摘要:
A customer self service system and method for performing resource search and selection. The method includes steps of providing an interface enabling entry of a query for a resource and specification of one or more user context elements, each element representing a context associated with the current user state and having context attributes and attribute values associated therewith; enabling user specification of relevant resource selection criteria for enabling expression of relevance of resource results in terms of user context; searching a resource database and generating a resource response set having resources that best match a user's query, user context attributes and user defined relevant resource selection criteria; presenting said resource response set to the user in a manner whereby a relevance of each of the resources being expressed in terms of user context in a manner optimized to facilitate resource selection; and, enabling continued user selection and modification of context attribute values to enable increased specificity and accuracy of a user's query to thereby result in improved selection logic and attainment of resource response sets best fitted to the query. More particularly, adaptive algorithms and supervised and unsupervised learning sub-processes are implemented to enable the self service resource search and selection system to learn from each and all users and make that learning operationally benefit all users over time.
摘要:
A system and method for classifying user context in a customer self service system that performs resource search and selection and includes a context attribute database comprising types of user contexts and one or more context attributes associated with each user context for processing by the system, and context attribute function database comprising functions for computing values for each context attribute. The classifying system comprises a computing device for receiving a user query and a context vector comprising data associating an interaction state with the user and, processing the query and context vector against data included in the context attribute database and context attribute function database for predicting a particular user context. The classifier populates the user context vector with context parameters specifying a user interaction state for use in a subsequent resource search. The result of this invention is an ability to relieve the user of the nonproductive work of describing their context and the ability to improve the search value by including criteria derived from both data and behaviors in the general population which may be unknown to the user. 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.
摘要:
A graphical user interface for a customer self service system that performs resource search and selection. The interface comprises an entry field enabling entry of a query for a resource and selection of one or more user context icons, each representing a context associated with the current user situation, and having context attributes associated therewith; a first visual workspace is provided for visualizing and exploring the set of resources that the customer self service system has determined to match the user's query, the system indicating a degree of fit of the determined resources with the query, based on the user's context, associated resource selection parameters and associated relevant resource evaluation criteria utilized by a search mechanism in the system; and, a second visual workspace including detail specification workspace for enabling user to select and modify user context attribute values and further relevant resource evaluation criteria; and a mechanism for enabling the user to continuously navigate among the first and second visual workspaces to enable increased specificity and accuracy of query's search parameters and resource evaluation criteria and thereby identify and improve selection logic and response sets fitted to a query. The graphical user interface permits user interactivity for querying a customer self service system and enhancing response set results for a variety of self service domains including education, real estate and travel.
摘要:
A graphical user interface for a customer self service system that performs resource search and selection including a system and method for controlling a display of resources resulting from a query initiated by a user of the system. The system and method for controlling the display includes the steps of: enabling via a first graphic interface, entry of a query and selection of one or more user context icons, each representing a context associated with the current user situation and having context attribute parameters associated therewith; enabling, via a second graphic interface, user specification of relevant resource selection criteria for enabling expression of relevance of resource results in terms of user context; searching a resource database and generating a resource response set for best matching a user's query, user context attributes and user defined relevant resource selection criteria; and, displaying via a third graphic interface, the response set of resources that the customer self service system has determined to match the user's query based on the user's context, attributes and user defined resource selection criteria utilized in search. Central to the system is the expression of the relevance of results in terms of user context in a manner optimized to facilitate resource selection.
摘要:
An adaptive resource indexing and lookup method for a customer self service system that performs resource search and selection and includes a resource library having selectable resources. The method includes steps of: receiving a current user query for requesting resources; receiving a user context vector associated with the current user query, the user context vector comprising data associating an interaction state with the user; mapping each user query and associated context vector to a sub-set of resources from the resource library; and, generating a response set including the sub-set of resources that are most relevant to the user's query. An adaptive indexing function implementing a supervised learning algorithm is applied for increasing the value of search results for a current user in their context and for enhancing and optimizing the performance of the resource indexing functions by increasing their relevance and specificity for mapping user queries to resources.