Other

Decision Innovations, Inc.

Jeffrey M Johnston

Adam B Richman

Richard R Shopmyer

David L Sheeks, Iii

Methods, systems, and computer program products for combining conjoint analysis with customer relationship management software, search engine software, and auction software are disclosed. According to one method, conjoint analysis is used to facilitate user interaction with a search engine. According to the method, search keywords are received as a user and treated as attributes by a conjoint analysis application. The conjoint analysis application presents the user with paired trade-off questions regarding the search keywords. Conjoint analysis is performed based on user responses to the questions. Based on the user's responses to the questions, relative importance weightings are computed for keywords. The keywords and the relative importance weightings are input to a search engine. The search is performed using the keywords. Results to be output to the user are selected based on occurrences of the keywords in the search results and the relative importance weightings.

Methods, systems, and computer program products for facilitating user interaction with customer relationship management, auction, and search engine software using conjoint analysis

Methods, systems, and computer program products for facilitating user choices among complex alternatives utilize conjoint analysis to simplify choices to be made by the user. A selector tool presents a user with a first and second series of choices relating to attributes of products or services available to the user. A utilities calculation engine calculates the relative utility of each of the products or services to the user and presents output to the user, which indicates the relative utility of each of the products or services. The user can then select the product or service that has the highest utility value for the user based on the calculated relative utility values.

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Durham, NC, United States of America

Jeffrey M Johnston