Topic: recommendation Goto Github

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archersama / awesome-recommend-system-pretraining-papers
recommendation,Paper List for Recommend-system PreTrained Models
User: archersama
papers pretraining pretraining-for-ir recommender-system pretraining-paper ctr-prediction recommendation llm paper large-language-model

benfred / implicit
recommendation,Fast Python Collaborative Filtering for Implicit Feedback Datasets
User: benfred
Home Page: https://benfred.github.io/implicit/
collaborative-filtering machine-learning matrix-factorization recommender-system recommendation-system recommendation

charlesxu86 / chatbot_cn
recommendation,基于金融-司法领域(兼有闲聊性质)的聊天机器人，其中的主要模块有信息抽取、NLU、NLG、知识图谱等，并且利用Django整合了前端展示,目前已经封装了nlp和kg的restful接口
User: charlesxu86
deep-learning chatbot-cn tenserflow-serving intent-detection django-restful reinforcement-learning knowledge-graph slot-filling dialogue-systems ir

chenchongthu / ehcf
recommendation,This is our implementation of EHCF: Efficient Heterogeneous Collaborative Filtering (AAAI 2020)
User: chenchongthu
recommender-system multi-behavior heterogeneous-information-networks efficient-algorithm neural neural-networks recommendation multi-relational

chenchongthu / enmf
recommendation,This is our implementation of ENMF: Efficient Neural Matrix Factorization (TOIS. 38, 2020). This also provides a fair evaluation of existing state-of-the-art recommendation models.
User: chenchongthu
deep-learning recommender-system efficient-algorithm recommendation evaluation state-of-the-art collaborative-filtering reproducibility reproducible-research sigir

chenchongthu / narre
recommendation,This is our implementation of NARRE:Neural Attentional Regression with Review-level Explanations
User: chenchongthu
deep-learning recommender-system attention-mechanism review-usefulness recommendation

cheungdaven / deeprec
recommendation,An Open-source Toolkit for Deep Learning based Recommendation with Tensorflow.
User: cheungdaven
recommender-systems deep-learning tensorflow recommendation recommendation-system neural-network python collaborative-filtering rating-prediction top-n-recommendations

daicoolb / recommendersystem-paper
recommendation,This repository includes some papers that I have read or which I think may be very interesting.
User: daicoolb
paper recommendation deeplearning cold-start

datasystemslab / recdb-postgresql
recommendation,RecDB is a recommendation engine built entirely inside PostgreSQL
Organization: datasystemslab
recommendation-algorithms database recommendation-engine recommender-system recommendation recommendation-system machine-learning

duxy-me / convncf
recommendation,Experimental codes for paper "Outer Product-based Neural Collaborative Filtering".
User: duxy-me
Home Page: https://github.com/duxy-me/ConvNCF
convolutional-neural-networks neural-collaborative-filtering recommendation

easezyc / multitask-recommendation-library
recommendation,MTReclib provides a PyTorch implementation of multi-task recommendation models and common datasets.
User: easezyc
multitask-learning recommendation recommender-system advertising multitask-recommendation transfer-learning ctr-prediction

easezyc / wsdm2022-ptupcdr
recommendation,This is the official implementation of our paper Personalized Transfer of User Preferences for Cross-domain Recommendation (PTUPCDR), which has been accepted by WSDM2022.
User: easezyc
cross-domain-recommendation recommendation recommendation-system transfer-learning

enoche / multimodalrecsys
recommendation,A curated list of awesome resources about multimodal recommender systems.
User: enoche
multimodal recommendation recommender-system

etlundquist / rankfm
recommendation,Factorization Machines for Recommendation and Ranking Problems with Implicit Feedback Data
User: etlundquist
machine-learning recommendation factorization-machines recommender-system learning-to-rank implicit-feedback collaborative-filtering

fajieyuan / sigir2020_peterrec
recommendation,Universal User Representation Pre-training for Cross-domain Recommendation and User Profiling
User: fajieyuan
transfer-learning recommender-system cold-start user profiling recommendation transfer representation-learning lifelong-learning continual-learning

feisun / bert4rec
recommendation,BERT4Rec: Sequential Recommendation with Bidirectional Encoder Representations from Transformer
User: feisun
sequential-recommendation recommendation

github-hongweizhang / prediction-flow
recommendation,Deep-Learning based CTR models implemented by PyTorch
User: github-hongweizhang
pytorch ctr ctr-prediction deep-learning deepfm deepinterestnetwork dnn deepneuralnetworks din recommendation

