Patent classifications
G06Q30/0279
Automatic generation of a funding event
Aspects of the present invention disclose a method, computer program product, and system for automatically creating a funding event in response to identifying an issue. The method includes one or more processors identifying an issue and an individual associated with the issue. The method further includes one or more processors determining whether the individual meets eligibility criteria of a crowdfunding platform. In response to determining that the identified individual does meet eligibility criteria of the crowdfunding platform, the method further includes one or more processors creating a funding event for receiving donations to resolve the identified issue.
Gratitude prediction machine learning models
Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for determining gratitude scores for a plurality of people who have interacted with an organization. In one aspect, a method comprises: obtaining, for each of a plurality of people who have interacted with an organization, history data characterizing previous interactions of the person with the organization and third party data characterizing aspects of the person outside of their previous interactions with the organization; and processing, for each of the plurality of people, the history data and the third party data for the person using a gratitude prediction machine learning model to generate a gratitude score for the person, wherein the gratitude score for the person characterizes a likelihood that the person will take a specified action on behalf of the organization in the future.
Gratitude prediction machine learning models
Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for determining gratitude scores for a plurality of people who have interacted with an organization. In one aspect, a method comprises: obtaining, for each of a plurality of people who have interacted with an organization, history data characterizing previous interactions of the person with the organization and third party data characterizing aspects of the person outside of their previous interactions with the organization; and processing, for each of the plurality of people, the history data and the third party data for the person using a gratitude prediction machine learning model to generate a gratitude score for the person, wherein the gratitude score for the person characterizes a likelihood that the person will take a specified action on behalf of the organization in the future.
Method, system, and non-transitory processor-readable medium for intelligent listing creation for a for sale object
Disclosed herein are embodiments for intelligent listing creation for a for sale object (FSO). Some embodiments operate by determining a numerical identifier corresponding to a category of the FSO. A binarization of the numerical identifier using hot encoding is performed and using a neural network regression model, an optimal offer price is generated based on a category of the FSO. Information about the FSO is provided to the neural network regression model that tokenizes the textual input, and a unique binary vector representing the category is provided instead of the numerical identifier to the neural network regression model. An optimal price, generated by the neural network regression model, based on the unique binary vector representing the category.
Method, system, and non-transitory processor-readable medium for intelligent listing creation for a for sale object
Disclosed herein are embodiments for intelligent listing creation for a for sale object (FSO). Some embodiments operate by determining a numerical identifier corresponding to a category of the FSO. A binarization of the numerical identifier using hot encoding is performed and using a neural network regression model, an optimal offer price is generated based on a category of the FSO. Information about the FSO is provided to the neural network regression model that tokenizes the textual input, and a unique binary vector representing the category is provided instead of the numerical identifier to the neural network regression model. An optimal price, generated by the neural network regression model, based on the unique binary vector representing the category.
Economic development and collaboration system
An exemplary non-limiting embodiment of an economic development and collaboration system, which enables individuals within a community to efficiently identify and express their interests in one or more economic propositions, is disclosed herein. The economic development and collaboration system comprises a software application which is configured to allow users to uniquely interface with the one or more economic propositions. The system allows for its users to efficiently identify and express support or disapproval of one or more economic propositions. A variety of engagement mechanisms are provided by the economic development and collaboration system to assist users in democratizing their interests. The system allows for a variety of forms of financial support of each economic proposition and provides valuable statistical data which may be utilized by entrepreneurs, business owners, developers, lenders, investors, or public officials when considering whether to implement or support the implementation of one or more economic propositions.
Economic development and collaboration system
An exemplary non-limiting embodiment of an economic development and collaboration system, which enables individuals within a community to efficiently identify and express their interests in one or more economic propositions, is disclosed herein. The economic development and collaboration system comprises a software application which is configured to allow users to uniquely interface with the one or more economic propositions. The system allows for its users to efficiently identify and express support or disapproval of one or more economic propositions. A variety of engagement mechanisms are provided by the economic development and collaboration system to assist users in democratizing their interests. The system allows for a variety of forms of financial support of each economic proposition and provides valuable statistical data which may be utilized by entrepreneurs, business owners, developers, lenders, investors, or public officials when considering whether to implement or support the implementation of one or more economic propositions.
SERVER DEVICE, TERMINAL DEVICE, INFORMATION PROCESSING PROGRAM, AND INFORMATION PROCESSING METHOD
A server device, a terminal device, an information processing program, and an information processing method capable of giving the premium back to a purpose appropriate for the user are provided. A server device (10) according to the present disclosure includes a generation section (112) that acquires insurance type information (201) indicating a type of insurance that a user purchases and pertaining information (202) related to the insurance, and generates a candidate list (30) of donation recipients including information regarding one or more donation recipients on the basis of the insurance type information and the pertaining information that have been acquired.
SERVER DEVICE, TERMINAL DEVICE, INFORMATION PROCESSING PROGRAM, AND INFORMATION PROCESSING METHOD
A server device, a terminal device, an information processing program, and an information processing method capable of giving the premium back to a purpose appropriate for the user are provided. A server device (10) according to the present disclosure includes a generation section (112) that acquires insurance type information (201) indicating a type of insurance that a user purchases and pertaining information (202) related to the insurance, and generates a candidate list (30) of donation recipients including information regarding one or more donation recipients on the basis of the insurance type information and the pertaining information that have been acquired.
Generation online e-commerce and networking system transform scattered assets data on the internet into centralized assets data and generate my assets ratings for internet users
A new generation online e-commerce and networking system is disclosed. According to the embodiments of the present invention, the online e-commerce and networking system enables: 1) a user to obtain estimated market value or appraisal value of assets associated with said user wherein said assets data scattered in multiple computer systems are centrally retained in said computer system; 2) automatic calculation of said user's estimated wealth; 3) said user or an entity to request or solicit sponsorships from sponsors for purchasing or selling assets; 4) automatic determination the ratings of said user's wealth among wealth figures of groups; and 5) automatic display said user's wealth and rating information within said computer system with said user's controls. These are revolutionary technologies to disrupt the traditional distributed user data on the Internet and in business systems to create a favorable digital infrastructure environment or user-data-interconnected Internet fabric for the rapid acceleration of the next generation Internet.