【论文阅读】 2014SIGIR - Explicit Factor Models for Explainable Recommendation based on Phrase-level Senti

时间 2020-12-30

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【论文阅读】 2014SIGIR - Explicit Factor Models for Explainable Recommendation based on Phrase-level Sentiment Analysis 1.一些概念定义首先，文章根据用户对物品的评论，采用情感分析等自然语言手段，构建user-feature 矩阵 X、item-feature矩阵 Y 和user-item

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1. 论文阅读笔记 ---《Explainable Framework for TextClassiﬁcation 》
2. 论文阅读《Graph Contextualized Self-Attention Network for Session-based Recommendation》
3. 论文阅读03——Future Data Helps Training- Modeling Future Contexts for Session-based Recommendation
4. Tree-enhanced Embedding Model for Explainable Recommendation阅读笔记
5. 笔记：《Transparent, Scrutable and Explainable User Models for Personalized Recommendation》
6. 论文阅读：《A Primer on Neural Network Models for Natural Language Processing》（一）
7. 论文阅读：《A Primer on Neural Network Models for Natural Language Processing》（二）
8. Explainable Reasoning over Knowledge Graphs for Recommendation
9. 论文Reinforcement Knowledge Graph Reasoning for Explainable Recommendation笔记
10. 论文阅读——LADDERNET: MULTI-PATH NETWORKS BASED ON U-NET FOR MEDICAL IMAGE SEGMENTATION

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