jiangnanboy / recommendation_methodsLinks
个性化推荐模型,主要包括als、als_wr、biaslfm、lfm、nmf、svdpp、基于内容、基于内容回归、user-cf、item-cf、slopeone、关联规则以及基于内容和cf的混合等模型。
☆32Updated 3 years ago
Alternatives and similar repositories for recommendation_methods
Users that are interested in recommendation_methods are comparing it to the libraries listed below
Sorting:
- A developing recommender system in tensorflow2. Algorithm: UserCF, ItemCF, LFM, SLIM, GMF, MLP, NeuMF, FM, DeepFM, MKR, RippleNet, KGCN a…☆414Updated 4 years ago
- collaborative filtering methods for recommender systems☆62Updated 4 years ago
- 推荐系统从入门到实战☆166Updated 3 years ago
- all kinds of recommendation algorithms implement.☆128Updated 4 years ago
- 推荐系统实践(基于近邻和LFM的推荐系统)☆103Updated 7 years ago
- 基于 Pytorch 实现推荐系统相关的算法☆184Updated 3 years ago
- 基于注意力机制的群组推荐系统实现☆18Updated 6 years ago
- 基于netflix prize 和 H&M开源数据集,从零开始构建企业级推荐系统。☆97Updated 9 months ago
- This repository provides a comprehensive implementation of a deep neural network-based recommendation system similar to YouTube's. The re…☆62Updated last week
- 广告点击率(CTR)预测经典模型 GBDT + LR 理解与实践(附数据 + 代码)☆92Updated 5 years ago
- 一个简单的电影推荐系统☆234Updated 3 years ago
- Spark SQL 实现 ItemCF,UserCF,Swing,推荐系统,推荐算法,协同过滤☆141Updated 5 years ago
- 推荐系统之深度学习模型,框架采用tensorflow2☆58Updated 3 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
- 实现了基于协同过滤(UserCF)的模型、基于隐语义(LFM)的模型、基于图(PersonalRank)的模型,并结合三种模型的结果给出最终结果的推荐算法☆23Updated 6 years ago
- Pytorch for autorec with collaborative filtering☆36Updated 6 years ago
- 推荐算法学习☆39Updated 2 years ago
- Recommendation system based on knowledge graph embedding☆163Updated 5 years ago
- 推荐系统/计算广告相关仓库,个人博客https://jesse-csj.github.io/☆292Updated 4 years ago
- Codes repository for RecSys and DeepLearnig, RecSys and ReinForcement learning and Traditioinal RecSys.☆91Updated 5 years ago
- Here are the models listed in CTR. Example: FM、DeepFM、xDeepFM etc.☆68Updated last year
- rater, recommender systems. 推荐模型,包括:DeepFM,Wide&Deep,DIN,DeepWalk,Node2Vec等模型实现,开箱即用。☆45Updated 5 years ago
- UserCF和ItemCF协同过滤推荐算法的实现☆558Updated 3 years ago
- 使用MovieLens数据集实现了基于Auto Encoder(AE), Variational Auto Encoder(VAE), BERT的深度学习电影推荐系统☆76Updated 4 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
- YouTube推荐算法☆111Updated 3 years ago
- 热门推荐、基于内容推荐、基于用户协同过滤推荐、基于物品协同过滤推荐☆41Updated 6 years ago
- movie recommender on ml-1m dataset by nerual network☆32Updated 6 years ago
- 存放推荐算法相关代码、文档、资料☆256Updated 4 years ago
- 推荐系统---实验+复现+创新☆49Updated 2 years ago