云南师范大学学报（自然科学版）2024，Vol.44Issue(1)：30-34,5.DOI:10.7699/j.ynnu.ns-2024-007
基于压缩-激励网络双塔模型的卷烟推荐算法
Cigarette Recommendation Algorithm Based on the SENET Dual-tower Model
摘要
Abstract
This article employs the squeeze and excitation network(SENET)to construct a dual-tower recommendation model and investigates the cigarette consumption recommendation problem.Based on a long-term collected dataset containing user,product,and historical interaction information,the SENET dual-tower recommendation model is used to model the dataset and predict users'cigarette consumption behavior.The experimental results of this article show that the cigarette consumption recommendation model based on SENET dual-tower architecture has advantages in obtaining interac-tion information between consumers and products.Compared with traditional recommendation algo-rithms,the SENET dual-tower recommendation model has better recommendation performance.关键词
SENET双塔模型/推荐系统/卷烟消费Key words
SENET dual-tower model/Recommender systems/Cigarette consumption分类
信息技术与安全科学引用本文复制引用
魏胤楠,陈越昆,宋柏直,施伟..基于压缩-激励网络双塔模型的卷烟推荐算法[J].云南师范大学学报（自然科学版）,2024,44(1):30-34,5.基金项目
云南中烟工业有限责任公司科技资助项目(2018QT03). （2018QT03）
