Steffen Rendle

16.3k total citations · 6 hit papers
32 papers, 6.9k citations indexed

About

Steffen Rendle is a scholar working on Information Systems, Artificial Intelligence and Management Science and Operations Research. According to data from OpenAlex, Steffen Rendle has authored 32 papers receiving a total of 6.9k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Information Systems, 16 papers in Artificial Intelligence and 14 papers in Management Science and Operations Research. Recurrent topics in Steffen Rendle's work include Recommender Systems and Techniques (25 papers), Advanced Bandit Algorithms Research (12 papers) and Tensor decomposition and applications (7 papers). Steffen Rendle is often cited by papers focused on Recommender Systems and Techniques (25 papers), Advanced Bandit Algorithms Research (12 papers) and Tensor decomposition and applications (7 papers). Steffen Rendle collaborates with scholars based in Germany, United States and Japan. Steffen Rendle's co-authors include Lars Schmidt-Thieme, Christoph Freudenthaler, Zeno Gantner, Walid Krichene, Αλέξανδρος Νανόπουλος, Leandro Balby Marinho, Lucas Drumond, Xiangnan He, Bhargav Kanagal and Yehuda Koren and has published in prestigious journals such as Communications of the ACM, Proceedings of the VLDB Endowment and ACM Transactions on Intelligent Systems and Technology.

In The Last Decade

Steffen Rendle

32 papers receiving 6.6k citations

Hit Papers

5 papers align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Factorization Machines

2010 1.8k citations Steffen Rendle profile →
Factorizing personalized Markov chains for next-basket recommendation

2010 1.6k citations Steffen Rendle, Christoph Freudenthaler et al. profile →
Factorization Machines with libFM

2012 878 citations Steffen Rendle profile →
Pairwise interaction tensor factorization for personalized tag recommendation

2010 436 citations Steffen Rendle, Lars Schmidt-Thieme profile →
Fast context-aware recommendations with factorization machines

2011 376 citations Steffen Rendle, Zeno Gantner et al. profile →
On Sampled Metrics for Item Recommendation

2020 265 citations Walid Krichene, Steffen Rendle profile →

Peers

Countries citing papers authored by Steffen Rendle

Since Specialization

Citations

This map shows the geographic impact of Steffen Rendle's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Steffen Rendle with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Steffen Rendle more than expected).

Fields of papers citing papers by Steffen Rendle

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Steffen Rendle. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Steffen Rendle. The network helps show where Steffen Rendle may publish in the future.

Co-authorship network of co-authors of Steffen Rendle

This figure shows the co-authorship network connecting the top 25 collaborators of Steffen Rendle. A scholar is included among the top collaborators of Steffen Rendle based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Steffen Rendle. Steffen Rendle is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

#	Work	Indexed citations
1	Efficient Optimization of Sparse User Encoder Recommenders 2024 ·Steffen Rendle	1
2	Revisiting the Performance of iALS on Item Recommendation Benchmarks 2022 ·Steffen Rendle, Walid Krichene, Li Zhang, Yehuda Koren	24
3	On Sampled Metrics for Item Recommendation (Extended Abstract) 2021 ·Walid Krichene, Steffen Rendle	8
4	Rankmax: An Adaptive Projection Alternative to the Softmax Function 2020 ·Neural Information Processing Systems ·(unknown), Walid Krichene, (unknown), Steffen Rendle, Li Zhang	5
5	On Sampled Metrics for Item Recommendation breakdown → 2020 ·Walid Krichene, Steffen Rendle	265
6	Robust Large-Scale Machine Learning in the Cloud 2016 ·Steffen Rendle, Dennis Fetterly, Eugene J. Shekita, Bor-Yiing Su	10
7	Improving pairwise learning for item recommendation from implicit feedback 2014 ·Steffen Rendle, Christoph Freudenthaler	249
8	Factor Models for Recommending Given Names 2013 ·(unknown), Steffen Rendle	2
9	Social Network and Click-through Prediction with Factorization Machines 2012 ·Knowledge Discovery and Data Mining ·Steffen Rendle	26
10	Learning recommender systems with adaptive regularization 2012 ·Steffen Rendle	29
11	Fast context-aware recommendations with factorization machines breakdown → 2011 ·Steffen Rendle, Zeno Gantner, Christoph Freudenthaler, Lars Schmidt-Thieme	376
12	Factorizing Markov Models for Categorical Time Series Prediction 2011 ·AIP conference proceedings ·Christoph Freudenthaler, Steffen Rendle, Lars Schmidt-Thieme, Theodore E. Simos, George Psihoyios, Ch. Tsitouras, Zacharias Anastassi	1
13	MyMediaLite 2011 ·Zeno Gantner, Steffen Rendle, Christoph Freudenthaler, Lars Schmidt-Thieme	260
14	Factorization Machines breakdown → 2010 ·Steffen Rendle	1753
15	Context-Aware Ranking with Factorization Models 2010 ·Studies in computational intelligence ·Steffen Rendle	18
16	Pairwise interaction tensor factorization for personalized tag recommendation breakdown → 2010 ·Steffen Rendle, Lars Schmidt-Thieme	436
17	Factorization models for context-/time-aware movie recommendations 2010 ·Zeno Gantner, Steffen Rendle, Lars Schmidt-Thieme	52
18	Factor models for tag recommendation in bibsonomy 2009 ·Steffen Rendle, Lars Schmidt-Thieme	21
19	Active Learning of Equivalence Relations by Minimizing the Expected Loss Using Constraint Inference 2008 ·Steffen Rendle, Lars Schmidt-Thieme	4
20	Object Identification with Constraints 2006 ·Steffen Rendle, Lars Schmidt-Thieme	11

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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