【论文阅读】POI2Vec: Geographical Latent Representation for Predicting Future Visitors
《POI2Vec: Geographical Latent Representation for Predicting Future Visitors》 Shanshan Feng, Gao Cong, Bo An, Yeow Meng Chee. 2017,AAAI Abstract 随着位置感知型（location-aware）社交媒体应用的日益普及，兴趣点（POI）推荐得到了广泛的研究。然而
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相关文章
- 1. POI2Vec Geographical Latent Representation for Predicting Future Visitors 论文笔记
- 2. 论文阅读03——Future Data Helps Training- Modeling Future Contexts for Session-based Recommendation
- 3. 文献阅读 - GloVe: Global Vectors for Word Representation
- 4. 论文阅读Construction of Refined Protein Interaction Network for Predicting Essential Proteins
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- 6. 论文阅读——Mockingjay: unsupervised speech representation learning
- 7. 【论文阅读】Interpreting the Latent Space of GANs for Semantic Face Editing
- 8. RSGAN: Face Swapping and Editing using Face and Hair Representation in Latent Spaces论文阅读笔记
- 9. 【论文阅读】Distributed Representation of Sentence and Document
- 10. node2vec论文阅读