Arecobaleno / recommand-system-book-project
codes from the book “推荐系统开发实战”
☆10Updated 4 years ago
Related projects: ⓘ
- 推荐系统相关模型 包括召回和排序☆29Updated 4 years ago
- 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☆55Updated 5 years ago
- ☆15Updated 3 years ago
- 2017“达观杯”个性化推荐算法挑战赛-rank6☆43Updated 5 years ago
- 基于wide deep模型的CTR预估,从训练到部署☆15Updated 5 years ago
- 2018科大讯飞AI营销算法大赛模型方案☆22Updated 5 years ago
- ☆17Updated this week
- 数据科学竞赛各种baseline代码、思路分享☆9Updated 4 years ago
- 讯飞移动广告反欺诈算法竞赛☆31Updated 4 years ago
- 看山杯 专家发现算法大赛 baseline 0.701741036192302(没有五折验证)☆37Updated 4 years ago
- 推荐系统实战☆33Updated 4 years ago
- ☆17Updated 5 years ago
- Kaggle 项目实战(教程) = 文档 + 代码 + 视频(欢迎参与)☆10Updated 5 years ago
- A simple start for collaborative filtering.☆18Updated 3 years ago
- 人工智能社会保险反欺诈分析☆30Updated 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
- 京东JDATA2019-用户对品类下店铺的购买预测☆17Updated 5 years ago
- 人工智能工程师直通车第三期 实战项目:广告点击率预测(CTR)。预测用户浏览给定网页的广告点击率,提高广告投放精准度。☆22Updated 6 years ago
- 华为_DigiX_算法精英大赛——人口年龄属性预测_ Rank14 方案☆31Updated 5 years ago
- ##阿里移动推荐算法竞赛 ###☆9Updated 7 years ago
- 《推荐系统开发实战》代码及勘误☆58Updated 4 years ago
- 推荐算法学习☆38Updated last year
- RecommenderSystems: from 0 to practice. 包括推荐系统实践和深度推荐系统两部分☆17Updated 2 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。☆101Updated 4 years ago
- 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
- use xgboost and lr model for text classification. xgboost is used to be a feature transform for LR☆44Updated 6 years ago
- 复盘所有NLP比赛的TOP方案,只关注NLP比赛,持续更新中!☆47Updated 5 years ago
- 推荐系统算法实践☆15Updated 4 years ago
- Common Model about DeepCTR(WideDeep,DeepFM, DCN, XdeepFM)☆29Updated 4 years ago
- 2019年知乎看山杯专家发现算法大赛第六名完整解决方案☆39Updated 4 years ago