US2019102809A1PendingUtilityA1

System, methods, and media for evaluating companies based on social performance

Individually held — no corporate assignee on recordPriority: Aug 18, 2009Filed: Aug 7, 2018Published: Apr 4, 2019
Est. expiryAug 18, 2029(~3 yrs left)· nominal 20-yr term from priority
G06Q 10/40G06Q 30/0277G06Q 30/0282G06Q 30/0203G06Q 30/02G06Q 50/01
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Claims

Abstract

Mechanisms for evaluating companies based on social performance are provided. In some embodiments, systems comprise: at least one processor that: receives data regarding a plurality of companies from a plurality of data sources, wherein the data includes score values regarding the social performance of the plurality of companies; calculates category scores for each of the plurality of companies in each of a plurality of categories based on the score values; calculates a combined score for each of the plurality of companies based on the category scores; compares at least one of the combined score and the category scores for one of the plurality of companies to a threshold; and based on results of the comparison, presents an advertisement to the user that corresponds to the one of the plurality of companies.

Claims

exact text as granted — not AI-modified
What is claimed is: 
     
         1 . A system for evaluating companies based on social performance, comprising:
 at least one processor that:
 receives data regarding a plurality of companies from a plurality of data sources, wherein a first portion of the data received from at least one of the plurality of data sources includes score values regarding the social performance of the plurality of companies that use a different scoring system than score values included in a second portion of the data received from at least one other of the plurality of data sources; 
 converts the score values included in the first portion of the data and the score values included in the second portion of the data into uniform score values in a single scoring system, wherein the converting includes determining and applying conversion tables that convert the scores values for the plurality of companies for each data source into scores that fit a best fit beta function curve for the companies across all data sources and across all categories; 
 calculates category scores for each of the plurality of companies in each of a plurality of categories based on the uniform score values; 
 receives a selection of a first profile by a user, wherein the first profile specifies a first plurality of weights, wherein each of the first plurality of weights corresponds to a unique one of the plurality of categories; 
 calculates a first combined score for each of the plurality of companies based on a weighting of the category scores using the first plurality of weights; 
 causes a first list of the plurality of companies and the corresponding first combined score for each of the plurality of companies to be presented to the user; 
 receives a selection of a second profile by the user, wherein the second profile specifies a second plurality of weights, wherein each of the second plurality of weights corresponds to a unique one of the plurality of categories; 
 calculates a second combined score for each of the plurality of companies based on a weighting of the category scores using the second plurality of weights; and 
 causes a second list of the plurality of companies and the corresponding second combined score for each of the plurality of companies to be presented to the user.

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