Patent ID: 9082086
Filing Date: 2015-07-14
Classification: G06F,G06Q

Abstract:
1. A method for computing a representation of similarity among items in a set of items, the method comprising: generating a first similarity model that represents characteristics of the set of items, the characteristics being indicative of similarity among the items in the set of items; with a processor, adaptively selecting a subset of the set of items for similarity evaluation based on the first similarity model; presenting the adaptively-selected subset of items to one or more users for similarity evaluation; receiving one or more similarity evaluations from the one or more users for the adaptively-selected subset of items; validating the received similarity evaluations by presenting to the one or more users a validation subset of items for a validation similarity evaluation and determining whether the received similarity evaluations for the adaptively-selected subset of items are trustworthy based on results from the validation similarity evaluation; filtering out outlier similarity evaluations based on the validation similarity evaluation results; generating a second similarity model based on the first similarity model and the one or more validated similarity evaluations; and selecting a set of products to present to at least one of the one or more users based on the second similarity model.