#Paper Reading# Factorization Machines
论文题目: Factorization Machines 论文地址: https://ieeexplore.ieee.org/abstract/document/5694074 论文发表于: ICDM 2010（CCF B类会议） 论文大体内容： 本文主要介绍了FM模型，该模型相比与SVD++，PITF，FPMC等有明显的优势，同时FM模型也能学习出这几个模型的效果，是一种高效、通用、不惧稀疏的模
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相关文章
- 1. #Paper Reading# Field-aware factorization machines for CTR prediction
- 2. FM-Factorization Machines
- 3. Factorization Machines
- 4. Factorization Machines简介
- 5. 1 - Factorization Machines ( Steffen Rendle, 2010 )
- 6. Factorization Machines with libFM (2012)论文阅读
- 7. Paper-Reading
- 8. 【Paper Reading】2013CLAS Protacol Paper
- 9. #Paper Reading# DeepFM: a factorization-machine based neural network for CTR prediction
- 10. #Paper Reading# Joint Matrix Factorization and Manifold-Ranking for Topic-Focused Multi-Document Sum