#计算机科学#Best Practices on Recommendation Systems
翻译 - 推荐系统的最佳做法
#安全#A collection of small bash scripts for heavy terminal users
#计算机科学#Deep learning for recommender systems
#计算机科学#Machine Learning Platform and Recommendation Engine built on Kubernetes
#搜索#DeepRec is a high-performance recommendation deep learning framework based on TensorFlow. It is hosted in incubation in LF AI & Data Foundation.
A Comparative Framework for Multimodal Recommender Systems
Recommendations for Ruby and Rails using collaborative filtering
Neo4j-based recommendation engine module with real-time and pre-computed recommendations.
#计算机科学#RecDB is a recommendation engine built entirely inside PostgreSQL
Free and open source code of the https://tournesol.app platform. Meet the community on Discord https://discord.gg/WvcSG55Bf3
#计算机科学#RecTools - library to build Recommendation Systems easier and faster than ever before
#计算机科学#Source code of CHAMELEON - A Deep Learning Meta-Architecture for News Recommender Systems
#计算机科学#A C library for product recommendations/suggestions using collaborative filtering (CF)
#计算机科学#Music Recommender System
#计算机科学#Basic Movie Recommendation Web Application using user-item collaborative filtering.
#大语言模型#recommender system tutorial with Python
A step-by-step tutorial on developing a practical recommendation system (retrieval and ranking) using TensorFlow Recommenders and Keras.
#计算机科学#Book Recommendation System built for Book Lovers📖. Simply Rate ⭐ some books and get immediate recommendations🤩
翻译 - 书籍推荐系统为书籍爱好者。简单地评价⭐一些书籍并立即推荐¶
Towards A Standardized Tag Recommender Benchmarking Framework