Here presented are systems and methods for dynamically generating a user profile based on a travel-related behavior pattern, including a set of attribute types, with a customized attribute range. Implementations may be configured to create an initial model of a user by analyzing and recording their interactions with other users in a social network to update and adjust that initial model; adapted to receive a predefined profile corresponding to their selected profile type and aligned with user information corresponding to the unique identification information of profiles retrieved from the database. This will be collected over a period of time through population of data such as travel characteristics, personality traits and behaviors, influencing factors, and time and location information, in order to generate statistical information, adapt a profile for calculating determined attribute ranges for each of the set of attribute types and store generated customized ranges in custom profiles.
Systems and Methods for Dynamically Generating a Customized Profile for a Person Based on a Travel-Related Behavior Pattern