【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
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
- 更多相關文章...
- • RSS 閱讀器 - RSS 教程
- • PHP 實例 - AJAX RSS 閱讀器 - PHP教程
- • JDK13 GA發佈：5大特性解讀
- • Scala 中文亂碼解決
相關標籤/搜索
每日一句
-
每一个你不满意的现在，都有一个你没有努力的曾经。
最新文章
- 1. Window下Ribbit MQ安裝
- 2. Linux下Redis安裝及集羣搭建
- 3. shiny搭建網站填坑戰略
- 4. Mysql8.0.22安裝與配置詳細教程
- 5. Hadoop安裝及配置
- 6. Python爬蟲初學筆記
- 7. 部署LVS-Keepalived高可用集羣
- 8. keepalived+mysql高可用集羣
- 9. jenkins 公鑰配置
- 10. HA實用詳解
歡迎關注本站公眾號,獲取更多信息
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