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US Patent 11755598 Predictive conversion systems and methods

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Contents

Is a
Patent
Patent

Patent attributes

Patent Jurisdiction
United States Patent and Trademark Office
United States Patent and Trademark Office
Patent Number
11755598
Patent Inventor Names
Milos Milinko Tatarevic
Kevin Allen Laws
Aleksandar Milutin Bradic
Komal Singh Sethi
Date of Patent
September 12, 2023
Patent Application Number
17581742
Date Filed
January 21, 2022
Patent Citations
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US Patent 9104718 Systems, methods, and devices for measuring similarity of and generating recommendations for unique items
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US Patent 10007946 Systems, methods, and devices for measuring similarity of and generating recommendations for unique items
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US Patent 10109001 Systems, methods, and devices for determining and displaying market relative position of unique items
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US Patent 10115074 Predictive conversion systems and methods
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US Patent 10127596 Systems, methods, and devices for generating recommendations of unique items
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US Patent 10140655 Used automobile transaction facilitation for a specific used automobile
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US Patent 10157231 Systems, methods, and devices for identifying and presenting identifications of significant attributes of unique items
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US Patent 10223720 Automobile transaction facilitation using a manufacturer response
...
Patent Primary Examiner
‌
Albert M Phillips, III
CPC Code
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G06F 16/248
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G06F 16/907
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G06F 16/2465
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G06F 16/2462
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G06F 16/24578
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G06F 16/951

In one embodiment, a system and method of predicting sale transaction conversion rate of an item operates through a search of information in response to a query over a network. The item can be included in a category of items. Information for other relevant items of the category is available through network query and historical data, among others. Respective information for the other items of the category is available. The system and method includes discovering available information of the item of interest, extracting certain of the available information of the item, analyzing the certain information by comparing the information to other item information, weighting the information for the item in comparison to other items of the category, calculating a predictive score for the item of interest, and presenting the information of the item of interest ranked according to the predictive score as compared to other items of the category.

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