Research on User Profile of Characteristic Towns with Cultural Tourism Based on K-means Clustering

被引：0
|
作者：
Wang, Yali [1 ]
Feng, Lu [1 ]
机构：
[1] Shandong Youth Univ Polit Sci, Sch Econ & Management, Jinan 250000, Shandong, Peoples R China
来源：
PROCEEDINGS OF 2021 2ND INTERNATIONAL CONFERENCE ON ARTIFICIAL INTELLIGENCE AND INFORMATION SYSTEMS (ICAIIS '21) | 2021年
关键词：
User profile; K-means clustering; Culture;
D O I：
10.1145/3469213.3472777
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
User profile is more and more used in scenic spot marketing. Through a survey of 350 consumers in the holy land of Qufu Nishan, this paper adopts the K-means clustering method and finally divides the consumers into five categories, namely research and exchange users, negative inheritance user, cultural-deficient user, carry forward class of users, ignore culture users. By comparing and analyzing the differences of these five types of consumers, this paper hopes to provide some references for the marketing of this characteristic town.
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页数：4
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