Methods and systems for personalizing visitor experience at a non-profit venue using machine learning to predict visitor sentiment

US11763352B2 · kind B2 · utility

Assignee

• Olive Seed Industries, LLC · US

Inventors

• Christine Soule · Woodinville, US
• Charles Howard Cella · Pembroke, US
• Richard Spitz · Reutlingen, DE

Key dates

• Filing date: Jun 22, 2020
• Grant date: Sep 19, 2023
• Expiry date: Jun 22, 2040

Classification

• Technology area (CPC —): General

Abstract

An information technology platform for personalizing an experience of a visitor at a non-profit venue comprising: a network; a server in communication with the network; a mobile computing device to be carried by a visitor to a non-profit venue, wherein the platform determines personalized information about the visitor and a recommendation engine outputs a suggestion for a personalized experience to the visitor to encourage philanthropic activity related to an ongoing philanthropic campaign; and a machine learning system for learning on a training set of photographic data or video data, the learning to train the machine learning system to predict a sentiment towards the ongoing philanthropic campaign of the visitor based, at least in part, on photographic images or video images that are taken by the visitor, that are shared to the visitor, that are shared by the visitor or that include the visitor as a subject.