qiusuor / recommendation_exercise
推荐算法练手项目。
☆9Updated 3 years ago
Related projects: ⓘ
- 结合开源数据集进行电影推荐。推荐算法有：逻辑回归；UserCF ; ItemCF☆15Updated 4 years ago
- 推荐系统与深度学习☆31Updated 3 years ago
- 经典推荐算法的python实现或使用，涵盖协同过滤、矩阵分解、gbdt+lr，以及Wide&Deep等深度推荐模型。☆9Updated 2 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
- 推荐算法专题总结相关代码！☆17Updated 2 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
- 基于用户的协同过滤（UserCF）与基于内容（CB）的推荐算法的后融合☆11Updated 3 years ago
- This repo deals with a Kaggle competition: Shopee - Price Match Guarantee. The purpose is to determine if two products are the same by th…☆37Updated last year
- 深度学习推荐算法☆21Updated 3 years ago
- 基于用户画像的商品推荐挑战赛Rank5☆22Updated 2 years ago
- 短视频内容理解与推荐竞赛☆81Updated 4 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 2 years ago
- ☆10Updated this week
- ☆28Updated 3 years ago
- 推荐算法学习☆38Updated last year
- Self-study - Deep learning network for CTR : FM, DeepFM, PNN, NFM, DCN, Wide&Deep, etc☆16Updated 3 years ago
- 2020腾讯广告算法大赛复赛rank11（lyu）☆27Updated 4 years ago
- Recommendation System based on python☆12Updated 4 years ago
- 2020腾讯广告算法大赛初赛rank6，复赛rank11队伍(wujie代码）☆12Updated 3 years ago
- 人人都能看懂的轻量级解决方案☆15Updated 4 years ago
- 《推荐系统实践》学习笔记☆37Updated 5 years ago
- Deep Interest Network for Click-Through Rate Prediction Deep Interest Evolution Network for Click-Through Rate Prediction☆10Updated 3 years ago
- 几种常见的工业级召回算法+示例☆11Updated 4 years ago
- ☆17Updated this week
- Hands-on Natural Language Processing, published by Dongyu☆12Updated 2 years ago
- 利用用户画像数据、物品元数据、用户行为数据为特征构建推荐系统，使用CB和CF算法做推荐召回，使用 Redis数 据库做缓存处理，结合机器学习LR算法推荐排序，达到粗排、精排效果，实现推荐 引擎搭建。☆41Updated 3 years ago
- Machine Learning and Deep Learning☆21Updated 5 years ago
- 零基础入门推荐系统 - 新闻推荐 Top2☆91Updated 3 years ago
- 推荐系统算法实践☆15Updated 4 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