論文閱讀筆記：Low-rank Linear Cold-Start Recommendation from Social Data
論文：Low-rank Linear Cold-Start Recommendation from Social Data / 利用社交數據進行低秩線性冷啓動推薦 作者：Suvash Sedhain, Aditya Krishna Menon, Scott Sanner, Lexing Xie, Darius Braziunas 發表刊物：AAAI 發表年度：2017 下載地址：http://cm
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相關文章
- 1. 《Group-Buying Recommendation for Social E-Commerce》論文閱讀筆記
- 2. 論文閱讀筆記：From Zero-Shot Learning to Cold-Start Recommendation
- 3. 論文《CROSS: Cross-Platform Recommendation for Social E-Commerce》閱讀
- 4. [論文閱讀筆記] Survey_History from AlexNet
- 5. From Depth Data to Head Pose Estimation: a Siamese approach----論文閱讀筆記
- 6. Robust and Communication-Efficient Federated Learning From Non-i.i.d. Data 論文閱讀筆記
- 7. Estimating Conversion Rate in Display Advertising from Past Performance Data 論文閱讀筆記
- 8. 論文閱讀筆記《Low-Shot Learning from Imaginary Data》
- 9. 論文閱讀：AutoAugment: Learning Augmentation Strategies from Data
- 10. 【論文閱讀筆記】Random Erasing Data Augmentation