LeslieZhoa / My_Recommendation_System
Recommendation System based on python
☆13Updated 5 years ago
Alternatives and similar repositories for My_Recommendation_System:
Users that are interested in My_Recommendation_System are comparing it to the libraries listed below
- CIKM 2019 E-Commerce AI Challenge - 超大规模推荐之用户兴趣高效检索☆11Updated 3 years ago
- ‘京东杯’《用户对品类下的购买预测》-冠军团队‘AI你所想’解决方案☆25Updated 5 years ago
- IJCAI-18 阿里妈妈搜索广告转化预测大赛，top50方案☆13Updated 6 years ago
- 推荐系统相关模型 包括召回和排序☆30Updated 5 years ago
- 计算广告学习笔记☆24Updated 3 years ago
- RecommenderSystems: from 0 to practice. 包括推荐系统实践和深度推荐系统两部分☆17Updated 3 years ago
- 《推荐系统开发实战》代码及勘误☆60Updated 5 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☆59Updated 6 years ago
- CTR prediction models based on spark(LR，FM、XGBoost、XGBoostLR、XGBoostFM)☆35Updated 4 years ago
- 京东2019-用户对品类下店铺的购买预测(A榜单人13，B榜团队第7)☆19Updated 5 years ago
- Source Code of IJCAI-18 Alimama Sponsored Search Conversion Rate Prediction Contest☆21Updated 6 years ago
- PyTorch中文入门教程☆41Updated 7 years ago
- graph embedding spark implementation, include deepWalk, Node2Vec etc☆25Updated 4 years ago
- 2016 ccf 依据用户轨迹的商户精准营销☆18Updated 8 years ago
- implementation of factorization machine, support classification.☆20Updated 6 years ago
- CCF_大数据精准营销中搜狗用户画像挖掘☆17Updated 8 years ago
- 为天池数据竞赛写的自动化特征工程和训练工具，可以通过配置的方式从mysql数据库中生成特征。同时重新封装了数据，特征和模型，使其可以被自动化测试系统识别及调用。待完成的工作：自动化测试系统的调度关键技术。☆12Updated 9 years ago
- Contextual Recommendation Implementation for Research Purposes☆19Updated 9 months ago
- 基于用户行为的推荐算法大赛---第四名（临兵斗列）☆41Updated 8 years ago
- 阿里巴巴ESMM模型解读☆41Updated 4 years ago
- DataFountain第五届达观杯第4名方案☆12Updated 3 years ago
- 零基础学习spark，大数据学习☆46Updated 6 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
- a project about Personalization recommendation(UserCF,itemCF,LFM,Personal Rank)☆18Updated 4 years ago
- 思维误区: 用理想模型来思考复杂现实问题☆38Updated 4 years ago
- 几种常见的工业级召回算法+示例☆11Updated 4 years ago
- a solution for 2017 JData competition,rank A: 139/4240，B: 97/4240☆13Updated 7 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☆67Updated last year
- 人人都能看懂的轻量级解决方案☆15Updated 4 years ago
- ##阿里移动推荐算法竞赛 ###☆9Updated 8 years ago