A Dynamic Recurrent Model for Next Basket Recommendation
基于购物篮的物品推荐系统 简单来说就是根据你买过哪些东西，然后给你推荐新的物品，用过淘宝的应该很好理解。 ABSTRACT 现在大多模型分为两类，一类是时序特性模型（认为前一个买什么对这个有影响，比如前面买了手机，这时很可能买手机壳等装饰品），另一类是总体特性模型（也表现为用户爱好，比如用户买了很多体育器材，猜测用户可能喜欢体育，就可以推荐体育相关用品给用户）。也有一些同时处理这两个问题，然后以某
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相关文章
- 1. 推荐系统论文阅读——Factorizing Personalized Markov Chains for Next-Basket Recommendation
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- 9. Generative Adversarial User Model for Reinforcement Learning Based Recommendation System
- 10. 【阅读笔记】《ReSeg: A Recurrent Neural Network-based Model for Semantic Segmentation》