【論文閱讀】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 隨着位置感知型（location-aware）社交媒體應用的日益普及，興趣點（POI）推薦得到了廣泛的研究。然而
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相關文章
- 1. POI2Vec Geographical Latent Representation for Predicting Future Visitors 論文筆記
- 2. 論文閱讀03——Future Data Helps Training- Modeling Future Contexts for Session-based Recommendation
- 3. 文獻閱讀 - GloVe: Global Vectors for Word Representation
- 4. 論文閱讀Construction of Refined Protein Interaction Network for Predicting Essential Proteins
- 5. 論文《Predicting hypernym–hyponym relations for Chinese taxonomy learning》閱讀筆記
- 6. 論文閱讀——Mockingjay: unsupervised speech representation learning
- 7. 【論文閱讀】Interpreting the Latent Space of GANs for Semantic Face Editing
- 8. RSGAN: Face Swapping and Editing using Face and Hair Representation in Latent Spaces論文閱讀筆記
- 9. 【論文閱讀】Distributed Representation of Sentence and Document
- 10. node2vec論文閱讀