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SparrowRecSys is a deep learning movie recommendation system. It is a Maven-based project that includes TensorFlow, Spark, and Jetty Server modules. The system is designed for learning and improving recommendation systems.

DeepMatch is a deep matching model library for recommendations and advertising. It allows users to train models and export representation vectors for ANN search. The library is designed to be easy to use for building recommendation systems and implementing advertising solutions.

Product Recommendation Agent is an open-source tool that suggests products based on user preferences and history. It leverages Large Language Models (LLMs) for next-generation recommender systems. The tool enhances interactivity, explainability, and controllability in product recommendations.

Gorse is an open-source AI-powered recommendation system engine. It supports classical and LLM rankers. Gorse also handles multimodal content through embeddings. It is designed to be a universal recommendation system.

HLLM enhances sequential recommendations using hierarchical large language models for item and user modeling. It also includes HLLM-Creator for personalized creative generation. The tool is designed to improve the accuracy and personalization of recommendation systems. HLLM leverages large language models to understand user preferences and item characteristics.

TF-recomm is a TensorFlow-based framework for building recommendation systems. It focuses on factorization models to discover latent features between entities. It supports various factorization algorithms such as SVD and factorization machines. It is designed for implementing and developing new recommendation algorithms.