System and method for inferring user intent and personalization of user interface

A system to provide for dynamically customizing a webpage layout according to webpage transition history of a user, the system comprising:

• a memory;
• a display;
• and
• a processor configured to perform:
• collecting, via a network, historical web session data of a plurality of users;
• storing the collected historical web session data;
• executing collaborative filtering using the collected historical web session data;
• generating, via a machine learning (ML) algorithm, a probabilistic model;
• generating a webpage transaction path for a target user among the plurality of users;
• identifying one or more communities within the webpage transaction path;
• generating at least one webpage recommendation for the target user based on the collaborative filtering;
• generating at least one webpage shortcut for the target user based on the probabilistic model and the identified one or more communities within the webpage transaction path;
• modifying a default webpage layout to include the at least one webpage recommendation and the at least one webpage shortcut;
• and
• displaying, on a display, the modified webpage layout including the at least one webpage recommendation and the at least one webpage shortcut.

A non-transitory computer readable storage medium that stores a computer program for dynamically customizing a webpage layout according to webpage transition history of a user, the computer program, when executed by a processor, causing a system to perform a plurality of processes comprising:

• collecting, via a network, historical web session data of a plurality of users;
• storing the collected historical web session data;
• executing collaborative filtering using the collected historical web session data;
• generating, via a machine learning (ML) algorithm, a probabilistic model;
• generating a webpage transaction path for a target user among the plurality of users;
• identifying one or more communities within the webpage transaction path;
• generating at least one webpage recommendation for the target user based on the collaborative filtering;
• generating at least one webpage shortcut for the target user based on the probabilistic model and the identified one or more communities within the webpage transaction path;
• modifying a default webpage layout to include the at least one webpage recommendation and the at least one webpage shortcut;
• and
• displaying, on a display, the modified webpage layout including the at least one webpage recommendation and the at least one webpage shortcut.