计算机应用与软件2024，Vol.41Issue(4)：291-296,6.DOI:10.3969/j.issn.1000-386x.2024.04.043
融合门控注意力机制与双线性特征交互的推荐模型
A RECOMMENDATION MODEL COMBINING GATING ATTENTION MECHANISM AND BILINEAR FEATURE INTERACTION
何昌隆 1文斌1
作者信息
- 1. 成都信息工程大学通信工程学院 四川成都 610225
- 折叠
摘要
Abstract
In order to accurately express the users'true preferences in a single type of recommendation such as movies and books,and fully capture the effective features in the recommendation data,a recommendation model that integrates the gating attention mechanism and bilinear feature interaction is proposed.This model used the attention unit integrated into the gated mechanism to model the user's local explicit preferences and used bilinear feature interaction layer to mine the long-term general preferences of users to improve the learning ability of the deep recommendation model.Experiments were conducted on two public data sets,Amazon(Books)and MovieLens-1M.The experimental results show that the proposed model has a certain degree of improvement in recommendation effect compared with other recommendation models.关键词
推荐系统/深度学习/注意力机制/双线性函数/多层感知机Key words
Recommendation system/Deep learning/Attention mechanism/Bilinear function/Multilayer perceptron分类
信息技术与安全科学引用本文复制引用
何昌隆,文斌..融合门控注意力机制与双线性特征交互的推荐模型[J].计算机应用与软件,2024,41(4):291-296,6.
