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US Patent 11228660 Systems and methods for webpage personalization

Patent 11228660 was granted and assigned to Walmart on January, 2022 by the United States Patent and Trademark Office.

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Contents

Is a
Patent
Patent
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Patent attributes

Patent Applicant
Walmart
Walmart
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Current Assignee
Walmart
Walmart
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Patent Jurisdiction
United States Patent and Trademark Office
United States Patent and Trademark Office
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Patent Number
112286600
Patent Inventor Names
Kannan Achan0
Kaushiki Nag0
Sushant Kumar0
Venkata Syam Prakash Rapaka0
Date of Patent
January 18, 2022
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Patent Application Number
167808000
Date Filed
February 3, 2020
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Patent Citations
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US Patent 10002368 System and method for recommending advertisement placements online in a real-time bidding environment
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US Patent 10037357 Selecting between global and location-specific search results
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Patent Citations Received
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US Patent 11935045 Mobile wallet account provisioning systems and methods
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0
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US Patent 12079803 Mobile wallet account balance systems and methods
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US Patent 12079802 Mobile wallet account balance systems and methods
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US Patent 11995621 Systems and methods for native, non-native, and hybrid registration and use of tags for real-time services
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US Patent 12086809 Use limitations for secondary users of financial accounts
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US Patent 11928668 Mobile wallet using tokenized card systems and methods
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Patent Primary Examiner
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Syed H Hasan
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Patent abstract

A system can include one or more processing modules and one or more non-transitory computer-readable media storing computing instructions configured to run on the one or more processing modules and perform receiving, from an electronic device, a search query from a user of a plurality of users; processing first data; and facilitating displaying a set of items. Processing the first data can comprise determining one or more keywords by capturing the one or more keywords during a time window; creating a feature set of second data associated with at least a portion of the plurality of users; determining a set of items of the item set as being based at least in part on an item vector representation and a keyword vector representation; determining a respective purchase probability associated with each item of the set of items of the item set; ranking the set of items.

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