Burning Glass Technologies, LLC

Other

Gain Credit Holdings, Inc

Global Analytics Holdings, Inc.

Global Analytics, Inc

Theodore James Crooks

Anu Kumar Pathria

Krishna Gopinathan

Mark Alan Laffoon

Matthew G Morris

Dayne B Freitag

Edmond D Chow

Matthew N Dailey

Louis Steven Biafore

Terry L Zentz

Christoper Deboer

The shared lending risk system and method provide a lead scoring engine that generates a score representing an assessment of the credit risk of the transaction that is based on an assessment of the merchant, purchaser and product. The score is provided to a pool of lenders and a credit product is selected from the pool based on the score.

Systems and methods for shared lending risk

A structured reference credit decision device includes a database configured to store information related to applicants, potential customers, referencers, potential referencers, lenders, and other third parties, a fetch data component coupled with the database, the fetch data component configured to receive input application information, fetch relevant information from the database, based on the application information, related to a subject applicant of the input application information and at least one referencer, and generate a plurality of linked data packages based on the fetched information, and an evaluation device coupled with the fetch data component, the evaluation engine configure to apply credit outcome models to the plurality of linked data packages and generate a recommendation relative to the subject applicant or application.

Systems and methods for making structured reference credit decisions

The similarity between two data objects of the same type (e.g., two resumes, two job descriptions, etc.) is determined using predictive modeling. A basic assumption is that training datasets are available containing compatibility measures between objects of the first type and data objects of a second type, but that training datasets measuring similarity between objects of the first type are not. A first predictive model is trained to assess compatibility between data objects of a first type and data objects of a second type. Then, in one scenario, pairs of objects of the first type are compared for similarity by running them through the first predictive model as if one object of the pair is an object of the first type and the other object of the pair is an object of the second type. Alternatively, for each object in a set of objects of the first type, the first predictive model is used to create a respective vector of compatibility scores against a fixed set of objects of the second type; these various vectors are then used to derive measures of similarity between pairs of objects of the first type, from which a second predictive model is trained, and the second predictive model is then used to assess the similarity of pairs of objects of the first type.

Application-specific method and apparatus for assessing similarity between two data objects

A method and apparatus is disclosed for making predictions about entities represented in documents and for information analysis of text documents or the like, from a large number of such documents. Predictive models are executed responsive to variables derived from canonical documents to determine documents containing desired attributes or characteristics. The canonical documents are derived from standardized documents, which, in turn, are derived from original documents.

Method and apparatus for making predictions about entities represented in documents

An apparatus for rental of articles such as videocassettes comprises an outer housing, and a storage assembly within the housing having storage locations for storing a plurality of videocassettes. The housing has a front panel including an array of separate display areas each containing pictorial indicia representing a particular videocassette and a predetermined selection code corresponding to that videocassette, a selection device adjacent the array for allowing a user to enter the selection code of a selected videocassette, and a delivery chute for delivering selected videocassettes to users. A transport mechanism is provided for retrieving selected videocassettes from the storage assembly for delivery to users, and for returning videocassettes to the storage assembly. A control device associates each stored videocassette with its storage location and controls the transport mechanism to deliver selected videocassettes to customers.

Apparatus for renting articles

Growing community of inventors

La Mesa, CA, United States of America

Theodore James Crooks