A system and method for annotating resource results obtained in a customer self service system that performs resource search and selection. The method comprising the steps of : receiving a resource response set of results obtained in response to a current user query and receiving a user context vector associated with the current user query, the user context vector comprising data associating an interaction state with the user; applying an ordering and annotation function for mapping the user context vector with the resource response set to generate an annotated response set having one or more annotations; and, controlling the presentation of the resource response set to the user according to the annotations, wherein the ordering and annotation function is executed interactively at the time of each user query. In an off-line process, a supervised learning algorithm is implemented for receiving user interaction data from among a database of user interaction records and an annotation scoring metric representing a measure of performance in locating resource response results displayed via a graphical interface. The algorithm generates ordering and annotation functions which are adaptable based on history of user interactions as provided in the database of user interaction records. The result of this invention is the ability to drive visualization systems for presenting resource response results in the most beneficial and meaningful way to the user via an interface when performing search and resource selection. The system and method is especially applicable for a self service system in a variety of customer self service domains including education, real estate and travel.