Statistics for topic recommender-system
RepositoryStats tracks 594,982 Github repositories, of these 262 are tagged with the recommender-system topic. The most common primary language for repositories using this topic is Python (152). Other languages include: Jupyter Notebook (34)
Stargazers over time for topic recommender-system
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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
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!
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.
[Pytorch] Generative retrieval model using semantic IDs from "Recommender Systems with Generative Retrieval"
A curated list of papers on cold-start recommendations.
[SIGIR 2024 perspective] The implementation of paper "On Generative Agents in Recommendation"
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/
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!
[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.
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.
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!
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.
