond, Krisztian Buza, Lars Schmidt-Thieme. ICWSM 2011. Web SearchBibTeXDownload
58A new evaluation measure for learning from imbalanced data. Nguyen Thai-Nghe, Zeno Gantner, Lars Schmidt-Thieme. IJCNN 2011, 537-542. Web SearchBibTeXDownload
57Non-myopic active learning for recommender systems based on Matrix Factorization. Rasoul Karimi, Christoph Freudenthaler, Alexandros Nanopoulos, Lars Schmidt-Thieme. IRI 2011, 299-303. Web SearchBibTeXDownload
56INSIGHT: Efficient and Effective Instance Selection for Time-Series Classification. Krisztian Buza, Alexandros Nanopoulos, Lars Schmidt-Thieme. PAKDD (2) 2011, 149-160. Web SearchBibTeXDownload
55Social Tagging Recommender Systems. Leandro Balby Marinho, Alexandros Nanopoulos, Lars Schmidt-Thieme, Robert Jäschke, Andreas Hotho, Gerd Stumme, Panagiotis Symeonidis. Recommender Systems Handbook 2011, 615-644. Web SearchBibTeXDownload
54MyMediaLite: a free recommender system library. Zeno Gantner, Steffen Rendle, Christoph Freudenthaler, Lars Schmidt-Thieme. RecSys 2011, 305-308. Web SearchBibTeXDownload
53Fast context-aware recommendations with factorization machines. Steffen Rendle, Zeno Gantner, Christoph Freudenthaler, Lars Schmidt-Thieme. SIGIR 2011, 635-644. Web SearchBibTeXDownload
2010
52Time-Series Classification Based on Individualised Error Prediction. Krisztian Buza, Alexandros Nanopoulos, Lars Schmidt-Thieme. CSE 2010, 48-54. Web SearchBibTeXDownload
51Integrating OLAP and recommender systems: an evaluation perspective. Artus Krohn-Grimberghe, Alexandros Nanopoulos, Lars Schmidt-Thieme. DOLAP 2010, 85-92. Web SearchBibTeXDownload
50Individualized Error Estimation for Classification and Regression Models. Krisztian Buza, Alexandros Nanopoulos, Lars Schmidt-Thieme. GfKl 2010, 183-191. Web SearchBibTeXDownload
49Graph-Based Model-Selection Framework for Large Ensembles. Krisztian Buza, Alexandros Nanopoulos, Lars Schmidt-Thieme. HAIS (1) 2010, 557-564. Web SearchBibTeXDownload
48Learning Attribute-to-Feature Mappings for Cold-Start Recommendations. Zeno Gantner, Lucas Drumond, Christoph Freudenthaler, Steffen Rendle, Lars Schmidt-Thieme. ICDM 2010, 176-185. Web SearchBibTeXDownload
47Cost-sensitive learning methods for imbalanced data. Nguyen Thai-Nghe, Zeno Gantner, Lars Schmidt-Thieme. IJCNN 2010, 1-8. Web SearchBibTeXDownload
46Semi-supervised Tag Recommendation - Using Untagged Resources to Mitigate Cold-Start Problems. Christine Preisach, Leandro Balby Marinho, Lars Schmidt-Thieme. PAKDD (1) 2010, 348-357. Web SearchBibTeXDownload
45Recommender system for predicting student performance. Nguyen Thai-Nghe, Lucas Drumond, Artus Krohn-Grimberghe, Lars Schmidt-Thieme. Procedia CS (1): 2811-2819 (2010). Web SearchBibTeXDownload
44Workshop on user-centric evaluation of recommender systems and their interfaces. Bart P. Knijnenburg, Lars Schmidt-Thieme, Dirk G. F. M. Bollen. RecSys 2010, 383-384. Web SearchBibTeXDownload
43Pairwise interaction tensor factorization for personalized tag recommendation. Steffen Rendle, Lars Schmidt-Thieme. WSDM 2010, 81-90. Web SearchBibTeXDownload
42Factorizing personalized Markov chains for next-basket recommendation. Steffen Rendle, Christoph Freudenthaler, Lars Schmidt-Thieme. WWW 2010, 811-820. Web SearchBibTeXDownload
2009
41Swarming to rank for information retrieval. Ernesto Diaz-Aviles, Wolfgang Nejdl, Lars Schmidt-Thieme. GECCO 2009, 9-16. Web SearchBibTeXDownload
40Cross-tagging for personalized open social networking. Avare Stewart, Ernesto Diaz-Aviles, Wolfgang Nejdl, Leandro Balby Marinho, Alexandros Nanopoulos, Lars Schmidt-Thieme. Hypertext 2009, 271-278. Web SearchBibTeXDownload
