推荐中的序列化建模：Session-based neural recommendation - 代码天地

推荐中的序列化建模：Session-based neural recommendation

其他 2018-07-21 13:21:11 阅读次数: 0

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转载自blog.csdn.net/ycy0706/article/details/78457394

推荐中的序列化建模：Session-based neural recommendation

Session-based neural recommendation

#Reading Paper# 【序列推荐】Session-based Recommendation with Graph Neural Networks

GNN:Session-based Recommendation with Graph Neural Networks简介

Session-based Recommendation with Graph Neural Networks ----2019AAAI

推荐系统----SR-GNN: Session-based Recommendation with Graph Neural Networks

推荐系统——Converged Recommendation System Based on RNN and BP Neural Networks

基于记忆优先级的短序列推荐（Session-based Recommendation）

GNN:Graph Neural Networks for Social Recommendation简介

NAIS:Neural Attentive Item Similarity Model for Recommendation

推荐系统----Leveraging Meta-path based Context for Top-N Recommendation with a Neural Co-attention Model

Session-based Recommendation with Hypergraph Attention Networks sdm2021

【RS】Automatic recommendation technology for learning resources with convolutional neural network - 基于卷积神经网络的学习资源自动推荐技术

Item-based recommendation

Neural factorization for Offer Recommendation using Knowledge Graph Embeddings

NAIS: Neural Attentive Item Similarity Model for Recommendation简析

论文《A Neural Influence Diffusion Model for Social Recommendation》阅读

论文笔记：NAIS: Neural Attentive Item Similarity Model for Recommendation

GNN推荐算法（四）—LESSR：Handling Information Loss of Graph Neural Networks for Session-based Recommen

Storm based realtime recommendation algorithm

session-based recommendation的两个模型对比NARM, STAMP

WordPress Plugins Recommendation 插件推荐

Content based and collaborative filtering based recommendation and personalizati

【文献阅读】 2018-SIGKDD-STAMP:Short-Term Attention/Memory Priority Model for Session-based Recommendation

《Concept-Aware Denoising Graph Neural Network for Micro-Video Recommendation 》解读

［机器学习］content-based recommendation

Translation-based Factorization Machines for Sequential Recommendation

推荐系统入门（Top-N recommendation）

推荐系统——Collaborative Memory Network for Recommendation Systems

Traditional Recommendation Methods（传统推荐系统FM）

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