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
相关文章
- 1. 推荐系统论文阅读——Factorizing Personalized Markov Chains for Next-Basket Recommendation
- 2. Recurrent Knowledge Graph Embedding for Effective Recommendation
- 3. Controllable Multi-Interest Framework for Recommendation
- 4. recurrent model for visual attention
- 5. Deep Learning Recommendation Model for Personalization and Recommendation Systems
- 6. RKGE Recurrent Knowledge Graph Embedding for Effective Recommendation 论文
- 7. A Novel GRU-RNN Network Model for Dynamic Path Planning of Mobile Robot
- 8. 论文笔记A Review-Driven Neural Model for Sequential Recommendation
- 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》
- 更多相关文章...
- • PHP next() 函数 - PHP参考手册
- • Scala for循环 - Scala教程
- • 算法总结-双指针
- • 算法总结-广度优先算法
相关标签/搜索
每日一句
-
每一个你不满意的现在，都有一个你没有努力的曾经。
欢迎关注本站公众号,获取更多信息
相关文章
- 1. 推荐系统论文阅读——Factorizing Personalized Markov Chains for Next-Basket Recommendation
- 2. Recurrent Knowledge Graph Embedding for Effective Recommendation
- 3. Controllable Multi-Interest Framework for Recommendation
- 4. recurrent model for visual attention
- 5. Deep Learning Recommendation Model for Personalization and Recommendation Systems
- 6. RKGE Recurrent Knowledge Graph Embedding for Effective Recommendation 论文
- 7. A Novel GRU-RNN Network Model for Dynamic Path Planning of Mobile Robot
- 8. 论文笔记A Review-Driven Neural Model for Sequential Recommendation
- 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》