Behavior Sequence Transformer For E-Commerce Recommendation In Alibaba. In this paper, we propose to use the powerful transformer model to capture the sequential signals underlying users' behavior sequences for recommendation in alibaba. The blue social bookmark and publication sharing system.
BERT 在推荐系统领域可能会有什么作为？ 知乎 from www.zhihu.com
This paper proposes to use the powerful transformer model to capture the sequential signals underlying users' behavior sequences for recommendation in alibaba and demonstrates the. In this paper, we propose to use the powerful transformer model to capture the sequential signals underlying users' behavior sequences for recommendation in alibaba. The blue social bookmark and publication sharing system.
The Configuration Of Bst, And The Meaning Of The Parameters Can Be Inferred From Their Names.
Since this work is focused on modeling the behavior sequence with transformer,. The blue social bookmark and publication sharing system. In this paper, we propose to use the powerful transformer model to capture the sequential signals underlying users' behavior sequences for recommendation in alibaba.
Given A User’s Behavior Sequence S(U) = {V1,V2,.,Vn}.
This paper proposes to use the powerful transformer model to capture the sequential signals underlying users' behavior sequences for recommendation in alibaba and demonstrates the.
