Abstract: Some embodiments provide a system that generates different customized decks of cards with each deck being customized for a different user with a condensed and filtered set of business data that is relevant to that user. The customizations are based in part on monitored user behavior and user interactions with the cards. Cards identifying businesses that the user has viewed for the most amount of time, recommended to others, approved, or positively reviewed or rated are assigned high values. Cards identifying businesses that the user has viewed for the least amount of time, rejected, or negatively reviewed or rated are assigned low values. The system then continually updates the deck to remove cards identifying business with the lowest values while adding cards identifying businesses that resemble other businesses with assigned high values.

Abstract: Some embodiments provide a system that generates different customized decks of cards with each deck being customized for a different user with a condensed and filtered set of business data that is relevant to that user. The customizations are based in part on monitored user behavior and user interactions with the cards. Cards identifying businesses that the user has viewed for the most amount of time, recommended to others, approved, or positively reviewed or rated are assigned high values. Cards identifying businesses that the user has viewed for the least amount of time, rejected, or negatively reviewed or rated are assigned low values. The system then continually updates the deck to remove cards identifying business with the lowest values while adding cards identifying businesses that resemble other businesses with assigned high values.

Abstract: Some embodiments provide a custom score generation system by offering third parties access to data from a shared database that they can merge with their own proprietary data for the purpose of defining and producing new data services. The system provides interfaces for selecting data elements from the shared database, attributing weights to the selected data elements, and defining scoring rules or parameters to automatically evaluate the significance of the data element values. Additionally, conditions may be specified to include different sets of the selected data elements, to attribute different weights to the different sets of the selected data elements, and to define different scoring rules according to which conditions are satisfied. The system then automatically formulates the algorithm to produce the custom score in conformance with the provided inputs and based on values for the selected data elements that are specific to different entities.

Abstract: A credibility scoring system produces a multi-dimensional entity credibility score that is derived from multiple dimensional component scores. The credibility scoring system derives each dimensional component score from a different set of credibility data pertaining to different dimensional aspect of overall credibility. The different dimensional aspects factoring into the overall credibility determination include a stability dimension, transparency dimension, trustworthiness dimension, and sentiment dimension.

Abstract: Some embodiments provide a custom score generation system by offering third parties access to data from a shared database that they can merge with their own proprietary data for the purpose of defining and producing new data services. The system provides interfaces for selecting data elements from the shared database, attributing weights to the selected data elements, and defining scoring rules or parameters to automatically evaluate the significance of the data element values. Additionally, conditions may be specified to include different sets of the selected data elements, to attribute different weights to the different sets of the selected data elements, and to define different scoring rules according to which conditions are satisfied. The system then automatically formulates the algorithm to produce the custom score in conformance with the provided inputs and based on values for the selected data elements that are specific to different entities.

Abstract: A credibility scoring system produces a multi-dimensional entity credibility score that is derived from multiple dimensional component scores. The credibility scoring system derives each dimensional component score from a different set of credibility data pertaining to different dimensional aspect of overall credibility. The different dimensional aspects factoring into the overall credibility determination include a stability dimension, transparency dimension, trustworthiness dimension, and sentiment dimension.

Abstract: A credibility scoring system produces a multi-dimensional entity credibility score that is derived from multiple dimensional component scores. The credibility scoring system derives each dimensional component score from a different set of credibility data pertaining to different dimensional aspect of overall credibility. The different dimensional aspects factoring into the overall credibility determination include a stability dimension, transparency dimension, trustworthiness dimension, and sentiment dimension.