Trending repositories for topic recommender-system
Developer-friendly, serverless vector database for AI applications. Easily add long-term memory to your LLM apps!
Qdrant - High-performance, massive-scale Vector Database and Vector Search Engine for the next generation of AI. Also available in the cloud https://cloud.qdrant.io/
Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.
Weaviate is an open-source vector database that stores both objects and vectors, allowing for the combination of vector search with structured filtering with the fault tolerance and scalability of a c...
Paper list about hyperbolic embedding, hyperbolic models,hyperbolic applications
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
An index of algorithms for learning causality with data
Basic Movie Recommendation Web Application using user-item collaborative filtering.
[SIGIR 2024 perspective] The implementation of paper "On Generative Agents in Recommendation"
A curated list of awesome resources about multimodal recommender systems.
Slides, scripts and materials for the Machine Learning in Finance Course at NYU Tandon, 2022
人工智能学习资料超全整理，包含机器学习基础ML、深度学习基础DL、计算机视觉CV、自然语言处理NLP、推荐系统、语音识别、图神经网路、算法工程师面试题
Paper list about hyperbolic embedding, hyperbolic models,hyperbolic applications
Basic Movie Recommendation Web Application using user-item collaborative filtering.
Developer-friendly, serverless vector database for AI applications. Easily add long-term memory to your LLM apps!
[SIGIR 2024 perspective] The implementation of paper "On Generative Agents in Recommendation"
A curated list of awesome resources about multimodal recommender systems.
Collection of must read papers for Data Science, or Machine Learning / Deep Learning Engineer
Slides, scripts and materials for the Machine Learning in Finance Course at NYU Tandon, 2022
人工智能学习资料超全整理，包含机器学习基础ML、深度学习基础DL、计算机视觉CV、自然语言处理NLP、推荐系统、语音识别、图神经网路、算法工程师面试题
This is a repository of public data sources for Recommender Systems (RS).
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
A list of awesome papers and resources of recommender system on large language model (LLM).
Weaviate is an open-source vector database that stores both objects and vectors, allowing for the combination of vector search with structured filtering with the fault tolerance and scalability of a c...
Qdrant - High-performance, massive-scale Vector Database and Vector Search Engine for the next generation of AI. Also available in the cloud https://cloud.qdrant.io/
Developer-friendly, serverless vector database for AI applications. Easily add long-term memory to your LLM apps!
Weaviate is an open-source vector database that stores both objects and vectors, allowing for the combination of vector search with structured filtering with the fault tolerance and scalability of a c...
Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.
A list of awesome papers and resources of recommender system on large language model (LLM).
An index of algorithms for learning causality with data
This is a repository of public data sources for Recommender Systems (RS).
Fast Open-Source Search & Clustering engine × for Vectors & 🔜 Strings × in C++, C, Python, JavaScript, Rust, Java, Objective-C, Swift, C#, GoLang, and Wolfram 🔍
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
Collection of must read papers for Data Science, or Machine Learning / Deep Learning Engineer
[SIGIR 2024 perspective] The implementation of paper "On Generative Agents in Recommendation"
Paper list about hyperbolic embedding, hyperbolic models,hyperbolic applications
Awesome Deep Learning papers for industrial Search, Recommendation and Advertisement. They focus on Embedding, Matching, Ranking (CTR/CVR prediction), Post Ranking, Large Model (Generative Recommendat...
A curated list of awesome resources about multimodal recommender systems.
A curated list of papers on cold-start recommendations.
[Pytorch] Generative retrieval model using semantic IDs from "Recommender Systems with Generative Retrieval"
[SIGIR 2024 perspective] The implementation of paper "On Generative Agents in Recommendation"
Paper list about hyperbolic embedding, hyperbolic models,hyperbolic applications
Developer-friendly, serverless vector database for AI applications. Easily add long-term memory to your LLM apps!
A curated list of awesome resources about multimodal recommender systems.
