Conference proceeding
Characterizing the Life Cycle of Point of Interests Using Human Mobility Patterns
UBICOMP'16: PROCEEDINGS OF THE 2016 ACM INTERNATIONAL JOINT CONFERENCE ON PERVASIVE AND UBIQUITOUS COMPUTING, pp 1052-1063
01 Jan 2016
Abstract
A Point of Interest (POI) refers to a specific location that people may find useful or interesting. While a large body of research has been focused on identifying and recommending POIs, there are few studies on characterizing the life cycle of POIs. Indeed, a comprehensive understanding of POI life cycle can be helpful for various tasks, such as urban planning, business site selection, and real estate evaluation. In this paper, we develop a framework, named POLIP, for characterizing tree POI life cycle with multiple data sources. Specifically, to investigate the POI evolution process over time, we first formulate a serial classification problem to predict the life status of POIs. The prediction approach is designed to integrate two important perspectives: 1) the spatial-temporal dependencies associated with the prosperity of POIs, and 2) the human mobility dynamics hidden in the citywide taxicab data related to the POIs at multiple granularity levels, In addition, based on the predicted life statuses in successive time windows for a given POI, we design an algorithm to characterize its life cycle. Finally, we performed extensive experiments using large-scale and real-world datasets. The results demonstrate the feasibility in automatic characterizing POI life cycle and shed important light on future research directions.
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Details
- Title
- Characterizing the Life Cycle of Point of Interests Using Human Mobility Patterns
- Creators
- Xinjiang Lu - Northwestern Polytechnical UniversityZhiwen Yu - Northwestern Polytechnical UniversityLeilei Sun - Dalian University of TechnologyChuanren Liu - Drexel UniversityHui Xiong - Rutgers, The State University of New JerseyChu Guan - University of Science and Technology of ChinaAssoc Comp MachineryXuanyong Lu - Microbiology and Immunology
- Publication Details
- UBICOMP'16: PROCEEDINGS OF THE 2016 ACM INTERNATIONAL JOINT CONFERENCE ON PERVASIVE AND UBIQUITOUS COMPUTING, pp 1052-1063
- Conference
- UBICOMP'16: 2016 ACM INTERNATIONAL JOINT CONFERENCE ON PERVASIVE AND UBIQUITOUS COMPUTING
- Publisher
- Assoc Computing Machinery
- Number of pages
- 12
- Grant note
- 61373119; 61332005; 61402369 / National Natural Science Foundation of China; National Natural Science Foundation of China (NSFC) Microsoft 2015CB352400 / National Basic Research Program of China
- Resource Type
- Conference proceeding
- Language
- English
- Academic Unit
- Microbiology and Immunology
- Web of Science ID
- WOS:000455942400096
- Scopus ID
- 2-s2.0-84991497846
- Other Identifier
- 991019173562004721
InCites Highlights
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- Collaboration types
- Domestic collaboration
- International collaboration
- Web of Science research areas
- Computer Science, Theory & Methods
- Engineering, Electrical & Electronic