Statistics for topic recommendation-system
RepositoryStats tracks 595,858 Github repositories, of these 121 are tagged with the recommendation-system topic. The most common primary language for repositories using this topic is Python (53). Other languages include: Jupyter Notebook (32)
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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.
🔥🔥🔥 Latest Advances on Large Recommendation Models
Contains Solutions and Notes for the Machine Learning Specialization By Stanford University and Deeplearning.ai - Coursera (2022) by Prof. Andrew NG
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.
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
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.
🔥🔥🔥 Latest Advances on Large Recommendation Models
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"
Food/Diet Recommendation system using machine learning
[ECIR'24] Implementation of "Large Language Models are Zero-Shot Rankers for Recommender Systems"
🔥🔥🔥 Latest Advances on Large Recommendation Models
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.
[Pytorch] Generative retrieval model using semantic IDs from "Recommender Systems with Generative Retrieval"
Transforming skincare recommendations: our hybrid system combines KNN, CNN, and EfficientNet B0 for personalized advice. Published in IEEE, with 80% validation accuracy and 87.10% training accuracy.
Contains Solutions and Notes for the Machine Learning Specialization By Stanford University and Deeplearning.ai - Coursera (2022) by Prof. Andrew NG
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"
🔥🔥🔥 Latest Advances on Large Recommendation Models
Enhancing Recommendation Systems with Large Language Models (RAG - LangChain - OpenAI)
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
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.
[WSDM 2024 Oral] This is our Pytorch implementation for the paper: "Intent Contrastive Learning with Cross Subsequences for Sequential Recommendation".
Food/Diet Recommendation system using machine learning
[WSDM'2024 Oral] "LLMRec: Large Language Models with Graph Augmentation for Recommendation"