arXiv Open Access 2022

An Introduction to Matrix factorization and Factorization Machines in Recommendation System, and Beyond

Yuefeng Zhang

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Abstrak

This paper aims at a better understanding of matrix factorization (MF), factorization machines (FM), and their combination with deep algorithms' application in recommendation systems. Specifically, this paper will focus on Singular Value Decomposition (SVD) and its derivations, e.g Funk-SVD, SVD++, etc. Step-by-step formula calculation and explainable pictures are displayed. What's more, we explain the DeepFM model in which FM is assisted by deep learning. Through numerical examples, we attempt to tie the theory to real-world problems.

Topik & Kata Kunci

cs.IR cs.LG

Penulis (1)

Yuefeng Zhang

Format Sitasi

APA MLA BibTeX

Zhang, Y. (2022). An Introduction to Matrix factorization and Factorization Machines in Recommendation System, and Beyond. https://arxiv.org/abs/2203.11026

Akses Cepat

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Informasi Jurnal

Tahun Terbit: 2022
Bahasa: en
Sumber Database: arXiv
Akses: Open Access ✓