# L0 Regularization of Field-Aware Factorization Machine through Ising Model

arXiv: https://arxiv.org/abs/2403.01718 · HTML: https://mlsanity.com/paper/2403.01718/

## Key facts

- No citing papers in the map yet (data through 14 Oct 2026).
- Builds on 1 of its 10 references that are in the map.
- First posted on arXiv 4 Mar 2024.

## Builds on (most cited first, 1 of 1)

- [Control of automated guided vehicles without collision by quantum annealer and digital devices](https://mlsanity.com/paper/1812.01532/) (2018)

## Abstract (arXiv)

We examined the use of the Ising model as an L0 regularization method for field-aware factorization machines (FFM). This approach improves generalization performance and has the advantage of simultaneously determining the best feature combinations for each of several groups. We can deepen the interpretation and understanding of the model from the similarities and differences in the features selected in each group.