Abstract: A method implemented by a determination engine is provided. The determination engine receives a media dataset comprising target piece music information, target piece audience information, corpus music information, corpus audience information, and corpus preference data. The determination engine determines a subset of the corpus music and preference information and determines at least one surprise factor of the subset of the corpus music and preference information across features at one of a plurality of orders. The determination engine learns a model that estimates a likelihood that time-varying surprise trends across the features achieves a preference level. The determination engine determines at least one surprise factor of the target piece music information across the features at the one of the plurality of orders and predicts, using the model, preference information using the time-varying surprise trends for the target piece music information across the features.

Abstract: A method implemented by a determination engine is provided. The determination engine receives a media dataset comprising target piece music information, target piece audience information, corpus music information, corpus audience information, and corpus preference data. The determination engine determines a subset of the corpus music and preference information and determines at least one surprise factor of the subset of the corpus music and preference information across features at one of a plurality of orders. The determination engine learns a model that estimates a likelihood that time-varying surprise trends across the features achieves a preference level. The determination engine determines at least one surprise factor of the target piece music information across the features at the one of the plurality of orders and predicts, using the model, preference information using the time-varying surprise trends for the target piece music information across the features.

Abstract: The subject invention concerns methods revealing surface imperfections on an object comprising the steps of: coating the surface to be inspected with a composition comprising an opaque, water-dispersible liquid, sufficiently surface-adherent and with surface-wetting properties as to create a gloss finish, at least before the liquid dries, on the restored area; inspecting the surface to check for imperfections; and removing said composition with water. The method may also include a step of marking the surface, through the wet composition layer, to indicate the location of imperfections discovered. Also described are compositions and delivery systems suitable for carrying out the method comprising aqueous dispersions of a pigment and a resin, especially a polysaccharide resin.