Systems, methods, and media for evaluating companies based on social performance
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-modifiedWhat is claimed is:
1 . A system for evaluating companies based on social performance, comprising:
a memory; and at least one hardware processor that is coupled to the memory and that:
receives a user-specified threshold;
receives information related to an advertisement space on a Web page;
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 profile by a user, wherein the profile specifies a plurality of weights, wherein each of the plurality of weights corresponds to a unique one of the plurality of categories;
calculates a combined score for each of the plurality of companies based on a weighting of the category scores using the plurality of weights;
selects an advertisement for presentation in the advertisement space of the Web page;
determines whether at least one of the combined score and the category scores of one of the plurality of companies that is affiliated with the selected advertisement passes the user-specified threshold; and
when the at least one of the combined score and the category scores meet the user-specified threshold, presents the advertisement in the advertisement space of the Web page.
2 . The system of claim 1 , wherein the at least one processor determines that another of the plurality of companies corresponds to a user-selected exclusionary factor and causes an advertisement of the other of the plurality of companies to be not presented.
3 . The system of claim 1 , wherein the at least one processor calculates one of the category scores for one of the plurality of categories based on a plurality of scores for subcategories in the one of the plurality of categories.
4 . A method for evaluating companies based on social performance, comprising:
receiving a user-specified threshold; receiving information related to an advertisement space on a Web page; receiving 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; converting, in a hardware processor, 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; calculating category scores for each of the plurality of companies in each of a plurality of categories based on the uniform score values;
receiving a selection of a profile by a user, wherein the profile specifies a plurality of weights, wherein each of the plurality of weights corresponds to a unique one of the plurality of categories;
calculating a combined score for each of the plurality of companies based on a weighting of the category scores using the plurality of weights; selecting an advertisement for presentation in the advertisement space of the Web page; determining whether at least one of the combined score and the category scores of one of the plurality of companies that is affiliated with the selected advertisement passes the user-specified threshold; and when the at least one of the combined score and the category scores meet the user-specified threshold, presenting the advertisement in the advertisement space of the Web page.
5 . The method of claim 4 , further comprising: determining that another of the plurality of companies corresponds to a user-selected exclusionary factor; and causing an advertisement of the other of the plurality of companies to be not presented.
6 . The method of claim 4 , wherein calculating one of the category scores for one of the plurality of categories is based on a plurality of scores for subcategories in the one of the plurality of categories.
7 . A non-transitory computer-readable medium containing computer-executable instructions that, when executed by a hardware processor, cause the processor to perform a method for evaluating companies based on social performance, the method comprising:
receiving a user-specified threshold; receiving information related to an advertisement space on a Web page; receiving 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; converting 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; calculating category scores for each of the plurality of companies in each of a plurality of categories based on the uniform score values; receiving a selection of a profile by a user, wherein the profile specifies a plurality of weights, wherein each of the plurality of weights corresponds to a unique one of the plurality of categories; calculating a combined score for each of the plurality of companies based on a weighting of the category scores using the plurality of weights; selecting an advertisement for presentation in the advertisement space of the Web page; determining whether at least one of the combined score and the category scores of one of the plurality of companies that is affiliated with the selected advertisement passes the user-specified threshold; and when the at least one of the combined score and the category scores meet the user-specified threshold, presenting the advertisement in the advertisement space of the Web page.
8 . The non-transitory computer-readable medium of claim 7 , wherein the method further comprises: determining that another of the plurality of companies corresponds to a user-selected exclusionary factor; and causing an advertisement of the other of the plurality of companies to be not presented.
9 . The non-transitory computer-readable medium of claim 7 wherein calculating one of the category scores for one of the plurality of categories is based on a plurality of scores for subcategories in the one of the plurality of categories.Join the waitlist — get patent alerts
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