39Improving Academic Performance Prediction by Dealing with Class Imbalance. Nguyen Thai-Nghe, Andre Busche, Lars Schmidt-Thieme. ISDA 2009, 878-883. Web SearchBibTeXDownload
38Learning optimal ranking with tensor factorization for tag recommendation. Steffen Rendle, Leandro Balby Marinho, Alexandros Nanopoulos, Lars Schmidt-Thieme. KDD 2009, 727-736. Web SearchBibTeXDownload
37Learning to Extract Relations for Relational Classification. Steffen Rendle, Christine Preisach, Lars Schmidt-Thieme. PAKDD 2009, 1062-1071. Web SearchBibTeXDownload
36BPR: Bayesian Personalized Ranking from Implicit Feedback. Steffen Rendle, Christoph Freudenthaler, Zeno Gantner, Lars Schmidt-Thieme. UAI 2009, 452-461. Web SearchBibTeXDownload
35Optimal Ranking for Video Recommendation. Zeno Gantner, Christoph Freudenthaler, Steffen Rendle, Lars Schmidt-Thieme. UCMedia 2009, 255-258. Web SearchBibTeXDownload
2008
34Tag recommendations in social bookmarking systems. Robert Jäschke, Leandro Balby Marinho, Andreas Hotho, Lars Schmidt-Thieme, Gerd Stumme. AI Commun. (21): 231-247 (2008). Web SearchBibTeXDownload
33Emergence of Spontaneous Order Through Neighborhood Formation in Peer-to-Peer Recommender Systems. Ernesto Diaz-Aviles, Lars Schmidt-Thieme, Cai-Nicolas Ziegler. CoRR (abs/0812.4460) (2008). Web SearchBibTeXDownload
32Motif-Based Classification of Time Series with Bayesian Networks and SVMs. Krisztian Buza, Lars Schmidt-Thieme. GfKl 2008, 105-114. Web SearchBibTeXDownload
31Active Learning of Equivalence Relations by Minimizing the Expected Loss Using Constraint Inference. Steffen Rendle, Lars Schmidt-Thieme. ICDM 2008, 1001-1006. Web SearchBibTeXDownload
30Folksonomy-Based Collabulary Learning. Leandro Balby Marinho, Krisztian Buza, Lars Schmidt-Thieme. International Semantic Web Conference 2008, 261-276. Web SearchBibTeXDownload
29Ensembles of relational classifiers. Christine Preisach, Lars Schmidt-Thieme. Knowl. Inf. Syst. (14): 249-272 (2008). Web SearchBibTeXDownload
28Scaling Record Linkage to Non-uniform Distributed Class Sizes. Steffen Rendle, Lars Schmidt-Thieme. PAKDD 2008, 308-319. Web SearchBibTeXDownload
27Online-updating regularized kernel matrix factorization models for large-scale recommender systems. Steffen Rendle, Lars Schmidt-Thieme. RecSys 2008, 251-258. Web SearchBibTeXDownload
26Tag-aware recommender systems by fusion of collaborative filtering algorithms. Karen H. L. Tso-Sutter, Leandro Balby Marinho, Lars Schmidt-Thieme. SAC 2008, 1995-1999. Web SearchBibTeXDownload
2007
25Supporting collaborative hierarchical classification: Bookmarks as an example. Dominik Benz, Karen H. L. Tso, Lars Schmidt-Thieme. Computer Networks (51): 4574-4585 (2007). Web SearchBibTeXDownload
24Collaborative Tag Recommendations. Leandro Balby Marinho, Lars Schmidt-Thieme. GfKl 2007, 533-540. Web SearchBibTeXDownload
23Information Integration of Partially Labeled Data. Steffen Rendle, Lars Schmidt-Thieme. GfKl 2007, 171-179. Web SearchBibTeXDownload
22Comparison of Recommender System Algorithms Focusing on the New-item and User-bias Problem. Stefan Hauger, Karen H. L. Tso, Lars Schmidt-Thieme. GfKl 2007, 525-532. Web SearchBibTeXDownload
21Combining multi-distributed mixture models and bayesian networks for semi-supervised learning. Manuel Stritt, Lars Schmidt-Thieme, Gerhard Poeppel. ICMLA 2007, 354-362. Web SearchBibTeXDownload
20Guest Editors' Introduction: Recommender Systems. Alexander Felfernig, Gerhard Friedrich, Lars Schmidt-Thieme. IEEE Intelligent Systems (22): 18-21 (2007). Web SearchBibTeXDownload
19Tag Recommendations in Folksonomies. Robert Jäschke, Leandro Balby Marinho, Andreas Hotho, Lars Schmidt-Thieme, Gerd Stumme. LWA 2007, 13-20. Web SearchBibTeX
2006
