Fisher87 / ai_explore
机器学习、深度学习基础知识. 推荐系统及nlp相关算法实现
☆67Updated 2 years ago
Related projects ⓘ
Alternatives and complementary repositories for ai_explore
- 简单的实现推荐系统的召回模型和排序模型,其中召回模型使用协同过滤算法,排序模型使用gbdt+lr算法☆58Updated 5 years ago
- LR, Wide&Deep, DCN, NFM, DeepFM, NFFM☆117Updated 5 years ago
- 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。☆102Updated 4 years ago
- 自己学习推荐系统过程中用到的代码☆49Updated 5 years ago
- 推荐系统排序模型复现☆43Updated 4 years ago
- 推荐算法学习☆38Updated last year
- ☆193Updated 4 years ago
- 推荐系统读书笔记、思维导图等☆39Updated last year
- Common Model about DeepCTR(WideDeep,DeepFM, DCN, XdeepFM)☆29Updated 4 years ago
- keras implementation about Deep Interest Network☆63Updated 5 years ago
- 视频点击预测大赛-TOP1方案☆87Updated 2 years ago
- This repository provides a comprehensive implementation of a deep neural network-based recommendation system similar to YouTube's. The re…☆52Updated last month
- 一些CTR模型和常见特征工程的方法☆25Updated 3 years ago
- Solution to the Debiasing Track of KDD CUP 2020☆155Updated last year
- ☆103Updated last year
- tensorflow2.0 实现的 DeepFM,使用 Criteo 子数据集加以实践。☆29Updated 4 years ago
- 推荐系统从入门到实战☆168Updated 2 years ago
- 推荐系统实践(基于近邻和LFM的推荐系统)☆100Updated 6 years ago
- rater, recommender systems. 推荐模型,包括:DeepFM,Wide&Deep,DIN,DeepWalk,Node2Vec等模型实现,开箱即用。☆40Updated 4 years ago
- 基于科大讯飞AI营销算法比赛实现CTR深度学习方法☆45Updated 5 years ago
- 广告点击率(CTR)预测经典模型 GBDT + LR 理解与实践(附数据 + 代码)☆81Updated 4 years ago
- ctr、cvr预估☆49Updated 3 years ago
- 推荐系统相关模型 包括召回和排序☆30Updated 4 years ago
- esmm model by tensorflow keras☆64Updated 3 years ago
- KDD Cup 2020 Challenges for Modern E-Commerce Platform: Debiasing Full榜15 Half榜13☆64Updated 4 years ago
- 基于movieLen1M数据集的DSSM深度召回实验☆21Updated 3 years ago
- DeepFM for CTR prediction problem (pytorch 1.0)☆71Updated 5 years ago
- 存放推荐算法相关代码、文档、资料☆226Updated 3 years ago
- 1st Solution for 2019-CIKM-Analyticup: Efficient and Novel Item Retrieval for Large-scale Online Shopping Recommendation☆229Updated 7 months ago
- ☆171Updated 4 years ago