摘要
随着网络时代的飞速发展,网民数量大幅度增长及各种应用软件的蜂拥而现,信息推送成为计算机行业研究的热门领域。本文针对协同过滤推送算法存在的商品冷启动及用户偏好的稀疏问题,提出基于本体的协同过滤信息推送算法。采取与本体结合的方式,在推送过程中建立商品的部分领域本体,通过本体的概念层次结构关系和概念之间的关系与用户兴趣词之间产生关联,进而对用户的兴趣词进行词义扩展,将与研究领域相关的服务推送给用户,使其推送内容更为丰富,弥补传统的协同过滤推送算法存在的不足,更能满足消费者的需求。
With the rapid development of the network era,the large-scale increase of the number of netizens and the flocking of various applications,information push has become a hot field of computer industry research.In this paper,an ontology-based collaborative filtering information push algorithm is proposed for the cold start of product and sparse user preference in collaborative filtering push algorithm.By combining with ontology,establishing some domain ontology of goods in the process of pushing,through the relationship between the concept hierarchy of ontology and the relationship between concepts and the words users prefer,the meaning of these words is extended and push services related to the field of research is offered to users.This type of push makes up for the shortcomings of the traditional collaborative filtering push algorithm,and can better meet the needs of consumers.
作者
王红霞
钟爱琳
WANG Hongxia;ZHONG Ailin(Shenyang Ligong University,Shenyang 110159,China)
出处
《沈阳理工大学学报》
CAS
2020年第1期44-48,共5页
Journal of Shenyang Ligong University
基金
辽宁省高等学校创新人才项目(LR2017072)
辽宁省自然科学基金计划指导计划项目(2019-ZD-0249).
关键词
信息推送
协同过滤推送算法
本体
information push
cooperative filtering push algorithm
ontology