推荐系统论文算法实现，包括序列推荐，多任务学习，元学习等。 Recommendation system papers implementations, including sequence recommendation, multi-task learning, meta-learning, etc.
A list of awesome papers and resources of recommender system on large language model (LLM).
This is a repository of public data sources for Recommender Systems (RS).
This Repository contains Solutions to the Quizes & Lab Assignments of the Machine Learning Specialization (2022) from Deeplearning.AI on Coursera taught by Andrew Ng, Eddy Shyu, Aarti Bagul, Geoff Lad...
RecTools - library to build Recommendation Systems easier and faster than ever before
人工智能学习资料超全整理，包含机器学习基础ML、深度学习基础DL、计算机视觉CV、自然语言处理NLP、推荐系统、语音识别、图神经网路、算法工程师面试题
Qdrant - High-performance, massive-scale Vector Database and Vector Search Engine for the next generation of AI. Also available in the cloud https://cloud.qdrant.io/
Weaviate is an open-source vector database that stores both objects and vectors, allowing for the combination of vector search with structured filtering with the fault tolerance and scalability of a c...
Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.
Developer-friendly, serverless vector database for AI applications. Easily add long-term memory to your LLM apps!
An index of algorithms for learning causality with data
A list of awesome papers and resources of recommender system on large language model (LLM).
Fast Open-Source Search & Clustering engine × for Vectors & 🔜 Strings × in C++, C, Python, JavaScript, Rust, Java, Objective-C, Swift, C#, GoLang, and Wolfram 🔍
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
Collection of must read papers for Data Science, or Machine Learning / Deep Learning Engineer
RSTutorials: A Curated List of Must-read Papers on Recommender System.
Awesome Deep Learning papers for industrial Search, Recommendation and Advertisement. They focus on Embedding, Matching, Ranking (CTR/CVR prediction), Post Ranking, Large Model (Generative Recommendat...
This is a repository of public data sources for Recommender Systems (RS).
[SIGIR 2024 perspective] The implementation of paper "On Generative Agents in Recommendation"
TensorFlow Recommenders is a library for building recommender system models using TensorFlow.
[Pytorch] Generative retrieval model using semantic IDs from "Recommender Systems with Generative Retrieval"
A curated list of papers on cold-start recommendations.
🤹 MultiTRON: Pareto Front Approximation for Multi-Objective Session-Based Recommender Systems, accepted at ACM RecSys 2024.
Source codes for paper "MACRec: A Multi-Agent Collaboration Framework for Recommendation" at SIGIR 2024
An easy-to-use framework for large scale recommendation algorithms.
[SIGIR 2024 perspective] The implementation of paper "On Generative Agents in Recommendation"
Pytorch implementation of paper: Multi-Interest Network with Dynamic Routing for Recommendation at Tmall
This Repository contains Solutions to the Quizes & Lab Assignments of the Machine Learning Specialization (2022) from Deeplearning.AI on Coursera taught by Andrew Ng, Eddy Shyu, Aarti Bagul, Geoff Lad...
A list of awesome papers and resources of recommender system on large language model (LLM).
A Comprehensive Framework for Building End-to-End Recommendation Systems with State-of-the-Art Models
The code for the paper "MISSRec: Pre-training and Transferring Multi-modal Interest-aware Sequence Representation for Recommendation" (ACM MM'23).
Developer-friendly, serverless vector database for AI applications. Easily add long-term memory to your LLM apps!
A curated list of awesome resources about multimodal recommender systems.
MLGB is a library that includes many models of CTR Prediction & Recommender System by TensorFlow & PyTorch. MLGB是一个包含50+点击率预估和推荐系统深度模型的、通过TensorFlow和PyTorch撰写的库。
Radient turns many data types (not just text) into vectors for similarity search, RAG, regression analysis, and more.
[Pytorch] Generative retrieval model using semantic IDs from "Recommender Systems with Generative Retrieval"
A curated list of papers on cold-start recommendations.
An easy-to-use framework for large scale recommendation algorithms.
