Topic: collaborative-filtering Goto Github
Some thing interesting about collaborative-filtering
Some thing interesting about collaborative-filtering
collaborative-filtering,This is the repository of our article published in RecSys 2020 "Are We Evaluating Rigorously? Benchmarking Recommendation for Reproducible Evaluation and Fair Comparison"
User: amazingdd
collaborative-filtering,Basic Movie Recommendation Web Application using user-item collaborative filtering.
User: asif536
collaborative-filtering,Fast Python Collaborative Filtering for Implicit Feedback Datasets
User: benfred
Home Page: https://benfred.github.io/implicit/
collaborative-filtering,个性化新闻推荐系统,A news recommendation system involving collaborative filtering,content-based recommendation and hot news recommendation, can be adapted easily to be put into use in other circumstances.
User: bluemapleman
collaborative-filtering,An Open-source Toolkit for Deep Learning based Recommendation with Tensorflow.
User: cheungdaven
collaborative-filtering,A collection of resources for Recommender Systems (RecSys)
User: chihming
collaborative-filtering,Variational autoencoders for collaborative filtering
User: dawenl
collaborative-filtering,Fast and accurate machine learning on sparse matrices - matrix factorizations, regression, classification, top-N recommendations.
User: dselivanov
Home Page: https://www.slideshare.net/DmitriySelivanov/matrix-factorizations-for-recommender-systems
collaborative-filtering,Factorization Machines for Recommendation and Ranking Problems with Implicit Feedback Data
User: etlundquist
collaborative-filtering,Recommender system and evaluation framework for top-n recommendations tasks that respects polarity of feedbacks. Fast, flexible and easy to use. Written in python, boosted by scientific python stack.
User: evfro
collaborative-filtering,Universal User Representation Pre-training for Cross-domain Recommendation and User Profiling
User: fajieyuan
collaborative-filtering,A pure Python implement of Collaborative Filtering based on MovieLens' dataset.
User: fuxuemingzhu
collaborative-filtering,阅读过的推荐系统论文的归类总结,持续更新中…
User: fuxuemingzhu
collaborative-filtering,A C library for product recommendations/suggestions using collaborative filtering (CF)
User: ghamrouni
collaborative-filtering,Gorse open source recommender system engine
Organization: gorse-io
Home Page: https://gorse.io
collaborative-filtering,LibRec: A Leading Java Library for Recommender Systems, see
User: guoguibing
Home Page: https://www.librec.net/
collaborative-filtering,Neural Collaborative Filtering
User: hexiangnan
collaborative-filtering,[WWW'2024] "RLMRec: Representation Learning with Large Language Models for Recommendation"
User: hkuds
Home Page: https://arxiv.org/abs/2310.15950
collaborative-filtering,[WSDM'2024 Oral] "SSLRec: A Self-Supervised Learning Framework for Recommendation"
User: hkuds
Home Page: https://arxiv.org/abs/2308.05697
collaborative-filtering,A Curated List of Must-read Papers on Recommender System.
User: hongleizhang
collaborative-filtering,A tour through recommendation algorithms in python [IN PROGRESS]
User: jrzaurin
collaborative-filtering,PyTorch Implementations For A Series Of Deep Learning-Based Recommendation Models
User: khanhnamle1994
collaborative-filtering,4 different recommendation engines for the MovieLens dataset.
User: khanhnamle1994
Home Page: https://grouplens.org/datasets/movielens/
collaborative-filtering,recommender system tutorial with Python
User: lsjsj92
collaborative-filtering,Versatile End-to-End Recommender System
User: massquantity
Home Page: https://librecommender.readthedocs.io/
collaborative-filtering,This is the repository of our article published in RecSys 2019 "Are We Really Making Much Progress? A Worrying Analysis of Recent Neural Recommendation Approaches" and of several follow-up studies.
User: mauriziofd
collaborative-filtering,Recommender Systems Paperlist that I am interested in
User: mengfeizhang820
collaborative-filtering,recommenderlab - Lab for Developing and Testing Recommender Algorithms - R package
User: mhahsler
collaborative-filtering,Summary of social recommendation papers and codes
User: npxiaoying
collaborative-filtering,Deep learning for recommender systems
Organization: nvidia
collaborative-filtering,Papers about recommendation systems that I am interested in
User: onyukang
collaborative-filtering,A Comparative Framework for Multimodal Recommender Systems
Organization: preferredai
Home Page: https://cornac.preferred.ai
collaborative-filtering,BARS: Towards Open Benchmarking for Recommender Systems https://openbenchmark.github.io/BARS
Organization: reczoo
collaborative-filtering,This repository contains Deep Learning based articles , paper and repositories for Recommender Systems
User: robi56
collaborative-filtering,A unified, comprehensive and efficient recommendation library
Organization: rucaibox
Home Page: https://recbole.io/
collaborative-filtering,Efficient and extensible GNNs enhanced recommender library based on RecBole.
Organization: rucaibox
collaborative-filtering,Scraping publicly-accessible Letterboxd data and creating a movie recommendation model with it that can generate recommendations when provided with a Letterboxd username
User: sdl60660
Home Page: https://bit.ly/movie-recs-letterboxd
collaborative-filtering,A deep matching model library for recommendations & advertising. It's easy to train models and to export representation vectors which can be used for ANN search.
User: shenweichen
Home Page: https://deepmatch.readthedocs.io/en/latest/
collaborative-filtering,Comprehensive and Rigorous Framework for Reproducible Recommender Systems Evaluation
Organization: sisinflab
collaborative-filtering,A developing recommender system in tensorflow2. Algorithm: UserCF, ItemCF, LFM, SLIM, GMF, MLP, NeuMF, FM, DeepFM, MKR, RippleNet, KGCN and so on.
User: sssxccc
collaborative-filtering,Collaborative Memory Network for Recommendation Systems, SIGIR 2018
User: tebesu
collaborative-filtering,AI-related tutorials. Access any of them for free → https://towardsai.net/editorial
Organization: towardsai
Home Page: https://towardsai.net/editorial
collaborative-filtering,A highly-modularized and recommendation-efficient recommendation library based on PyTorch.
Organization: ustcml
Home Page: http://recstudio.org.cn
collaborative-filtering,Next RecSys Library
User: wubinzzu
collaborative-filtering,Neural Graph Collaborative Filtering, SIGIR2019
User: xiangwang1223
collaborative-filtering,Book recommender system using collaborative filtering based on Spark
User: xuefenghuang
collaborative-filtering,Solution to the Debiasing Track of KDD CUP 2020
User: xuetf
Home Page: http://xtf615.com/2020/06/17/KDD-CUP-2020-Debiasing-Rush/
collaborative-filtering,pytorch version of neural collaborative filtering
User: yihong-chen
collaborative-filtering,recommender system library for the CLR (.NET)
User: zenogantner
Home Page: http://mymedialite.net
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