18Ideas and Improvements for Semantic Wikis. Jochen Fischer, Zeno Gantner, Steffen Rendle, Manuel Stritt, Lars Schmidt-Thieme. ESWC 2006, 650-663. Cited by 10Web SearchBibTeXDownload
17Attribute Aware Anonymous Recommender Systems. Manuel Stritt, Karen H. L. Tso, Lars Schmidt-Thieme. GfKl 2006, 497-504. Web SearchBibTeXDownload
16Object Identification with Constraints. Steffen Rendle, Lars Schmidt-Thieme. ICDM 2006, 1026-1031. Web SearchBibTeXDownload
15Relational Ensemble Classification. Christine Preisach, Lars Schmidt-Thieme. ICDM 2006, 499-509. Web SearchBibTeXDownload
14Empirical Analysis of Attribute-Aware Recommender System Algorithms Using Synthetic Data. Karen H. L. Tso, Lars Schmidt-Thieme. JCP (1): 18-29 (2006). Web SearchBibTeXDownload
13Evaluation of Attribute-Aware Recommender System Algorithms on Data with Varying Characteristics. Karen H. L. Tso, Lars Schmidt-Thieme. PAKDD 2006, 831-840. Web SearchBibTeXDownload
12A Bottom-up approach to Grid-Computing at a University: the Black-Forest-Grid Initiative. Rolf Backofen, Hans-Gunther Borrmann, Werner Deck, Andreas Dedner, Luc De Raedt, Klaus Desch, Markus Diesmann, Martin Geier, Andreas Greiner, Wolfgang R. Hess, Josef Honerkamp, Stefan Jankowski, Ingo Krossing, Andreas W. Liehr, Andreas Karwath, Robert Klöfkorn, Raphaël Pesché, Tobias C. Potjans, Michael C. Röttger, Lars Schmidt-Thieme, Gerhard Schneider, Björn Voß, Bernd Wiebelt, Peter Wienemann, Volker-Henning Winterer. Praxis der Informationsverarbeitung und Kommunikation (29): 81-87 (2006). Web SearchBibTeXDownload
2005
11Collaborative and Usage-Driven Evolution of Personal Ontologies. Peter Haase, Andreas Hotho, Lars Schmidt-Thieme, York Sure. ESWC 2005, 486-499. Web SearchBibTeXDownload
10Ontology-Based Query Refinement for Semantic Portals. Jens Hartmann, Nenad Stojanovic, Rudi Studer, Lars Schmidt-Thieme. From Integrated Publication and Information Systems to Virtual Information and Knowledge Environments 2005, 41-50. Web SearchBibTeXDownload
9Attribute-aware Collaborative Filtering. Karen H. L. Tso, Lars Schmidt-Thieme. GfKl 2005, 614-621. Web SearchBibTeXDownload
8Fachinformationssystem Informatik (FIS-I) und Semantische Technologien für Informationsportale (SemIPort). Peter Fankhauser, Norbert Fuhr, Jens Hartmann, Anthony Jameson, Claus-Peter Klas, Stefan Klink, Agnes Koschmider, Sascha Kriewel, Patrick Lehti, Peter Luksch, Ernst W. Mayr, Andreas Oberweis, Paul Ortyl, Stefan Pfingstl, Patrick Reuther, Ute Rusnak, Guido Sautter, Klemens Böhm, André Schaefer, Lars Schmidt-Thieme, Eric Schwarzkopf, Nenad Stojanovic, Rudi Studer, Roland Vollmar, Bernd Walter, Alexander Weber. GI Jahrestagung (2) 2005, 698-712. Web SearchBibTeX
7Compound Classification Models for Recommender Systems. Lars Schmidt-Thieme. ICDM 2005, 378-385. Web SearchBibTeXDownload
6Collaborative and Usage-driven Evolution of Personal Ontologies. Peter Haase, Andreas Hotho, Lars Schmidt-Thieme, York Sure. LWA 2005, 151-157. Web SearchBibTeX
5The Relation of Closed Itemset Mining, Complete Pruning Strategies and Item Ordering in Apriori-Based FIM Algorithms. Ferenc Bodon, Lars Schmidt-Thieme. PKDD 2005, 437-444. Web SearchBibTeXDownload
2004
4Taxonomy-driven computation of product recommendations. Cai-Nicolas Ziegler, Georg Lausen, Lars Schmidt-Thieme. CIKM 2004, 406-415. Web SearchBibTeXDownload
3Algorithmic Features of Eclat. Lars Schmidt-Thieme. FIMI 2004. Web SearchBibTeXDownload
2Reservation Price Estimation by Adaptive Conjoint Analysis. Christoph Breidert, Michael Hahsler, Lars Schmidt-Thieme. GfKl 2004, 569-576. Web SearchBibTeXDownload
2001
1Mining Generalized Association Rules for Sequential and Path Data. Wolfgang Gaul, Lars Schmidt-Thieme. ICDM 2001, 593-596. Web SearchBibTeXDownload
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