推荐系统——Collaborative User Network Embedding for Social Recommender Systems - 代码天地

推荐系统——Collaborative User Network Embedding for Social Recommender Systems

其他 2018-07-18 12:09:32 阅读次数: 0

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转载自blog.csdn.net/manduner/article/details/81083971

推荐系统——Collaborative User Network Embedding for Social Recommender Systems

推荐系统论文笔记（7）：A survey of collaborative filtering based social recommender systems

推荐系统——Collaborative Variational Autoencoder for Recommender Systems

推荐系统（Recommender Systems）

Recommender Systems(推荐系统)

推荐系统——Collaborative Memory Network for Recommendation Systems

推荐系统——A Hybrid Collaborative Filtering Model with Deep Structure for Recommender Systems

推荐系统论文笔记（11）：Social networking meets recommender systems:survey

推荐系统：Recommender Systems 简介

推荐系统论文笔记（10）：Recommender systems based on user reviews:the state of the art

推荐系统——Matrix factorization techniques for recommender systems

推荐系统——Exploiting Emotion on Reviews for Recommender Systems

机器学习（十一）-------- 推荐系统(Recommender Systems)

简单推荐系统(Recommender Systems)的设计与实现

RippleNet: Propagating User Preferences on the Knowledge Graph for Recommender Systems

《Collaborative Memory Network for Recommendation Systems》推荐系统之协同记忆网络CMN

论文笔记之 Collaborative Deep Learning for Recommender Systems

机器学习笔记8——推荐系统Recommender Systems

推荐系统——Confidence-Aware Matrix Factorization for Recommender Systems

推荐系统综述：A review on deep learning for recommender systems: challenges and remedies

GNN 推荐系统综述 - Graph Neural Networks in Recommender Systems: A Survey

Deep collaborative embedding for social image understanding 论文阅读笔记

推荐算法 | 《Latent Cross: Making Use of Context in Recurrent Recommender Systems》

论文笔记：Aligning Users Across Social Network Using Network Embedding

A smooth collaborative recommender system 推荐系统-浅显了解

《Collaborative Deep Learning for Recommender Systems》整理以及未理解的部分问题（求解答）

论文笔记：Collaborative Denoising Auto-Encoders for Top-N Recommender Systems

推荐系统——Improved Bounded Matrix Completion for Large-Scale Recommender Systems

推荐系统——Micro behaviors: A new perspective in e-commerce recommender systems

推荐系统——Dual-regularized matrix factorization with deep neural networks for recommender systems

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