基于位置社交网络(LBSN)的游客序列活动模式研究
计算机与社会
2018-11-09 v1
摘要
序列模式挖掘是建立特定活动模式与挖掘趋势的重要组成。对游客移动与活动模式的洞察在诸多方面有益于旅游业，例如为游客设计更好的旅游套餐、最大化游客活动参与度以及满足游客需求。本研究提议采用移动社交媒体数据以有效捕捉新加坡游客活动信息，并利用先进的数据挖掘技术提取游客行为的宝贵洞察。本研究提出的方法与发现具有支持旅游管理者与政策制定者在旅游目的地管理中做出更佳决策的潜力。
引用
@article{arxiv.1811.03426,
title = {A Study of Tourist Sequential Activity Patterns through Location Based Social Network (LBSN)},
author = {Anmoila Talpur and Yanchun Zhang},
journal= {arXiv preprint arXiv:1811.03426},
year = {2018}
}
备注
Research Questions 1.What are the most common tourist sequential activity patterns in Singapore? 2.What are the effective methods of sequential activity analysis using the LBSN data in Singapore? 3.What are the most interesting insights resulting from the tourist sequential activity pattern analysis in Singapore?