METHODS AND SYSTEMS FOR SUMMARIZING A VISITOR EXPERIENCE AT A NON-PROFIT VENUE USING MULTIMEDIA RECREATIONS

    公开(公告)号:US20200320577A1

    公开(公告)日:2020-10-08

    申请号:US16907852

    申请日:2020-06-22

    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.

    METHODS AND SYSTEMS FOR PERSONALIZING NON-PROFIT VENUE REFERRALS TO A PROSPECTIVE VISITOR

    公开(公告)号:US20200320596A1

    公开(公告)日:2020-10-08

    申请号:US16908106

    申请日:2020-06-22

    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.

    METHODS AND SYSTEMS FOR PERSONALIZING VISITOR EXPERIENCE AT A NON-PROFIT VENUE USING HIGH-RESOLUTION COMPOSITE PHOTOGRAPHY

    公开(公告)号:US20200320762A1

    公开(公告)日:2020-10-08

    申请号:US16907662

    申请日:2020-06-22

    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 philanthropic campaign.

    METHODS AND SYSTEMS FOR PERSONALIZING VISITOR EXPERIENCE AT A NON-PROFIT VENUE AND RECOMMENDING PHILANTHROPIC ENGAGEMENT LEVELS

    公开(公告)号:US20200320588A1

    公开(公告)日:2020-10-08

    申请号:US16907977

    申请日:2020-06-22

    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 information about the visitor.

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