Topic: recsys Goto Github
Some thing interesting about recsys
Some thing interesting about recsys
recsys,Recommendation System using ML and DL
User: amitkaps
recsys,Course on recommender systems conducted at the Faculty of Computer Science, National Research University - Higher School of Economics. Academic year 2022-2023.
User: anamarina
recsys,Survey: A collection of AWESOME papers and resources on the latest research in Mixture of Experts.
User: arpita8
recsys,Content Based Recommender System for real estate properties.
User: arturlunardi
recsys,A general purpose recommender metrics library for fair evaluation.
Organization: astrazeneca
Home Page: https://rexmex.readthedocs.io/
recsys,๐ AI๋ฅผ ํ์ฉํ ๋ฉ์ดํ์คํ ๋ฆฌ ์ฝ๋ ์ถ์ฒ ์๋น์ค๐๐
Organization: boostcampaitech4lv23recsys1
recsys,Survey: A collection of AWESOME papers and resources on the large language model (LLM) related recommender system topics.
User: chiangel
recsys,A collection of resources for Recommender Systems (RecSys)
User: chihming
recsys,Curated list of recommnedation system topics
User: creyesp
recsys,A Lighting Pytorch Framework for Recommendation Models, Easy-to-use and Easy-to-extend.
Organization: datawhalechina
recsys,This is the repository for our paper "GAN-based Matrix Factorization for Recommender Systems" accepted at ACM/SIGAPP Symposium on Applied Computing (SAC '22).
User: edervishaj
recsys,Tensorflow NCE loss in Keras
User: eggie5
Home Page: http://www.eggie5.com/134-nce-Noise-contrastive-Estimation-Loss
recsys,๐ Papers & tech blogs by companies sharing their work on data science & machine learning in production.
User: eugeneyan
recsys,Repository hosting code used to reproduce results in "Actions Speak Louder than Words: Trillion-Parameter Sequential Transducers for Generative Recommendations" (https://arxiv.org/abs/2402.17152).
Organization: facebookresearch
recsys,[AAAI 2024] Mab2Rec: Multi-Armed Bandits Recommender
Organization: fidelity
Home Page: https://fidelity.github.io/mab2rec/
recsys,[IJAIT 2021] MABWiser: Contextual Multi-Armed Bandits Library
Organization: fidelity
Home Page: https://fidelity.github.io/mabwiser/
recsys,Parameter Server implementation in Apache Flink
Organization: flinkml
recsys,Post Processing Explanations Paths in Path Reasoning Recommender Systems with Knowledge Graphs
User: giacoballoccu
recsys,GHRS: Graph-based hybrid recommendation system with application to movie recommendation
User: hadoov
recsys,2018 Spotify ACM RecSys Challenge 2'nd Place Solution
User: hojinyang
recsys,Packaged movie recommenders as REST API using tensorflow-recommenders
User: hojinyang
recsys,Repository for "VisRec: A Hands-on Tutorial on Deep Learning for Visual Recommender Systems" at ACM IUI 2021 conference
Organization: ialab-puc
recsys,Recommendations at "Reasonable Scale": joining dataOps with recSys through dbt, Merlin and Metaflow
User: jacopotagliabue
recsys, Recommender System framework for Julia
Organization: juliarecsys
recsys,Compilation of high-profile real-world examples of failed machine learning projects
User: kennethleungty
recsys,Our solution for Recsys Challenge 2017.
User: leavingseason
recsys,This project implements different Deep Autoencoder for Collaborative Filtering for Recommendation Systems in Keras
User: marlesson
recsys,This is the official repository for the Recommender Systems course at Politecnico di Milano.
User: mauriziofd
recsys,RecTools - library to build Recommendation Systems easier and faster than ever before
Organization: mobiletelesystems
recsys,Merlin Models is a collection of deep learning recommender system model reference implementations
Organization: nvidia-merlin
Home Page: https://nvidia-merlin.github.io/models/main/index.html
recsys,Transformers4Rec is a flexible and efficient library for sequential and session-based recommendation and works with PyTorch.
Organization: nvidia-merlin
Home Page: https://nvidia-merlin.github.io/Transformers4Rec/main
recsys,๐คน MultiTRON: Pareto Front Approximation for Multi-Objective Session-Based Recommender Systems, accepted at ACM RecSys 2024.
Organization: otto-de
Home Page: https://arxiv.org/abs/2407.16828
recsys,๐ A real-world e-commerce dataset for session-based recommender systems research.
Organization: otto-de
Home Page: https://www.kaggle.com/datasets/otto/recsys-dataset
recsys,โก๏ธ Implementation of TRON: Transformer Recommender using Optimized Negative-sampling, accepted at ACM RecSys 2023.
Organization: otto-de
Home Page: https://arxiv.org/abs/2307.14906
recsys,Repository for EDM2021 paper - "Recommending Knowledge Concepts on MOOC Platforms with Meta-path-based Representation Learning"
User: parklize
Home Page: https://parklize.github.io/publications/EDM2021.pdf
recsys,MovieGPT: A RAG, Gen AI application for Movie Recommendations
User: rafaelpierre
recsys,[Official Codes] Experiments on Generalizability of User-Oriented Fairness in Recommender Systems (SIGIR 2022)
User: rahmanidashti
recsys,RiVal recommender system evaluation toolkit
Organization: recommenders
Home Page: rival.recommenders.net
recsys,A Comprehensive Framework for Building End-to-End Recommendation Systems with State-of-the-Art Models
Organization: sb-ai-lab
Home Page: https://sb-ai-lab.github.io/RePlay/
recsys,RecSys Library
Organization: sberbank-ai-lab
Home Page: https://sberbank-ai-lab.github.io/RePlay/
recsys,ๆจ่็ณป็ปๅญฆไน ่ตๆใๆบ็ ใๅ่ฏปไนฆ็ฌ่ฎฐ
User: singmiya
recsys,The goal of this survey is two-fold: (i) to present recent advances on adversarial machine learning (AML) for the security of RS (i.e., attacking and defense recommendation models), (ii) to show another successful application of AML in generative adversarial networks (GANs) for generative applications, thanks to their ability for learning (high-dimensional) data distributions. In this survey, we provide an exhaustive literature review of 74 articles published in major RS and ML journals and conferences. This review serves as a reference for the RS community, working on the security of RS or on generative models using GANs to improve their quality.
Organization: sisinflab
recsys,Material supporting the tutorial "Pursuing Privacy in Recommender Systems: The View of Users and Researchers from Regulations to Applications" held at the 15th ACM Conference on Recommender Systems in Amsterdam, Netherlands
Organization: sisinflab
recsys,A Tensorflow based implicit recommender system
User: skywalker518
recsys,Fullstack recommender system project with Flask + React + PyTorch + Numpy
User: yoongi0428
recsys,PyTorch implementations of Top-N recommendation, collaborative filtering recommenders.
User: yoongi0428
recsys,Customizable RecSys Simulator for OpenAI Gym
User: zuoxingdong
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