A utility-maximization model for retrieving users willingness to travel for participating in activities from big-data
Empirical rules for associating activities to locations via Big Data processing with observed accuracy of more than 90% validated with the use of Social Media traces in London. Utility-Maximization model for capturing users willingness to travel certain distances to participate in different types of activities (results demonstrated with Social Media data). Introduce methods for travelers clustering based on their mobility and activity patterns. Demonstrate how automatic approaches for recognizing mobility and activity patterns can be utilized for suggesting joint activities.
utility-maximization social media joint activity social networks pattern recognition