基于在线评论信息的商业兴趣点推荐
Research on POIs Recommendation Based on Online Comment Information
姜宏 1曹冬颖1
作者信息
- 1. 沈阳工业大学 管理学院,辽宁 沈阳 110870
- 折叠
摘要
在信息爆炸式增长的背景下,在线评论信息为消费者选择商业兴趣点决策提供了重要依据.依据数量庞大的在线评论信息,考虑消费者的主观风险偏好行为,对具有时空特征的商业兴趣点构建推荐模型,并利用Yelp平台上的真实数据集和Python软件对上述模型进行实验分析.
Abstract
Under the background of explosive growth of information,online comment information provides an important basis for consumers to choose POIs. Therefore,based on a large number of online comment informa-tion,this paper constructed a recommendation model for POIs with temporal and spatial characteristics consid-ering consumers' subjective risk preference behaviors,and used the real data set on Yelp platform and Python software to conduct experimental analysis.
关键词
商业兴趣点/在线评论/前景理论/推荐模型Key words
POIs/Online comment/Prospect theory/Recommendation model引用本文复制引用
出版年
2024
NETL
NSTL
万方数据