guocheng18 / sequential-recommendation-datasets
recommendation,Download and preprocess popular sequential recommendation datasets
User: guocheng18
datasets movielens gowalla lastfm amazon foursquare yelp citeulike tafeng taobao

hkuds / lightgcl
recommendation,[ICLR'2023] "LightGCL: Simple Yet Effective Graph Contrastive Learning for Recommendation"
User: hkuds
Home Page: https://arxiv.org/abs/2302.08191
graph-contrastive-learning recommendation self-supervised-learning collaborative-filtering graph-neural-networks

hkuds / rlmrec
recommendation,[WWW'2024] "RLMRec: Representation Learning with Large Language Models for Recommendation"
User: hkuds
Home Page: https://arxiv.org/abs/2310.15950
collaborative-filtering graph-neural-networks large-language-models recommendation recommender-systems

imsheridan / deeprec
recommendation,推荐、广告工业界经典以及最前沿的论文、资料集合/ Must-read Papers on Recommendation System and CTR Prediction
User: imsheridan
deep-learning recommendation-system recommendation reinforcement-learning exploration-exploitation computational-advertising

lbdeoliveira / song-playlist-recommendation
recommendation,This project was a joint effort by Lucas De Oliveira, Chandrish Ambati, and Anish Mukherjee to create a song and playlist embeddings for recommendations in a distributed fashion using a 1M playlist dataset by Spotify.
User: lbdeoliveira
deep-learning distributed-computing music pyspark pyspark-mllib recommendation spotify word2vec mongodb

lystdo / codes-for-wsdm-cup-music-rec-1st-place-solution
recommendation,
User: lystdo
Home Page: https://www.kaggle.com/c/kkbox-music-recommendation-challenge/discussion/45942
recommendation

newlei / lr-gccf
recommendation,Revisiting Graph based Collaborative Filtering: A Linear Residual Graph Convolutional Network Approach, AAAI2020
User: newlei
collaborative-filtering graph-neural-networks aaai2020 pytorch graph-based-recommendation recommendation

nicolashug / surprise
recommendation,A Python scikit for building and analyzing recommender systems
User: nicolashug
Home Page: http://surpriselib.com
recommender systems recommendation svd matrix factorization machine-learning

onyukang / recommendation-systems-paperlist
recommendation,Papers about recommendation systems that I am interested in
User: onyukang
deep-learning social-network explainable-recommendations collaborative-filtering multi-armed-bandit recommendation recommender-system session-based-recommendation-system survey

paddlepaddle / models
recommendation,Officially maintained, supported by PaddlePaddle, including CV, NLP, Speech, Rec, TS, big models and so on.
Organization: paddlepaddle
paddlepaddle deep-learning neural-network computer-vision natural-language-processing recommendation speech nlp cv models

peijiesun / diffnet
recommendation,Graph Neural Network based Social Recommendation Model. SIGIR2019.
User: peijiesun
gcn gnn graph-neural-network graph-convolutional-network neural-graph recommendation social-recommendation sigir2019 neural-network neural-network-graph

preferredai / tutorials
recommendation,A tutorial series by Preferred.AI
Organization: preferredai
Home Page: https://preferred.ai
tutorial tensorflow image-classification sentiment-analysis recommender-systems deep-learning recommendation information-retrieval

qiaoguan / deep-ctr-prediction
recommendation,CTR prediction models based on deep learning(基于深度学习的广告推荐CTR预估模型)
User: qiaoguan
Home Page: https://github.com/qiaoguan/deep-ctr-prediction
ctr ctr-prediction ad-algorithm deep-ctr recommendation-algorithms esmm deep-interest-network deepfm deep-cross resnet

rainym00d / llm4rs
recommendation,the official implementation of the RecSys 2023 paper “Uncovering ChatGPT's Capabilities in Recommender Systems”
User: rainym00d
Home Page: https://arxiv.org/abs/2305.02182
chatgpt information-retrieval large-language-model learn-to-rank recommendation recommender-system llm rs

recommenders-team / recommenders
recommendation,Best Practices on Recommendation Systems
Organization: recommenders-team
Home Page: https://recommenders-team.github.io/recommenders/intro.html
machine-learning recommender ranking deep-learning python jupyter-notebook recommendation-algorithm rating operationalization kubernetes

rucaibox / crslab
recommendation,CRSLab is an open-source toolkit for building Conversational Recommender System (CRS).
Organization: rucaibox
Home Page: https://github.com/RUCAIBox/CRSLab
conversational-recommendation pytorch graph-neural-network pretrained-models human-machine-interaction deep-learning dialog-system recommender-system conversation-system recommendation text-generation knowledge-graph

