#搜索#高性能、可扩展的向量搜索引擎
#搜索#Weaviate 是一个开源矢量数据库，它同时存储对象和矢量，允许将矢量搜索与结构化过滤与云原生数据库的容错和可扩展性相结合，所有这些都可以通过 GraphQL、REST 和各种语言客户端访问。
#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。
#搜索#Developer-friendly, serverless vector database for AI applications. Easily add long-term memory to your LLM apps!
#面试#推荐系统入门教程，在线阅读地址：https://datawhalechina.github.io/fun-rec/
#自然语言处理#深度学习入门课、资深课、特色课、学术案例、产业实践案例、深度学习知识百科及面试题库The course, case and knowledge of Deep Learning and AI
#自然语言处理#📋 Survey papers summarizing advances in deep learning, NLP, CV, graphs, reinforcement learning, recommendations, graphs, etc.
#搜索#🚀 efficient approximate nearest neighbor search algorithm collections library written in Rust 🦀 .
翻译 - 🚀 用 Rust 编写的高效近似最近邻搜索算法集合库 🦀 。
#计算机科学#A Deep Learning Recommender System
翻译 - 深度学习推荐系统
#计算机科学#Pytorch domain library for recommendation systems
翻译 - Pytorch domain library for recommendation systems
TensorFlow Recommenders is a library for building recommender system models using TensorFlow.
翻译 - TensorFlow Recommenders是一个使用TensorFlow构建推荐系统模型的库。
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''
#计算机科学#🛍 A real-world e-commerce dataset for session-based recommender systems research.
PHP implementation of the (Weighted Slopeone,Cosine, Weighted Cosine) rating-based collaborative filtering schemes.