A Dynamic Recurrent Model for Next Basket Recommendation
基於購物籃的物品推薦系統 簡單來說就是根據你買過哪些東西，然後給你推薦新的物品，用過淘寶的應該很好理解。 ABSTRACT 現在大多模型分爲兩類，一類是時序特性模型（認爲前一個買什麼對這個有影響，比如前面買了手機，這時很可能買手機殼等裝飾品），另一類是總體特性模型（也表現爲用戶愛好，比如用戶買了很多體育器材，猜測用戶可能喜歡體育，就可以推薦體育相關用品給用戶）。也有一些同時處理這兩個問題，然後以某
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相關文章
- 1. 推薦系統論文閱讀——Factorizing Personalized Markov Chains for Next-Basket Recommendation
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- 5. Deep Learning Recommendation Model for Personalization and Recommendation Systems
- 6. RKGE Recurrent Knowledge Graph Embedding for Effective Recommendation 論文
- 7. A Novel GRU-RNN Network Model for Dynamic Path Planning of Mobile Robot
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- 10. 【閱讀筆記】《ReSeg: A Recurrent Neural Network-based Model for Semantic Segmentation》