shenweichen / deepctr
recommendation,Easy-to-use,Modular and Extendible package of deep-learning based CTR models .
User: shenweichen
Home Page: https://deepctr-doc.readthedocs.io/en/latest/index.html
ctr click-through-rate deep-learning factorization-machines deepfm ffm nfm mlr din deepinterestnetwork

shenweichen / deepmatch
recommendation,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/
dssm youtubednn mind collaborative-filtering factorization-machines matching recommendation comirec

slientge / sequential_recommendation_tensorflow
recommendation,Several sequential recommended models implemented by tenosrflow1.x
User: slientge
recommendation tensorflow python caser gru4rec attrec fpmc transrec sequential-recommendation sasrec

tangxyw / recalgorithm
recommendation,主流推荐系统Rank算法的实现
User: tangxyw
recommendation ffm pnn nfm afm dcn deepcrossing wide-and-deep deepfm xdeepfm

thudm / comirec
recommendation,Source code and dataset for KDD 2020 paper "Controllable Multi-Interest Framework for Recommendation"
Organization: thudm
recommendation recommender-system multi-interest controllable

thuwangcy / rechorus
recommendation,“Chorus” of recommendation models: a light and flexible PyTorch framework for Top-K recommendation.
User: thuwangcy
recommendation framework pytorch ranking

tsinghua-fib-lab / dice
recommendation,The official implementation of "Disentangling User Interest and Conformity for Recommendation with Causal Embedding" (WWW '21)
Organization: tsinghua-fib-lab
causality causal-inference recommender-system recommendation-system recommendation

tsinghua-fib-lab / gnn-recommender-systems
recommendation,An index of recommendation algorithms that are based on Graph Neural Networks. (TORS)
Organization: tsinghua-fib-lab
gnn graph-neural-networks gcn graph-convolutional-networks recommendation-system recommendation recommendation-algorithms recommender-system graph-representation-learning information-retrieval

wang-shuo / graphrec_pytorch
recommendation,A PyTorch implementation of Graph Neural Networks for Social Recommendation (GraphRec)
User: wang-shuo
graph-neural-networks pytorch recommendation social-recommendation

wang-shuo / neural-attentive-session-based-recommendation-pytorch
recommendation,A PyTorch implementation of Neural Attentive Session Based Recommendation (NARM)
User: wang-shuo
recommendation pytorch session-based-recommendation-system

wangj1106 / recommendmoteur
recommendation,电影推荐系统、电影推荐引擎、使用Spark完成的电影推荐引擎
User: wangj1106
recommendation-engine recommender-system recommendation movies als spark spark-streaming spark-sql flume kafka

woowacourse-teams / 2021-jujeol-jujeol
recommendation,술 알고 마시자! 알고 마시면 더 맛있는 술! 당신을 위한 술을 추천해드립니다.
Organization: woowacourse-teams
Home Page: https://jujeol-jujeol.com/
drinks alcohol recommendation react java typescript react-query spring-boot jpa

wzhe06 / reco-papers
recommendation,Classic papers and resources on recommendation
User: wzhe06
Home Page: https://github.com/wzhe06/Reco-papers
recommender-system deep-learning machine-learning recommendation exploration-exploitation reinforcement-learning

xiangwang1223 / disentangled_graph_collaborative_filtering
recommendation,Disentagnled Graph Collaborative Filtering, SIGIR2020
User: xiangwang1223
collaborative-filtering disentangled-graph-neural-networks disentangled-representations distance-correlation graph-neural-networks independence-modeling neural-collaborative-filtering personalized-recommendation recommendation recommender-system sigir2020

xiangwang1223 / neural_graph_collaborative_filtering
recommendation,Neural Graph Collaborative Filtering, SIGIR2019
User: xiangwang1223
collaborative-filtering graph-neural-network high-order-connectivity neural-collaborative-filtering personalized-recommendation recommendation recommender-system sigir2019

ylongqi / openrec
recommendation,OpenRec is an open-source and modular library for neural network-inspired recommendation algorithms
User: ylongqi
Home Page: http://www.openrec.ai
recommendation-system deep-learning machine-learning ml deep-neural-networks recommendation recommendation-algorithm

zainzhao / personalized-recommend
recommendation,基于tensorflow的个性化电影推荐系统实战(有前端)
User: zainzhao
deep-learning recommendation recommendation-system tensorflow