Research on POIs Recommendation Based on Online Comment Information
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.
POIsOnline commentProspect theoryRecommendation model
NETL
NSTL
万方数据
