Abstract: A method for developing content for a personalized non-profit venue experience using a mobile computing device, comprising: providing an interface for management of a set of multimedia assets; receiving a mapping of multimedia assets to a set of locations on a site plan for the non-profit venue; receiving metadata for the set of multimedia assets; receiving personalized interest data indicating personal philanthropic interests of a visitor to the non-profit venue; and applying a machine learning algorithm to analyze the metadata and the personalized interest data to provide, to a mobile computing device, a selection of a multimedia asset from the set of multimedia assets for consumption by the visitor.

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.

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.

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 the visitor, the mobile computing device in communication with the server via the network, wherein the information technology platform determines personalized information about the visitor; a recommendation engine associated with the server, wherein the recommendation engine is to receive the personalized information about the visitor and to output a suggestion for a personalized experience for the visitor, wherein the information technology platform conveys the suggestion for the personalized experience to the visitor, wherein the personalized experience is to encourage philanthropic activity; and a social networking system for digital communication between the visitor and other visitors, and for sharing information or media related to the non-profit venue or to a philanthropic campaign associated wi

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 the visitor, the mobile computing device in communication with the server via the network, wherein the information technology platform determines personalized information about the visitor; a recommendation engine associated with the server, wherein the recommendation engine is to receive the personalized information about the visitor and to output a suggestion for a personalized experience for the visitor, wherein the information technology platform conveys the suggestion for the personalized experience to the visitor, wherein the personalized experience is to encourage philanthropic activity; and a machine learning system for learning on a training set of data, the learning to train the machine learning system to predict a recommended donation amount for the visitor based on the personalized informa

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 the visitor, the mobile computing device in communication with the server via the network, wherein the information technology platform determines personalized information about the visitor; a recommendation engine associated with the server, wherein the recommendation engine is to receive the personalized information about the visitor and to output a suggestion for a personalized experience for the visitor, wherein the information technology platform conveys the suggestion for the personalized experience to the visitor, wherein the personalized experience is to encourage philanthropic activity; and a social networking system for digital communication between the visitor and other visitors, and for sharing information or media related to the non-profit venue or to a philanthropic campaign associated wi

Abstract: A method for augmenting a photograph taken by a visitor at a non-profit venue, comprising: executing an application on a mobile computing device carried by the visitor, which, when executed, performs the steps of: analyzing an original photograph taken by a visitor to a non-profit venue to determine a location of a subject of the original photograph; determining a set of characteristics of the original photograph; accessing digital imagery from a database of high-resolution imagery of the non-profit venue; creating a high-resolution digital image having a corresponding set of characteristics to those of the original photograph by using the digital imagery from the database; masking the original photograph based on differences between the high-resolution digital image and the original photograph taken by the visitor; and compositing the original photograph with the high-resolution digital image to create a high-resolution composite photograph accentuating the characteristics that correspond to the philanthropi

Abstract: A method for providing personalized non-profit venue visit recommendations to a visitor at a non-profit venue, comprising: providing a management interface for management of a set of multimedia assets; receiving a mapping of multimedia assets to a display in at least one site plan; receiving metadata for the set of multimedia assets; providing an interface for receiving data indicating personal interests of a visitor, including visitor-provided preference data and passively-collected visitor interaction data; receiving personal interest data for a plurality of non-profit venue visitors; receiving preference data relating to a prospective visitor; applying a machine learning system to analyze the metadata, the data indicating personal interests of the visitor, the personal interest data for the plurality of non-profit venue visitors, and the preference data relating to the prospective visitor; and generating a selection or sequence of non-profit venue location recommendations for the prospective visitor.

Abstract: An information technology platform for personalizing an experience of a visitor at a non-profit venue, the platform comprising: a network; a server in communication with the network; a mobile computing device to be carried by the visitor, the mobile computing device in communication with the server via the network, wherein an information technology platform determines personalized information about the visitor; a recommendation engine associated with the server, wherein the recommendation engine is to receive the personalized information about the visitor and to output a suggestion for a personalized experience for the visitor, wherein the information technology platform conveys the suggestion for the personalized experience to the visitor, wherein the personalized experience is to encourage philanthropic activity; and a management system for managing the platform, wherein the management system includes a management interface for creating multimedia asset selections or sequences to be included as part of the

Abstract: A method for coordinating personalized experiences between cooperating non-profit venues, comprising: identifying a visitor to a current non-profit venue using an authentication system in a mobile application; displaying an interface of multimedia available in displays in site plans from a plurality of non-profit venues; accessing multimedia assets relating to displays in one or more site plans; accessing metadata to associate with the multimedia assets; collecting personalized interest data relating to the visitor to at least one of the non-profit venues, the personalized interest data including visitor-provided preference data, passively-collected visitor interaction data, and visitor route data; and providing a selection or sequence of non-profit venue location recommendations for the visitor that include recommendations and multimedia relating to another non-profit venue different from the current non-profit venue.

Abstract: A method for developing content for a personalized non-profit venue experience using a mobile computing device, comprising: providing an interface for management of a set of multimedia assets; receiving a mapping of multimedia assets to a set of locations on a site plan for the non-profit venue; receiving metadata for the set of multimedia assets; receiving personalized interest data indicating personal philanthropic interests of a visitor to the non-profit venue; and applying a machine learning algorithm to analyze the metadata and the personalized interest data to provide, to a mobile computing device, a selection of a multimedia asset from the set of multimedia assets for consumption by the visitor.

