cz95 / rec_system
推荐系统，内含主流模型，不定期更新模型
☆26Updated 5 years ago
Related projects ⓘ
Alternatives and complementary repositories for rec_system
- 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☆59Updated 5 years ago
- 推荐系统从入门到实战☆168Updated 2 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）☆82Updated 4 years ago
- 推荐系统实践(基于近邻和LFM的推荐系统)☆100Updated 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。☆102Updated 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
- 2018、2019 腾讯广告算法大赛/2018IJCAI 阿里妈妈搜索广告转化预测竞赛/讯飞广告营销算法/OGeek☆166Updated 4 years ago
- 2018科大讯飞营销算法大赛（冠军方案）☆92Updated 5 years ago
- 阿里移动推荐算法比赛☆73Updated 7 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☆66Updated 4 years ago
- 推荐系统/计算广告相关仓库，个人博客https://jesse-csj.github.io/☆284Updated 3 years ago
- LR, Wide&Deep, DCN, NFM, DeepFM, NFFM☆116Updated 5 years ago
- 存放推荐算法相关代码、文档、资料☆226Updated 3 years ago
- IJCAI18-阿里妈妈广告转化率预测代码（Rank29）☆95Updated 6 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
- 自己学习推荐系统过程中用到的代码☆49Updated 5 years ago
- 2017“达观杯”个性化推荐算法挑战赛-rank6☆43Updated 5 years ago
- Spark SQL 实现 ItemCF，UserCF，Swing，推荐系统，推荐算法，协同过滤☆135Updated 4 years ago
- Common Model about DeepCTR（WideDeep，DeepFM， DCN， XdeepFM）☆29Updated 4 years ago
- 推荐系统相关模型 包括召回和排序☆30Updated 4 years ago
- 1st Solution for 2019-CIKM-Analyticup: Efficient and Novel Item Retrieval for Large-scale Online Shopping Recommendation☆229Updated 7 months ago
- A simple DeepFM.☆101Updated 6 years ago
- gbdt+lr☆158Updated 5 years ago
- 2018-CCF大数据与计算智能大赛-面向电信行业存量用户的智能套餐个性化匹配模型联通赛-复赛第二名-【多分类，embedding】☆338Updated 5 years ago
- ☆213Updated 4 years ago
- 零售电商客户流失模型，基于tensorflow，xgboost4j-spark，spark-ml实现LR，FM，GBDT，RF，进行模型效果对比，离线/在线部署方式总结☆66Updated last year
- 基于RFM和决策树模型构建专家推荐系统。融合了RFM模型和决策树模型，结合专业运营人员的业务经营，发掘潜在用户，进行推荐营销召回。☆84Updated 6 months ago
- [推荐系统] Based on the scoring data set, the recommendation system is built with FM and LR as the core(基于评分数据集，构建以FM和LR为核心的推荐系统).☆304Updated 2 years ago
- This is a kaggle challenge project called Display Advertising Challenge by CriteoLabs at 2014.这是2014年由CriteoLabs在kaggle上发起的广告点击率预估挑战项目。☆358Updated 5 years ago
- 《推荐系统开发实战》代码及勘误☆59Updated 4 years ago