Statistics for topic recommendation-system
RepositoryStats tracks 662,837 Github repositories, of these 133 are tagged with the recommendation-system topic. The most common primary language for repositories using this topic is Python (58). Other languages include: Jupyter Notebook (34)
Stargazers over time for topic recommendation-system
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OpenVINO™ is an open source toolkit for optimizing and deploying AI inference
Contains Solutions and Notes for the Machine Learning Specialization By Stanford University and Deeplearning.ai - Coursera (2022) by Prof. Andrew NG
[Pytorch] Generative retrieval model using semantic IDs from "Recommender Systems with Generative Retrieval"
推荐/广告/搜索领域工业界经典以及最前沿论文集合。A collection of industry classics and cutting-edge papers in the field of recommendation/advertising/search.
[Pytorch] Generative retrieval model using semantic IDs from "Recommender Systems with Generative Retrieval"
Modular e-commerce backend with a GraphQL gateway and gRPC microservices for accounts, products, orders, and recommendations.
推荐/广告/搜索领域工业界经典以及最前沿论文集合。A collection of industry classics and cutting-edge papers in the field of recommendation/advertising/search.
Paper List for Recommend-system PreTrained Models
[WSDM'2024 Oral] "LLMRec: Large Language Models with Graph Augmentation for Recommendation"
Contains Solutions and Notes for the Machine Learning Specialization By Stanford University and Deeplearning.ai - Coursera (2022) by Prof. Andrew NG
OpenVINO™ is an open source toolkit for optimizing and deploying AI inference
[Pytorch] Generative retrieval model using semantic IDs from "Recommender Systems with Generative Retrieval"
[Pytorch] Generative retrieval model using semantic IDs from "Recommender Systems with Generative Retrieval"
Modular e-commerce backend with a GraphQL gateway and gRPC microservices for accounts, products, orders, and recommendations.
🔥🔥🔥 Latest Advances on Large Recommendation Models
Movie Recommendation System with Complete End-to-End Pipeline, Model Intregration & Web Application Hosted. It will also help you build similar projects.
Contains Solutions and Notes for the Machine Learning Specialization By Stanford University and Deeplearning.ai - Coursera (2022) by Prof. Andrew NG
OpenVINO™ is an open source toolkit for optimizing and deploying AI inference
Modular e-commerce backend with a GraphQL gateway and gRPC microservices for accounts, products, orders, and recommendations.
Modular e-commerce backend with a GraphQL gateway and gRPC microservices for accounts, products, orders, and recommendations.
[Pytorch] Generative retrieval model using semantic IDs from "Recommender Systems with Generative Retrieval"
🔥🔥🔥 Latest Advances on Large Recommendation Models
A curated list of awesome machine learning libraries for marketing, including media mix models, multi touch attribution, causal inference and more
Modular e-commerce backend with a GraphQL gateway and gRPC microservices for accounts, products, orders, and recommendations.
[Pytorch] Generative retrieval model using semantic IDs from "Recommender Systems with Generative Retrieval"
A standalone AI-powered application designed to learn your viewing preferences on your Plex server and provide personalized recommendations on what to watch.
🔥🔥🔥 Latest Advances on Large Recommendation Models
Retrieval with Learned Similarities (http://arxiv.org/abs/2407.15462, WWW'25 Oral)
Contains Solutions and Notes for the Machine Learning Specialization By Stanford University and Deeplearning.ai - Coursera (2022) by Prof. Andrew NG
OpenVINO™ is an open source toolkit for optimizing and deploying AI inference
推荐/广告/搜索领域工业界经典以及最前沿论文集合。A collection of industry classics and cutting-edge papers in the field of recommendation/advertising/search.
Modular e-commerce backend with a GraphQL gateway and gRPC microservices for accounts, products, orders, and recommendations.
Enhancing Recommendation Systems with Large Language Models (RAG - LangChain - OpenAI)
Personalized anime recommendations based on collaborative filtering. Discover your next favorite anime!