Lockvictor / MovieLens-RecSysLinks
基于MovieLens-1M数据集实现的协同过滤算法demo
☆387Updated 7 years ago
Alternatives and similar repositories for MovieLens-RecSys
Users that are interested in MovieLens-RecSys are comparing it to the libraries listed below
Sorting:
- 推荐系统实例☆794Updated 7 years ago
- 推荐系统实践(基于近邻和LFM的推荐系统)☆103Updated 7 years ago
- UserCF和ItemCF协同过滤推荐算法的实现☆554Updated 3 years ago
- 推荐系统☆808Updated 6 years ago
- [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).☆302Updated 3 years ago
- Book recommender system using collaborative filtering based on Spark☆385Updated 7 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☆298Updated 7 years ago
- 项亮的《推荐系统实践》的代码实现☆496Updated 4 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☆129Updated 7 years ago
- MovieLens based recommender system.使用MovieLens数据集训练的电影推荐系统。☆1,295Updated 6 years ago
- A pure Python implement of Collaborative Filtering based on MovieLens' dataset.☆185Updated 5 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。☆136Updated 6 years ago
- 一个简单的电影推荐系统☆232Updated 3 years ago
- 图书推荐系统,基于商品的协同过滤算法实现☆306Updated 5 years ago
- 推荐系统学习资料、源码、及读书笔记☆133Updated 6 years ago
- 《推荐系统实践》代码实现☆736Updated 6 years ago
- 阅读过的推荐系统论文的归类总结,持续更新中…☆379Updated 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☆173Updated 4 years ago
- A practical movie recommend project based on Item2vec.☆281Updated 4 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☆105Updated 7 years ago
- 推荐系统从入门到实战☆166Updated 3 years ago
- 推荐系统之深度学习模型,框架采用tensorflow2☆58Updated 3 years ago
- YouTube推荐算法☆111Updated 3 years ago
- 阿里移动推荐算法☆126Updated 6 years ago
- Spark SQL 实现 ItemCF,UserCF,Swing,推荐系统,推荐算法,协同过滤☆140Updated 5 years ago
- 推荐系统论文☆23Updated 5 years ago
- 推荐系统/计算广告相关仓库,个人博客https://jesse-csj.github.io/☆291Updated 4 years ago
- 阿里移动推荐算法比赛☆79Updated 8 years ago
- 存放推荐算法相关代码、文档、资料☆254Updated 4 years ago
- 利用MovieLens数据,Pearson相似度,分别基于User和Item构建一个简单的kNN推荐系统,并给出RMSE评测☆68Updated 6 years ago