Towards personalized maps : mining user preferences from geo-textual data

• Main Authors: Zhao, Kaiqi, Liu, Yiding, Yuan, Quan, Chen, Lisi, Chen, Zhida, Cong, Gao
• Other Authors: School of Computer Science and Engineering
• Format: Article
• Language: English
• Published: 2019
• Subjects: Engineering::Computer science and engineering; POI Recommendations; Geo-textual Data
• Online Access: https://hdl.handle.net/10356/105714; http://hdl.handle.net/10220/49547; http://dx.doi.org/10.14778/3007263.3007305
• Institution: Nanyang Technological University

Rich geo-textual data is available online and the data keeps increasing at a high speed. We propose two user behavior models to learn several types of user preferences from geo-textual data, and a prototype system on top of the user preference models for mining and search geo-textual data (called Pr...