Fisher87 / ai_exploreLinks
机器学习、深度学习基础知识. 推荐系统及nlp相关算法实现
☆68Updated 2 years ago
Alternatives and similar repositories for ai_explore
Users that are interested in ai_explore are comparing it to the libraries listed below
Sorting:
- 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 6 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。☆104Updated 5 years ago
- Common Model about DeepCTR（WideDeep，DeepFM， DCN， XdeepFM）☆30Updated 8 months 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）☆91Updated 5 years ago
- 推荐系统从入门到实战☆167Updated 3 years ago
- 推荐算法学习☆39Updated 2 years ago
- LR, Wide&Deep, DCN, NFM, DeepFM, NFFM☆116Updated 6 years ago
- 1st Solution for 2019-CIKM-Analyticup: Efficient and Novel Item Retrieval for Large-scale Online Shopping Recommendation☆234Updated last year
- gbdt+lr☆160Updated 6 years ago
- YouTube推荐算法☆110Updated 3 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。☆45Updated 4 years ago
- ☆202Updated 4 months ago
- 2017“达观杯”个性化推荐算法挑战赛-rank6☆43Updated 6 years ago
- 推荐系统读书笔记、思维导图等☆40Updated 2 years ago
- 1st place solution for the AntaiCup-International-E-commerce-Artificial-Intelligence-Challenge☆186Updated 5 years ago
- 推荐系统实践(基于近邻和LFM的推荐系统)☆103Updated 7 years ago
- ☆105Updated 2 years ago
- 推荐系统相关模型 包括召回和排序☆30Updated 5 years ago
- 视频点击预测大赛-TOP1方案☆87Updated 3 years ago
- 利用lightgbm做(learning to rank)排序学习，包括数据处理、模型训练、模型决策可视化、模型可解释性以及预测等。Use LightGBM to learn ranking, including data processing, model trainin…☆268Updated 2 years ago
- 一些经典的个性化推荐算法的实现，从理论推导到实战☆68Updated 5 years ago
- 看山杯 专家发现算法大赛 baseline 0.701741036192302(没有五折验证)☆37Updated 5 years ago
- 一些CTR模型和常见特征工程的方法☆26Updated 4 years ago
- 第二届阿里巴巴大数据智能云上编程大赛-智联招聘人岗智能匹配☆68Updated 5 years ago
- 推荐系统/计算广告相关仓库，个人博客https://jesse-csj.github.io/☆290Updated 4 years ago
- 2018科大讯飞营销算法大赛（冠军方案）☆94Updated 5 years ago
- 阿里移动推荐算法比赛☆79Updated 8 years ago
- ctr、cvr预估☆49Updated 4 years ago
- ☆97Updated 3 years ago
- 存放推荐算法相关代码、文档、资料☆253Updated 4 years ago