Topic: recommendation Goto Github
Some thing interesting about recommendation
Some thing interesting about recommendation
recommendation,Paper List for Recommend-system PreTrained Models
User: archersama
recommendation,Fast Python Collaborative Filtering for Implicit Feedback Datasets
User: benfred
Home Page: https://benfred.github.io/implicit/
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
recommendation,This is our implementation of EHCF: Efficient Heterogeneous Collaborative Filtering (AAAI 2020)
User: chenchongthu
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
recommendation,This is our implementation of NARRE:Neural Attentional Regression with Review-level Explanations
User: chenchongthu
recommendation,An Open-source Toolkit for Deep Learning based Recommendation with Tensorflow.
User: cheungdaven
recommendation,This repository includes some papers that I have read or which I think may be very interesting.
User: daicoolb
recommendation,RecDB is a recommendation engine built entirely inside PostgreSQL
Organization: datasystemslab
recommendation,Experimental codes for paper "Outer Product-based Neural Collaborative Filtering".
User: duxy-me
Home Page: https://github.com/duxy-me/ConvNCF
recommendation,MTReclib provides a PyTorch implementation of multi-task recommendation models and common datasets.
User: easezyc
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
recommendation,A curated list of awesome resources about multimodal recommender systems.
User: enoche
recommendation,Factorization Machines for Recommendation and Ranking Problems with Implicit Feedback Data
User: etlundquist
recommendation,Universal User Representation Pre-training for Cross-domain Recommendation and User Profiling
User: fajieyuan
recommendation,BERT4Rec: Sequential Recommendation with Bidirectional Encoder Representations from Transformer
User: feisun
recommendation,Deep-Learning based CTR models implemented by PyTorch
User: github-hongweizhang
recommendation,Download and preprocess popular sequential recommendation datasets
User: guocheng18
recommendation,[ICLR'2023] "LightGCL: Simple Yet Effective Graph Contrastive Learning for Recommendation"
User: hkuds
Home Page: https://arxiv.org/abs/2302.08191
recommendation,[WWW'2024] "RLMRec: Representation Learning with Large Language Models for Recommendation"
User: hkuds
Home Page: https://arxiv.org/abs/2310.15950
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
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
recommendation,
User: lystdo
Home Page: https://www.kaggle.com/c/kkbox-music-recommendation-challenge/discussion/45942
recommendation,Revisiting Graph based Collaborative Filtering: A Linear Residual Graph Convolutional Network Approach, AAAI2020
User: newlei
recommendation,A Python scikit for building and analyzing recommender systems
User: nicolashug
Home Page: http://surpriselib.com
recommendation,Papers about recommendation systems that I am interested in
User: onyukang
recommendation,Officially maintained, supported by PaddlePaddle, including CV, NLP, Speech, Rec, TS, big models and so on.
Organization: paddlepaddle
recommendation,Graph Neural Network based Social Recommendation Model. SIGIR2019.
User: peijiesun
recommendation,A tutorial series by Preferred.AI
Organization: preferredai
Home Page: https://preferred.ai
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
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
recommendation,Best Practices on Recommendation Systems
Organization: recommenders-team
Home Page: https://recommenders-team.github.io/recommenders/intro.html
recommendation,CRSLab is an open-source toolkit for building Conversational Recommender System (CRS).
Organization: rucaibox
Home Page: https://github.com/RUCAIBox/CRSLab
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
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/
recommendation,Several sequential recommended models implemented by tenosrflow1.x
User: slientge
recommendation,主流推荐系统Rank算法的实现
User: tangxyw
recommendation,Source code and dataset for KDD 2020 paper "Controllable Multi-Interest Framework for Recommendation"
Organization: thudm
recommendation,The official implementation of "Disentangling User Interest and Conformity for Recommendation with Causal Embedding" (WWW '21)
Organization: tsinghua-fib-lab
recommendation,An index of recommendation algorithms that are based on Graph Neural Networks. (TORS)
Organization: tsinghua-fib-lab
recommendation,A PyTorch implementation of Graph Neural Networks for Social Recommendation (GraphRec)
User: wang-shuo
recommendation,A PyTorch implementation of Neural Attentive Session Based Recommendation (NARM)
User: wang-shuo
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,술 알고 마시자! 알고 마시면 더 맛있는 술! 당신을 위한 술을 추천해드립니다.
Organization: woowacourse-teams
Home Page: https://jujeol-jujeol.com/
recommendation,Classic papers and resources on recommendation
User: wzhe06
Home Page: https://github.com/wzhe06/Reco-papers
recommendation,Disentagnled Graph Collaborative Filtering, SIGIR2020
User: xiangwang1223
recommendation,Neural Graph Collaborative Filtering, SIGIR2019
User: xiangwang1223
recommendation,OpenRec is an open-source and modular library for neural network-inspired recommendation algorithms
User: ylongqi
Home Page: http://www.openrec.ai
recommendation,基于tensorflow的个性化电影推荐系统实战(有前端)
User: zainzhao
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