Methods and systems for personalizing visitor experience at a non-profit venue using machine learning to generate selection or sequence of non-profit venue location recommendations

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.

What is claimed is: 
     
         1 . A method of providing a coordinated experience for a visitor to a non-profit venue in a group of cooperating non-profit venues, comprising:
 providing a management interface for management of multimedia assets;   receiving an assignment of a multimedia asset relating to a display in a site plan;   receiving metadata to associate with the multimedia asset;   receiving personalized interest data relating to a visitor to a non-profit venue, including data selected from among visitor-provided preference data, passively-collected visitor interaction data, and visitor route data;   receiving personalized interest data for a plurality of visitors relating to multiple non-profit venues for each visitor;   applying a machine learning algorithm to analyze the multimedia asset and the personalized interest data for the plurality of visitors; and   generating a plurality of generic visitor profiles and a corresponding plurality of non-profit venue location recommendations for each of the generic visitor profiles based at least in part on the machine learning algorithm analysis.   
     
     
         2 . The method of  claim 1  wherein the management interface further provides a heat map showing paths of visitors through the non-profit venue. 
     
     
         3 . The method of  claim 2  wherein the heat map is further segmented according to the generic visitor profiles. 
     
     
         4 . The method of  claim 1  wherein the personalized interest data is collected from visits by visitors across multiple non-profit venues using a plurality of capture devices. 
     
     
         5 . The method of  claim 1  wherein the personalized interest data is collected using a mobile application. 
     
     
         6 . The method of  claim 1  wherein the personalized interest data is collected using one of a wireless beacon and a sensor network. 
     
     
         7 . The method of  claim 1  wherein the personalized interest data is collected using one of a camera and a biometric sensor. 
     
     
         8 . The method of  claim 1  wherein the personalized interest data is collected by tracking a visitor interaction with a non-profit venue display. 
     
     
         9 . The method of  claim 1  wherein the personalized interest data is collected by tracking a use by a visitor of a non-profit venue guide device. 
     
     
         10 . The method of  claim 1  wherein the machine learning system assembles a sequence or selection based at least in part on a personal route taken by the visitor through one or more site plans. 
     
     
         11 . The method of  claim 1  wherein the machine learning system assembles a sequence or selection based in part on a selection made by the visitor at a non-profit venue location. 
     
     
         12 . The method of  claim 1  wherein the multimedia asset is interactive. 
     
     
         13 . The method of  claim 1  wherein an interactive multimedia asset is assigned to use an audio, visual, tactile, or movement capture device associated with a location in the non-profit venue. 
     
     
         14 . The method of  claim 1  wherein the management interface further provides an interface for creating an interactive campaign, wherein information about the interactive campaign is displayed at a plurality of locations or sites, wherein the information about the interactive campaign is displayed simultaneously at the plurality of locations or sites, and wherein visitors at the plurality of locations or sites have access to real-time interaction or real-time communication with each other. 
     
     
         15 . The method of  claim 14  wherein a mode of the real-time communication is selected from the group consisting of audio conferencing, video conferencing, virtual reality conferencing, collaborative text chat, holographic conferencing, and combinations thereof. 
     
     
         16 . The method of  claim 1  wherein non-profit venue locations in the site plan are associated with a wireless beacon. 
     
     
         17 . A method for personalizing an experience of a visitor at a non-profit venue that displays results of a plurality of projects supported by philanthropy, comprising:
 determining personalized information of a visitor to a non-profit venue;   providing the personalized information as a visitor profile to a recommendation engine; and   using the recommendation engine, suggesting personalized experiences for the visitor, wherein the suggesting personalized experiences for the visitor includes providing a recommendation to direct the visitor to a physical location where the visitor is to be presented with a donation opportunity for a project that is determined by the recommendation engine to be of interest to the visitor based on the visitor profile.   
     
     
         18 . The method of  claim 17 , wherein the non-profit venue is at least one of a museum and a zoo. 
     
     
         19 . The method of  claim 17 , wherein personalized information includes location information of the visitor in the non-profit venue. 
     
     
         20 . The method of  claim 19 , wherein the location information includes a dwell time by the visitor at a set of locations at the non-profit venue. 
     
     
         21 . The method of  claim 19 , further comprising, using the location information for a plurality of locations physically visited by the visitor in the non-profit venue, automatically assembling a multimedia presentation containing content relating to the specific portions of the non-profit venue that were visited by the visitor. 
     
     
         22 . The method of  claim 19 , wherein the visitor profile is derived at least in part by analyzing content of a photograph taken by the visitor within the non-profit venue. 
     
     
         23 . The method of  claim 17 , wherein identifying personalized information of the visitor includes capturing visitor data using a plurality of capture devices selected from a group consisting of smartphones, cameras, biometric sensors, wireless beacons, sensor networks, and combinations thereof. 
     
     
         24 . A system for providing, to a visitor of a non-profit venue, a campaign participation opportunity based on interactions within the non-profit venue, comprising:
 an exhibition summary system for receiving exhibition data relating to an exhibition of a non-profit venue, wherein the exhibition data includes summary data pertaining to individual exhibits within the exhibition;   a charitable campaign system for receiving campaign data relating to an ongoing campaign;   a machine learning system for applying a machine learning algorithm to analyze the exhibition data and campaign data for a plurality of non-profit venue visitors, wherein the analysis includes determining associations among visitors' exhibition behavior and campaign behavior;   a path tracking system for determining a path of a visitor taken through a non-profit venue;   an interaction tracking system for determining at least one interaction of the visitor with at least one exhibit that is associated with an ongoing campaign; and   a recommendation engine for processing the interaction to provide a recommendation to the visitor for an action related to the ongoing campaign, wherein the recommendation is based at least in part on the machine learning analysis.   
     
     
         25 . The system of  claim 24 , wherein upon detecting that the interaction by the visitor with the exhibit exceeds a threshold level of interaction, interaction information is provided to the recommendation engine. 
     
     
         26 . The system of  claim 24 , wherein the recommendation engine provides a relevant call-to-action to the visitor to participate in a campaign that is related to the exhibit for which the interaction was tracked. 
     
     
         27 . The system of  claim 24 , wherein the non-profit venue is a museum or a zoo. 
     
     
         28 . The system of  claim 24 , wherein tracking interactions of the visitor with the exhibit includes recording video of the visitor's face and using a machine learning system to analyze interactions based on the video of the visitor's face to determine a sentiment of the visitor with respect to the exhibit. 
     
     
         29 . The system of  claim 24 , wherein the campaign is selected from charitable projects in a group consisting of a translation project, a clean water project, an education project, a building project, a missionary project, a disaster relief project, a restoration project, an acquisition project, and combinations thereof. 
     
     
         30 . The system of  claim 26 , wherein the call-to-action presented to the visitor is selected from a group consisting of a request for donation, a request for subscription, a request to share on social media, a request to provide metadata about the visitor for display on an endorsement, a request to share the campaign with others, a request to provide permission to be contacted further, a request to donate on behalf of another, a request to sponsor another campaign participant, a request for sponsorship by another to participate in the campaign, and combinations thereof.