論文閱讀13：ENHANCING COLLABORATIVE FILTERING MUSIC RECOMMENDATION BY BALANCING EXPLORATION AND EXPLOITAT
參考論文：ENHANCING COLLABORATIVE FILTERING MUSIC RECOMMENDATION BY BALANCING EXPLORATION AND EXPLOITATION 知乎同文鏈接：https://zhuanlan.zhihu.com/p/41068720 通過平衡探索和開發，增強協同過濾音樂推薦 ABSTRACT 協同過濾技術在音樂推薦應用中取得了巨大的成功。
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相關文章
- 1. 論文閱讀：《Improving Content-based and Hybrid Music Recommendation using Deep Learning》
- 2. 閱讀筆記：Item-based Collaborative Filtering Recommendation Algorithms
- 3. 【論文閱讀】Clustering by Shift
- 4. 推薦系統論文閱讀 Why Does Collaborative Filtering Work?
- 5. 聯邦學習論文閱讀：Federated collaborative filtering
- 6. 【論文閱讀】推薦算法-Recommendations Item-to-Item Collaborative Filtering
- 7. Deep Item-based Collaborative Filtering for Top-N Recommendation 閱讀心得
- 8. session-based recommendation有關的論文閱讀記錄
- 9. RL論文閱讀13-mf-ACER2017
- 10. 論文閱讀 - ExFuse: Enhancing Feature Fusion for Semantic Segmentation