Personalization of Web Tasking

A web task is defined as the set of services, sessions, and sequence of interactions that are required to perform a certain user objective. The current Web tasking model does not consider user preferences and context when executing a Web task. The proposed research project aims to improve the experience of Web users through personalization of Web tasks. Personalization integrates the user's personal context with the task execution plan to serve the user's interest at best. We will develop a flexible task representation model that can accommodate the user's context, mechanisms for context solicitation, interpretation and transfer, and efficient context aggregation and handling.

Faculty Supervisor:

Dr. Patrick Martin

Student:

Khalid Elgazzar

Partner:

IBM Canada

Discipline:

Computer science

Sector:

Information and communications technologies

University:

Queen's University