FAGRec: Alleviating data sparsity in POI recommendations via the feature-aware graph learning
Point-of-interest (POI) recommendation has attracted great attention in the field of recommender systems over the past decade. Various techniques, such as those based on matrix factorization and deep neural networks, have demonstrated outstanding performance. However, these methods are susceptible t...
| 出版年: | Electronic Research Archive |
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| 主要な著者: | , |
| フォーマット: | 論文 |
| 言語: | 英語 |
| 出版事項: |
AIMS Press
2024-04-01
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| 主題: | |
| オンライン･アクセス: | https://www.aimspress.com/article/doi/10.3934/era.2024123?viewType=HTML |