Raise Marketplace, LLC

Tastebud Technologies, Inc.

Acciona Energia, S.a.

Christopher Walti

Tyler Robert Spalding

Brian Philip Hawkins

Luis Marroyo Palomo

Daniel Rabal Echeverria

Iñigo Berazaluce Minondo

Daniel Knispell

Javier Marcos Álvarez

María Asunción Padros Razquin

David Cuesta Lerín

A method for execution by a computing device of a recommendation system includes receiving, from a user computing device of the recommendation system, a selection of one or more images from one or more selectable image groups, where the user computing device is associated with a user profile. The method continues by generating, by the computing device, a personal preference profile for the user profile based upon the selection of the one or more images. The method continues by determining, by the computing device, to correlate one or more databases of items based on the personal preference profile for the user profile. The method continues by generating, by the computing device, a representation of one or more correlated items of the correlated one or more database of items for displaying on a display of the user computing device.

Computer-implemented method for recommendation system input management

A user-centric computer-implemented method and system for managing inputs and creating, modifying, importing, and sharing one or more user lifestyle preference profiles as input into a relevance assessment engine to determine a user's product or service preferences comprises a personalized recommendation software for assessing and aggregating lifestyle items via style dimension mapping of one or more computer-implemented algorithms to process image-associated metadata to create unique vector inputs, individualized lifestyle preference indices, and lifestyle preference outputs, associated with a plurality of correlated products, services and experiences. The recommendation system then directly matches each user to discrete relevant items without the need for management of historical data from other users.

A browser-based personalized recommendation system and method for lifestyle items comprising style dimension mapping, inputs, outputs, and a computer-algorithm is described. The system gathers information about a user's unique lifestyle preferences, which is then correlated to clothing and lifestyle items. The recommendation system uniquely and directly matches users to discrete items without the need for historic user data.

Method and system for personalized recommendation of lifestyle items

Display screen with graphical user interface

A process for simultaneously providing capacity sale services (e.g. frequency regulation or voltage regulation), energy sale services (energy transfer from off-peak hours to peak hours), and stabilization services of a renewable plant may be provided. The process includes determining the values of energy quantity to be produced by the plant during a near future time interval. The process may also include introducing the values of energy quantity, in the control unit. Generating an hourly program of energy supply to be provided by the energy accumulator unit to the network may also be performed, depending on the values of energy to be produced, which stabilizes the power supplied by the plant to the network. Furthermore, the frequency and the voltage of the network may be regulated as well as transfers the energy between off-peak hours and peak hours, or from hours with saturation of the network to hours without saturation.

Procedure for supply control and storage of power provided by a renewable energy generation plant

Growing community of inventors

Chicago, IL, United States of America

Christopher Walti