#计算机科学#Gorse是一个用Go语言编写的开源推荐系统。Gorse的目标是成为一个通用的开源推荐系统,可以很容易地被引入到各种各样的在线服务中。通过将物品、用户和交互数据导入到Gorse中,系统将自动训练模型,为每个用户生成推荐。
#计算机科学#RSTutorials: A Curated List of Must-read Papers on Recommender System.
#计算机科学#Fast Python Collaborative Filtering for Implicit Feedback Datasets
#计算机科学#A unified, comprehensive and efficient recommendation library
翻译 - 统一,全面,高效的推荐库
LibRec: A Leading Java Library for Recommender Systems, see
#计算机科学#This repository contains Deep Learning based articles , paper and repositories for Recommender Systems
A deep matching model library for recommendations & advertising. It's easy to train models and to export representation vectors which can be used for ANN search.
翻译 - 用于推荐和广告的深度匹配模型库。训练模型和导出用户和项目的表示向量非常容易,可用于ANN搜索。
#计算机科学#Neural Collaborative Filtering
#计算机科学#Deep learning for recommender systems
#计算机科学#An Open-source Toolkit for Deep Learning based Recommendation with Tensorflow.
翻译 - 一个基于Tensorflow的基于深度学习的推荐开源工具包。
Factorization Machine models in PyTorch
#计算机科学#Next RecSys Library
翻译 - 下一个RecSys库
#自然语言处理#AI-related tutorials. Access any of them for free → https://towardsai.net/editorial
#计算机科学#This is the repository of our article published in RecSys 2019 "Are We Really Making Much Progress? A Worrying Analysis of Recent Neural Recommendation Approaches" and of several follow-up studies.
翻译 - 这是我们在RecSys 2019中发表的文章的资料库,``我们真的取得了很大进展吗?对最近的神经推荐方法的担忧分析''
A Comparative Framework for Multimodal Recommender Systems
Neural Graph Collaborative Filtering, SIGIR2019
个性化新闻推荐系统,A news recommendation system involving collaborative filtering,content-based recommendation and hot news recommendation, can be adapted easily to be put into use in other circumstances.
Official code for "DaisyRec 2.0: Benchmarking Recommendation for Rigorous Evaluation" (TPAMI2022) and "Are We Evaluating Rigorously? Benchmarking Recommendation for Reproducible Evaluation and Fair Co...
A collection of resources for Recommender Systems (RecSys)
Variational autoencoders for collaborative filtering