helloJamest / Personalization-recommendationLinks
a project about Personalization recommendation(UserCF,itemCF,LFM,Personal Rank)
☆18Updated 5 years ago
Alternatives and similar repositories for Personalization-recommendation
Users that are interested in Personalization-recommendation are comparing it to the libraries listed below
Sorting:
- gbdt+lr☆160Updated 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。☆105Updated 5 years ago
- TIANCHI天池-OGeek算法挑战赛（亚军）☆28Updated 6 years ago
- 字节跳动短视频内容理解和推荐 Track2 Top8☆285Updated 6 years ago
- Sharing of the second-place solution in Tianchi OGeek competition.☆22Updated last year
- The Code for ICME2019 Grand Challenge: Short Video Understanding (Single Model Ranks 6th)☆91Updated 6 years ago
- xDeepFM: Combining Explicit and Implicit Feature Interactions for Recommender Systems☆129Updated 6 years ago
- [Data Castle 算法竞赛] 精品旅行服务成单预测 final rank 11☆97Updated 7 years ago
- IJCAI18-阿里妈妈广告转化率预测代码（Rank29）☆97Updated 7 years ago
- Recommender-In-Detail is a package which offers detailed implementations of state-of-the-art techniques and basic methods in recommendati…☆19Updated 6 years ago
- Tensorflow2.x implementations of CTR（LR、FM、FFM)☆72Updated 4 years ago
- 2018年腾讯广告算法大赛Rank10代码：深度部分☆67Updated 7 years ago
- 快手活跃用户预测——lctry队解决方案☆51Updated 7 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 6 years ago
- IJCAI-18 阿里妈妈搜索广告转化预测初赛方案☆74Updated 7 years ago
- 科赛 携程出行产品未来14个月销量预测 第2名☆62Updated 8 years ago
- IJCAI-18 阿里妈妈搜索广告转化预测☆53Updated 7 years ago
- 2018第二届易观算法大赛☆85Updated 6 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☆174Updated 5 years ago
- Tencent Social Ads 2017 contest rank 20☆158Updated 8 years ago
- 计算广告学习笔记☆24Updated 4 years ago
- use xgboost and lr model for text classification. xgboost is used to be a feature transform for LR☆44Updated 8 years ago
- 看山杯 专家发现算法大赛 baseline 0.701741036192302(没有五折验证)☆37Updated 6 years ago
- 2018-腾讯广告算法大赛-相似人群拓展(初赛)：10th/1563 (Top 0.64%)☆50Updated 7 years ago
- 在搜索业务下有一个场景叫实时搜索（Instance Search）,就是在用户不断输入过程中，实时返回查询结果。 此次赛题来自OPPO手机搜索排序优化的一个子场景，并做了相应的简化，意在解决query-title语义匹配的问题。简化后，本次题目内容主要为一个实时搜索场景下…☆133Updated 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☆58Updated 6 years ago
- 2018年甜橙金融杯大数据建模大赛-初赛第四-复赛线上11-决赛9-复现top1解决方案-【二分类，风控】☆75Updated 5 years ago
- 第一届腾讯社交广告算法大赛☆40Updated 8 years ago
- 甜橙金融杯复赛第六方案☆39Updated 6 years ago
- 短视频内容理解与推荐竞赛☆84Updated 5 years ago