Abstract: A method for providing a visitor to a non-profit venue a campaign participation opportunity, comprising: executing a program on a mobile computing device carried by the visitor, which, when executed, performs the steps of: analyzing a path of the visitor taken through the non-profit venue using a set of tracking systems; recording the interaction of the visitor with a specific non-profit venue exhibit associated with an ongoing campaign; in response to detecting that the visitor interaction with the specific non-profit venue exhibit exceeds a threshold, providing a visitor vector to a recommendation engine, wherein the visitor vector includes data indicating that the visitor has shown interest in the ongoing campaign; using results output by the recommendation engine, matching the visitor to another visitor interested in participating in a similar campaign; and presenting a relevant call-to-action to the visitor to communicate with the other visitor via the program.

Abstract: A method of cross-non-profit venue referral for a visitor to a non-profit venue in a group of cooperating non-profit venues, comprising: receiving personalized interest data from among a set of visitor-provided preference data, passively-collected visitor interaction data, and visitor route data for a plurality of visitors to non-profit venues across a plurality of non-profit venues; receiving preference data relating to a specific set of visitors; applying a machine learning algorithm to analyze the personalized interest data and the preference data relating to the specific set of visitors; and generating a recommendation of a selection or sequence of non-profit venue locations for the specific set of visitors relating to at least a portion of the plurality of the non-profit venues.

Abstract: A method for providing supplemental media to a visitor at a non-profit venue, comprising: executing an application on a mobile computing device carried by the visitor, which, when executed, performs the steps of: tracking a specific path of the visitor through the non-profit venue using wireless beacons; tracking locations where the visitor stopped and waited; storing the specific path of the visitor on a remote server; providing a digital map to the visitor on the mobile computing device carried by the visitor; using the specific path of the visitor stored on the remote server to determine whether or not the visitor had come into proximity of certain exhibits or objects depicted on the digital map; and automatically assembling a multimedia presentation summarizing specific portions of the non-profit venue that the visitor visited and presenting the multimedia presentation to the visitor.

Abstract: An information technology platform for personalizing an experience of a visitor at a non-profit venue, the platform comprising: a network; a server in communication with the network; a mobile computing device to be carried by the visitor, the mobile computing device in communication with the server via the network, wherein the platform determines personalized information about the visitor; a recommendation engine associated with the server, wherein the recommendation engine is to receive the personalized information about the visitor and to output a suggestion for a personalized experience for the visitor, wherein the platform conveys the suggestion for the personalized experience to the visitor, wherein the personalized experience is to encourage philanthropic activity related to an ongoing philanthropic campaign; and a notification system for conveying a notification to the visitor related to the output suggestion.

Abstract: Methods of providing a coordinated experience for a visitor to a non-profit venue in a group of cooperating non-profit venues generally including providing an interface for management of a multimedia asset; receiving an assignment of the multimedia asset relating to displays in one or more site plans; receiving metadata to associate with the multimedia asset; providing an interface for receipt of personalized interest data for a visitor to a non-profit venue, including data selected from among visitor preference data, visitor interaction data, and visitor route data; receiving personalized interest data for a plurality of visitors to non-profit venues relating to multiple non-profit venues for each visitor; applying a machine learning algorithm to analyze the multimedia and the personalized interest data for the plurality of visitors; and generating a plurality of generic visitor profiles and a corresponding plurality of selection or sequence of non-profit venue location recommendations.

Abstract: A method for developing content for personalized non-profit venue experiences using a mobile computing device, comprising: providing a management interface for management of a set of multimedia assets; receiving a mapping of multimedia assets to a set of locations on a set of site plans for the non-profit venue; receiving metadata for the set of multimedia assets; providing an interface for receiving data indicating personal philanthropic interests of a visitor to the non-profit venue, wherein the data indicating personal philanthropic interests of the visitor to the non-profit venue includes visitor-provided preference data and passively-collected visitor interaction data; and applying a machine learning system to analyze the metadata and the data indicating personal philanthropic interest of the visitor to provide a sequence or a selection of multimedia assets for consumption by the visitor.

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.

Abstract: A system for providing supplemental media to a visitor at a non-profit venue, comprising: a software product running a program on a mobile computing device carried by the visitor, which when the program is executed, performs the steps of: analyzing photographs taken by the visitor; accessing digital imagery from a database of high-resolution imagery of the non-profit venue; matching the photographs taken by the visitor to the high-resolution imagery to identify a location in the non-profit venue of a set of exhibits depicted in the photographs; creating archivable regions in stored imagery allocated to the visitor; and allowing the visitor to activate the archivable regions to retrieve additional information about the set of exhibits depicted in the photographs.

Abstract: An information technology platform for personalizing an experience of a visitor at a non-profit venue, the platform comprising: a network; a server in communication with the network; a mobile computing device to be carried by the visitor, the mobile computing device in communication with the server via the network, wherein the information technology platform determines personalized information about the visitor; and a recommendation engine associated with the server, wherein the recommendation engine is to receive the personalized information about the visitor and to output a suggestion for a personalized experience for the visitor, wherein the platform conveys the suggestion for the personalized experience to the visitor, wherein the personalized experience is to encourage philanthropic activity; and a ticketing system to generate credentials for authorizing entry of the visitor into the non-profit venue.