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:
- collaborative filtering methods for recommender systems☆62Updated 4 years ago
- 推荐系统---实验+复现+创新☆49Updated 2 years ago
- Codes repository for RecSys and DeepLearnig, RecSys and ReinForcement learning and Traditioinal RecSys.☆92Updated 5 years ago
- 推荐系统从入门到实战☆167Updated 3 years 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
- 自己学习推荐系统过程中用到的代码☆50Updated 5 years ago
- Pytorch for autorec with collaborative filtering☆36Updated 6 years ago
- A developing recommender system in tensorflow2. Algorithm: UserCF, ItemCF, LFM, SLIM, GMF, MLP, NeuMF, FM, DeepFM, MKR, RippleNet, KGCN a…☆411Updated 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
- 广告点击率(CTR)预测经典模型 GBDT + LR 理解与实践（附数据 + 代码）☆91Updated 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☆68Updated 2 years ago
- 推荐算法学习☆39Updated 2 years ago
- 基于注意力机制的群组推荐系统实现☆18Updated 6 years ago
- 推荐系统实践(基于近邻和LFM的推荐系统)☆103Updated 7 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
- Recommendation system based on knowledge graph embedding☆163Updated 5 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。☆92Updated 6 months ago
- 推荐系统相关模型 包括召回和排序☆30Updated 5 years ago
- This repository provides a comprehensive implementation of a deep neural network-based recommendation system similar to YouTube's. The re…☆59Updated 9 months ago
- all kinds of recommendation algorithms implement.☆126Updated 4 years ago
- 《推荐系统开发实战》代码及勘误☆60Updated 5 years ago
- YouTube推荐算法☆110Updated 3 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 5 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
- Here are the models listed in CTR. Example: FM、DeepFM、xDeepFM etc.☆67Updated 11 months ago
- 推荐系统实战☆33Updated 5 years ago
- ☆31Updated 6 years ago
- Movie Rating Prediction using GloVe Word Embeddings and Deep Learning (LSTM): Use MovieLens dataset to predict movie ratings using tags g…☆22Updated 7 years ago
- 实现了一系列常见的推荐算法，如UserCF，ItemCF，SVD等，包含“切分训练集与测试集-训练模型-推荐-评估”一整套流程。☆20Updated 5 years ago
- Item2vec_tutorial_git☆109Updated 7 years ago