Predicting Navigational Patterns in Web Applications using Machine Learning Techniques
In large corporations, customer support is a costly service, and an area of constant optimization. Solutions to increase efficiency and decrease bottlenecks are constantly needed. One such bottleneck is support tool proficiency in a customer support organization where many different tools are used, and a potential solution is to let the tool guide the user as it is being used. This thesis explores
