”deepfm“ 的搜索结果

Tensorflow implementation of DeepFM for CTR prediction.

CTR prediction using FM FFM and DeepFM

A PyTorch implementation of DeepFM for CTR prediction problem.

A simple DeepFM.

Code accompanying the paper "Deep reinforcement learning for multiparameter optimization in de novo drug design"

Implementation of DeepFM using tensorflow.

The framework to deal with ctr problem。The project contains FNN,PNN,DEEPFM, NFM etc

DeepFM for CTR prediction problem （pytorch 1.0）

LR, Wide&Deep, DCN, NFM, DeepFM, NFFM

4th Place Solution for Mercari Price Suggestion Competition on Kaggle using DeepFM variant.

A developing recommender system in tensorflow2. Algorithm: UserCF, ItemCF, LFM, SLIM, GMF, MLP, NeuMF, FM, DeepFM, MKR, RippleNet, KGCN and so on.

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）

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。

练习下用pytorch来复现下经典的推荐系统模型, 如MF, FM, DeepConn, MMOE, PLE, DeepFM, NFM, DCN, AFM, AutoInt, ONN, FiBiNET, DCN-v2, AFN, DCAP等

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