Analysis of user preference and expectation on shared economy platform: An examination of correlation between points of interest on Airbnb
作者：
Highlights：
• An examination of correlation among Points of Interest (PoI) is investigated.
• The model is applied on two data sets related to 12 well-known European cities.
• The distance from center of city and main subway station of the city for each PoI is evaluated.
• The common types of recommended places for each city are evaluated.
• A cluster-based model is proposed based on distance of each point.
摘要
•An examination of correlation among Points of Interest (PoI) is investigated.•The model is applied on two data sets related to 12 well-known European cities.•The distance from center of city and main subway station of the city for each PoI is evaluated.•The common types of recommended places for each city are evaluated.•A cluster-based model is proposed based on distance of each point.
论文关键词：Sharing economy,Behavior analysis and prediction,User preference,Points of interest (PoI),Things-to-Do,Airbnb
论文评审过程：Received 17 February 2018, Revised 23 August 2018, Accepted 27 September 2018, Available online 6 October 2018, Version of Record 6 April 2020.
论文官网地址：https://doi.org/10.1016/j.chb.2018.09.039
