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Steffen Rendle
Steffen Rendle
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Tytuł
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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
68532012
Factorization machines
S Rendle
2010 IEEE International conference on data mining, 995-1000, 2010
33392010
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
23972010
Advances in collaborative filtering
Y Koren, S Rendle, R Bell
Recommender systems handbook, 91-142, 2021
19242021
Factorization machines with libfm
S Rendle
ACM Transactions on Intelligent Systems and Technology (TIST) 3 (3), 1-22, 2012
15532012
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
8602010
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
7212011
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
5242011
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
4652009
Improving pairwise learning for item recommendation from implicit feedback
S Rendle, C Freudenthaler
Proceedings of the 7th ACM international conference on Web search and data …, 2014
4272014
On sampled metrics for item recommendation
W Krichene, S Rendle
Proceedings of the 26th ACM SIGKDD international conference on knowledge …, 2020
4212020
Neural collaborative filtering vs. matrix factorization revisited
S Rendle, W Krichene, L Zhang, J Anderson
Proceedings of the 14th ACM Conference on Recommender Systems, 240-248, 2020
4082020
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
3912010
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
3122008
A generic coordinate descent framework for learning from implicit feedback
I Bayer, X He, B Kanagal, S Rendle
Proceedings of the 26th international conference on world wide web, 1341-1350, 2017
2572017
On the difficulty of evaluating baselines: A study on recommender systems
S Rendle, L Zhang, Y Koren
arXiv preprint arXiv:1905.01395, 2019
1362019
Scaling factorization machines to relational data
S Rendle
Proceedings of the VLDB Endowment 6 (5), 337-348, 2013
1352013
Factorization models for context-/time-aware movie recommendations
Z Gantner, S Rendle, L Schmidt-Thieme
Proceedings of the workshop on context-aware movie recommendation, 14-19, 2010
1162010
Adaptive sampled softmax with kernel based sampling
G Blanc, S Rendle
International conference on machine learning, 590-599, 2018
792018
Predicting RDF triples in incomplete knowledge bases with tensor factorization
L Drumond, S Rendle, L Schmidt-Thieme
Proceedings of the 27th Annual ACM Symposium on Applied Computing, 326-331, 2012
702012
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