Abstract: A process for recommending choices to a user uses a first model representing the user's subconscious and a second model representing the user's consciousness. The process comprises receiving data and performing, using the second model, a simulation by modeling the user and a third party to derive a simulation result that determines how the user would react to a situation based at least in part on the received data. Using the first model and the simulation, a first set of recommendation choices based at least in part on the received data is derived, and a set of recommendation choices for presentation based on the first set of recommendation choices is determined and presented to the user. As the user is making a selection, the user is monitored for conscious decisions and subconscious reactions, which are used to update the first model and the second model.

Abstract: A method for recommending choices to a user comprises receiving data. A first set of recommendation choices based on the data is derived using a first model that models a user's subconscious reactions (i.e., intuition) to the data, and a second set of recommendation choices based on the data is derived using a second model that models the user's consciousness. The first and second sets of recommendation choices are blended using a blending function based on characteristics of a domain of the data to create a third set of recommendation choices that are arranged in an order, which is presented to the user. A conscious decision of the user and subconscious reactions of the user are monitored, and data representing the subconscious reactions of the user and data representing the conscious decisions of the user are appended to a first and second memory space, respectively.

Abstract: A method for recommending choices to a user comprises receiving data. A first set of recommendation choices based on the data is derived using a first model that models a user's subconscious reactions (i.e., intuition) to the data, and a second set of recommendation choices based on the data is derived using a second model that models the user's consciousness. The first and second sets of recommendation choices are blended using a blending function based on characteristics of a domain of the data to create a third set of recommendation choices that are arranged in an order, which is presented to the user. A conscious decision of the user and subconscious reactions of the user are monitored, and data representing the subconscious reactions of the user and data representing the conscious decisions of the user are appended to a first and second memory space, respectively.