GavinHacker / recsys_core
[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).
☆303Updated 3 years ago
Alternatives and similar repositories for recsys_core:
Users that are interested in recsys_core are comparing it to the libraries listed below
- 一个简单的电影推荐系统☆233Updated 2 years ago
- 推荐系统☆789Updated 5 years ago
- 推荐系统实践(基于近邻和LFM的推荐系统)☆100Updated 6 years ago
- 推荐系统实例☆789Updated 6 years ago
- UserCF和ItemCF协同过滤推荐算法的实现☆537Updated 3 years ago
- 图书推荐系统，基于商品的协同过滤算法实现☆300Updated 4 years ago
- 项亮的《推荐系统实践》的代码实现☆487Updated 4 years ago
- 基于MovieLens-1M数据集实现的协同过滤算法demo☆379Updated 6 years ago
- 推荐系统从入门到实战☆168Updated 3 years ago
- 电影推荐系统、电影推荐引擎、使用Spark完成的电影推荐引擎☆117Updated 6 years ago
- Python 3.6 下的推荐算法解析， 尽量使用简单的语言剖析原理，相似度度量、协同过滤、矩阵分解等☆104Updated 6 years ago
- 一些传统推荐算法的实现，包括基于内容的推荐，协同过滤，矩阵分解☆292Updated 7 years ago
- 阅读过的推荐系统论文的归类总结，持续更新中…☆378Updated 6 years ago
- 《推荐系统实践》代码实现☆721Updated 6 years ago
- 推荐系统资料笔记收录/ Everything about Recommendation System. 专题/书籍/论文/产品/Demo☆172Updated 4 years ago
- 本项目使用两种算法来实现一个电影推荐系统，一个是CNN，另一个是矩阵分解的协同过滤。☆133Updated 6 years ago
- 推荐系统学习资料、源码、及读书笔记☆132Updated 6 years ago
- 卷积神经网络（CNN）提取影评特征构建电影推荐系统，pytorch实现☆128Updated 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☆68Updated 4 years ago
- Book recommender system using collaborative filtering based on Spark☆378Updated 7 years ago
- 阿里移动推荐算法☆126Updated 6 years ago
- 字节跳动短视频内容理解和推荐 Track2 Top8☆279Updated 5 years ago
- Learning notes of Machine Learn & Deep Learning☆12Updated 6 years ago
- 分别基于协同过滤算法和基于TensorFlow建立推荐系统☆43Updated 6 years ago
- A pure Python implement of Collaborative Filtering based on MovieLens' dataset.☆188Updated 5 years ago
- Spark SQL 实现 ItemCF，UserCF，Swing，推荐系统，推荐算法，协同过滤☆137Updated 5 years ago
- 推荐系统论文☆23Updated 5 years ago
- 《推荐系统开发实战》代码及勘误☆59Updated 5 years ago
- A practical movie recommend project based on Item2vec.☆281Updated 4 years ago
- 实现的基于user和item的协同过滤算法☆51Updated 11 years ago