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Scaling Factorization Machines to Relational Data

Summary: Exploits repeated design-matrix patterns induced by high-cardinality relational data to scale coordinate descent and Bayesian MCMC for regression and factorization machines. Matches specialized Netflix/KDDCup models while avoiding infeasible explicit matrices. (summarized by gpt-5.6-luna on Jul 24 2026)

Paper ID
h3b8831891df90faa
Venue
VLDB
Year
2013
Pagerank
0.00013448823
Overall Rank
851 | 94.30%
DOI
10.14778/2535573.248

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@article{rendle_vldb13,
        title = {{Scaling Factorization Machines to Relational Data}},
        author = {Rendle, Steffen},
        journal = {PVLDB},
        series = {{VLDB} '13},
        volume = {6},
        number = {5},
        pages = {337--348},
        doi = {10.14778/2535573.248},
        url = {https://doi.org/10.14778/2535573.248},
        year = {2013}
}

Incoming Citations (Sorted by Pagerank)

Showing 25 of 25 citing papers.

Rank Citing Paper Year Venue Pagerank
522 Learning Linear Regression Models over Factorized Joins 2016 SIGMOD 0.00016893112
731 Learning Generalized Linear Models Over Normalized Data 2015 SIGMOD 0.00014363943
848 Aggregation and Ordering in Factorised Databases 2013 VLDB 0.00013463236
1,200 Towards Linear Algebra over Normalized Data 2017 VLDB 0.00011524945
1,226 Data Management in Machine Learning: Challenges, Techniques, and Systems 2017 SIGMOD 0.00011432354
2,204 Enabling and Optimizing Non-linear Feature Interactions in Factorized Linear Algebra 2019 SIGMOD 8.8531297e-05
2,974 In-Database Learning with Sparse Tensors 2018 PODS 7.7812156e-05
3,122 Incremental View Maintenance with Triple Lock Factorization Benefits 2018 SIGMOD 7.6091671e-05
3,331 SPOOF: Sum-Product Optimization and Operator Fusion for Large-Scale Machine Learning 2017 CIDR 7.4065701e-05
3,674 Are Key-Foreign Key Joins Safe to Avoid when Learning High-Capacity Classifiers? 2018 VLDB 7.090133e-05
4,107 Differential Privacy in Telco Big Data Platform 2015 VLDB 6.7901733e-05
4,513 ARM-Net: Adaptive Relation Modeling Network for Structured Data 2021 SIGMOD 6.5532548e-05
6,474 In-Database Machine Learning with CorgiPile: Stochastic Gradient Descent without Full Data Shuffle 2022 SIGMOD 5.7555547e-05
6,654 Coresets over Multiple Tables for Feature-rich and Data-efficient Machine Learning 2023 VLDB 5.7038474e-05
7,227 WindTunnel: Towards Differentiable ML Pipelines Beyond a Single Model 2022 VLDB 5.5647576e-05
8,805 Towards A Polyglot Framework for Factorized ML 2021 VLDB 5.2581471e-05
9,245 Powering In-Database Dynamic Model Slicing for Structured Data Analytics 2024 VLDB 5.1863797e-05
9,589 Towards an Optimized GROUP BY Abstraction for Large-Scale Machine Learning 2021 VLDB 5.1377385e-05
9,889 DimBoost: Boosting Gradient Boosting Decision Tree to Higher Dimensions 2018 SIGMOD 5.1020145e-05
10,448 Faster Relational Algorithms Using Geometric Data Structures 2026 PODS 4.9605343e-05
10,471 Clustering with Set Outliers and Applications in Relational Clustering 2026 PODS 4.9605343e-05
11,550 Improved Approximation Algorithms for Relational Clustering 2024 PODS 4.9605343e-05
11,758 Regularized Pairwise Relationship based Analytics for Structured Data 2023 SIGMOD 4.9605343e-05
11,841 Demonstration of OpenDBML, a Framework for Democratizing In-Database Machine Learning 2023 VLDB 4.9605343e-05
12,458 Telco Churn Prediction with Big Data 2015 SIGMOD 4.9605343e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 0 of 0 cited papers.

Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

Rank Cited Paper Year Venue Pagerank
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