A toy large model for recommender system based on LLaMA2/SASRec/Meta's generative recommenders. Besides, note and experiments of official implementation for Meta's generative recommenders.
The implementation of paper "Language Representations Can be What Recommenders Need: Findings and Potentials"
[SIGIR'2024] "SelfGNN: Self-Supervised Graph Neural Networks for Sequential Recommendation"
[WWW'2024] "PromptMM: Multi-Modal Knowledge Distillation for Recommendation with Prompt-Tuning"
This includes the original implementation of Retrieval-Oriented Knowledge for Click-Through Rate Prediction.
The code for the paper "RAT: Retrieval-Augmented Transformer for Click-Through Rate Prediction" (WWW 24 short paper)
🤹 MultiTRON: Pareto Front Approximation for Multi-Objective Session-Based Recommender Systems, accepted at ACM RecSys 2024.
Qdrant - High-performance, massive-scale Vector Database and Vector Search Engine for the next generation of AI. Also available in the cloud https://cloud.qdrant.io/
Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.
Weaviate is an open-source vector database that stores both objects and vectors, allowing for the combination of vector search with structured filtering with the fault tolerance and scalability of a c...
Developer-friendly, serverless vector database for AI applications. Easily add long-term memory to your LLM apps!
Fast Open-Source Search & Clustering engine × for Vectors & 🔜 Strings × in C++, C, Python, JavaScript, Rust, Java, Objective-C, Swift, C#, GoLang, and Wolfram 🔍
A list of awesome papers and resources of recommender system on large language model (LLM).
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
MLGB is a library that includes many models of CTR Prediction & Recommender System by TensorFlow & PyTorch. MLGB是一个包含50+点击率预估和推荐系统深度模型的、通过TensorFlow和PyTorch撰写的库。
RSTutorials: A Curated List of Must-read Papers on Recommender System.
Collection of must read papers for Data Science, or Machine Learning / Deep Learning Engineer
An index of algorithms for learning causality with data
Awesome Deep Learning papers for industrial Search, Recommendation and Advertisement. They focus on Embedding, Matching, Ranking (CTR/CVR prediction), Post Ranking, Large Model (Generative Recommendat...
A Python implementation of LightFM, a hybrid recommendation algorithm.
Radient turns many data types (not just text) into vectors for similarity search, RAG, regression analysis, and more.
This is a repository of public data sources for Recommender Systems (RS).
MLGB is a library that includes many models of CTR Prediction & Recommender System by TensorFlow & PyTorch. MLGB是一个包含50+点击率预估和推荐系统深度模型的、通过TensorFlow和PyTorch撰写的库。
An easy-to-use framework for large scale recommendation algorithms.
This repository contains the code and instructions to build a job recommendation system using machine learning. The system is designed to provide personalized job recommendations based on user prefere...
A toy large model for recommender system based on LLaMA2/SASRec/Meta's generative recommenders. Besides, note and experiments of official implementation for Meta's generative recommenders.
The code of AAAI'24 paper GLRec: Exploring Large Language Model for Graph Data Understanding in Online Job Recommendations
This includes the original implementation of Retrieval-Oriented Knowledge for Click-Through Rate Prediction.
A list of awesome papers and resources of recommender system on large language model (LLM).
[SIGIR 2024 perspective] The implementation of paper "On Generative Agents in Recommendation"
A Comprehensive Framework for Building End-to-End Recommendation Systems with State-of-the-Art Models
Developer-friendly, serverless vector database for AI applications. Easily add long-term memory to your LLM apps!
AI-powered anime recommendation website for MyAnimeList + AniList with other tools, visualizations, and profile analytics
The code for the paper "MISSRec: Pre-training and Transferring Multi-modal Interest-aware Sequence Representation for Recommendation" (ACM MM'23).
Course on recommender systems conducted at the Faculty of Computer Science, National Research University - Higher School of Economics. Academic year 2022-2023.
Large Language Model-enhanced Recommender System Papers
Paper list about hyperbolic embedding, hyperbolic models,hyperbolic applications