An iterative method for identification of an item from a dataset by selecting questions to eliminate the maximum number of items at each ite tion

摘要

A method and system for identifying an item from a dataset comprises the steps of presenting a series of questions to a user such that the question is iteratively selected to maximise the number of candidate items eliminated. Items are stored in a dataset and a number of characteristics are associated with each item. The data set further comprises a number of questions, each question being associated with a characteristic. In use the questions are asked in series to the user to narrow down the number of candidate items. On receiving each answer each possible subordinate question is rated, the question having the highest value being presented to the user. Preferably the formula uses a weighted probability function to calculate the number of items likely to be eliminated. If the user provides an answer indicating that none of the remaining characteristic features are present no reduction is made in the number of items.