”xdeepfm“ 的搜索结果

xDeepFM: Combining Explicit and Implicit Feature Interactions for Recommender Systems

#计算机科学#【PyTorch】Easy-to-use,Modular and Extendible package of deep-learning based CTR models.

翻译 - 【PyTorch】基于深度学习的CTR模型的易于使用，模块化和可扩展的软件包。

Common Model about DeepCTR（WideDeep，DeepFM， DCN， XdeepFM）

Here are the models listed in CTR. Example: FM、DeepFM、xDeepFM etc.

Implements of Awesome RecSystem Models with PyTorch/TF2.0

一些经典的CTR算法的复现; LR, FM, FFM, AFM, DeepFM, xDeepFM, PNN, DCN, DCNv2, DIFM, AutoInt, FiBiNet,AFN,ONN,DIN, DIEN ... （pytorch, tf2.0）

some ctr model, implemented by PyTorch, such as Factorization Machines, Field-aware Factorization Machines, DeepFM, xDeepFM, Deep Interest Network

LR, FM, DeepFM, xDeepFM, DIN, CF等推荐算法代码demo。采用TFRecords作为输入，方便实际场景应用。

🐮首创性地运用Transformer+XDEEPFM预测中国A股单只股票每天的涨跌幅！

AlitaNet: A click through rate (ctr) prediction deep learning Network implementation with TensorFlow, including LR, FM, AFM, Wide&Deep, DeepFM, xDeepFM, AutoInt, FiBiNet, LS-PLM, DCN, etc.

源于飞桨生态的搜索推荐模型 一站式开箱即用工具，适合初学者，开发者，研究者的推荐系统全流程解决方案。包含内容理解、匹配、召回、排序、 多任务、重排序等多个任务的完整推荐搜索算法库

在PyTorch上重构xDeepFM。为节约时间，略去了神经网络和逻辑斯蒂回归部分，二者如何实现可参考本人写的DeepFM：https://github.com/SukerZ/DeepFM-on-PyTorch