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 2 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:
- Pytorch for autorec with collaborative filtering☆36Updated 6 years ago
- Codes repository for RecSys and DeepLearnig, RecSys and ReinForcement learning and Traditioinal RecSys.☆92Updated 5 years ago
- 推荐系统---实验+复现+创新☆51Updated 2 years ago
- 基于注意力机制的群组推荐系统实现☆18Updated 6 years ago
- 推荐算法学习☆39Updated 2 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☆24Updated 6 years ago
- 自己学习推荐系统过程中用到的代码☆50Updated 5 years ago
- 推荐系统之深度学习模型,框架采用tensorflow2☆58Updated 3 years ago
- 短视频 youtube召回模型推荐,特征包括标题 tags id,tfserving docker部署☆23Updated 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☆59Updated 6 years ago
- This repository provides a comprehensive implementation of a deep neural network-based recommendation system similar to YouTube's. The re…☆59Updated 8 months ago
- 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 4 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
- collaborative filtering methods for recommender systems☆62Updated 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☆73Updated 4 years ago
- 深度学习推荐算法☆24Updated 4 years ago
- 基于 Pytorch 实现推荐系统相关的算法☆178Updated 3 years ago
- movie recommender on ml-1m dataset by nerual network☆32Updated 6 years ago
- 推荐系统相关模型 包括召回和排序☆30Updated 5 years ago
- ☆18Updated 4 years ago
- 推荐系统实践(基于近邻和LFM的推荐系统)☆103Updated 7 years ago
- tensorflow2.0 实现的 DeepFM,使用 Criteo 子数据集加以实践。☆29Updated 4 years ago
- Recommendation system based on knowledge graph embedding☆162Updated 5 years ago
- 推荐系统从入门到实战☆168Updated 3 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。☆90Updated 4 months ago
- 基于movieLen1M数据集的DSSM深度召回实验☆22Updated 4 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
- 阿里DIEN与DIN Tensorflow2.0 复现☆55Updated 4 years ago
- 基于科大讯飞AI营销算法比赛实现CTR深度学习方法☆47Updated 6 years ago
- 推荐系统与深度学习☆35Updated 4 years ago