一种命令行操作的电影推荐系统，该系统使用用户现有的MovieLens电影评级作为输入，为用户推荐未上映的电影。该算法使用两个用于协作过滤的KNN算法和一个具有两个可见维度的可解释RBM来预测未观看电影的用户评级。
A command line operated Movie Recommender system that recommends unwatched movies for a user using their existing MovieLens movie ratings as input. The algorithm uses two KNN algorithms for collaborative filtering and an Explainable-RBM with two visible dimensions to predict user ratings for unwatched movies. (2024-01-30, Python, 0KB, 下载0次)
使用向量嵌入生成播客片段建议，
Using vector embeddings to generate podcast episode recomendations, (2023-09-28, Python, 0KB, 下载0次)
基于维基百科NER检测到的实体的Twitter语义推荐器，
Twitter semantic recommender based of entities detected by Wikipedia NER, (2012-05-04, Python, 0KB, 下载0次)
播客推荐程序，
Podcast Recommender, (2018-07-19, Python, 0KB, 下载0次)
2012年秋季斯坦福大学CS229推荐系统项目，
Recommender System Project for CS229 at Stanford in Fall 2012, (2012-12-09, Python, 0KB, 下载0次)
SuggestBot是维基百科的文章推荐程序，
SuggestBot is an article recommender for Wikipedia, (2022-12-04, Python, 0KB, 下载0次)
多反馈信道贝叶斯个性化排序（BPR）的实现，
Implementation of Bayesian Personalized Ranking (BPR) for Multiple Feedback Channels, (2019-02-05, Python, 0KB, 下载0次)
论文《StRE:Self-Atentive Edit Quality Prediction》在维基百科中的实现，
Implementation of the paper StRE: Self Attentive Edit Quality Prediction in Wikipedia, (2019-12-18, Python, 0KB, 下载0次)