System and method for facilitating real estate transactions by analyzing user-provided data

A method of identifying a home to facilitate a real estate transaction includes generating a set of neural network objects wherein each object includes a neural network model, an address, and an image, training the neural network model in each object to emit a confidence score by a neural network an...

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Bibliographische Detailangaben
Hauptverfasser:	Shou, Chenchao, Smith, Taylor Griffin
Format:	Patent
Sprache:	eng
Schlagworte:	CALCULATING COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS COMPUTING COUNTING DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FORADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORYOR FORECASTING PURPOSES PHYSICS SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR
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Beschreibung
Zusammenfassung:	A method of identifying a home to facilitate a real estate transaction includes generating a set of neural network objects wherein each object includes a neural network model, an address, and an image, training the neural network model in each object to emit a confidence score by a neural network analyzing the image to identify key features, receiving an example address and example image, selecting a set of trained neural network objects wherein each object in the set of trained neural network objects includes a trained neural network model, landmark address, and landmark image, generating a set of confidence scores by applying the example image to the trained neural network model in each object, generating based on the set of confidence scores a result set, transmitting the result set to a user, and displaying the result in the user device.