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US Patent 11676193 Optimizing diversity and relevance for catalog items

Patent 11676193 was granted and assigned to Amazon on June, 2023 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
Amazon
Amazon
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Current Assignee
Amazon
Amazon
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Patent Jurisdiction
United States Patent and Trademark Office
United States Patent and Trademark Office
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Patent Number
116761930
Date of Patent
June 13, 2023
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Patent Application Number
166802620
Date Filed
November 11, 2019
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Patent Citations
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US Patent 10332187 Intelligent integration system for product compatibility determination
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US Patent 10339538 Method and system for generating recommendations
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US Patent 10373230 Computer-implemented method for recommendation system input management
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US Patent 10380123 Store-specific recommendation engine
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US Patent 11250488 Method and system for determining new categories with which a target user has not interacted
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US Patent 10796321 Method and system for generating purchase recommendations based on purchase category associations
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US Patent 9665902 Personalized recommendation method and system, and computer-readable record medium
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US Patent 9734503 Hosted product recommendations
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...
Patent Citations Received
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US Patent 11935117 Risk assessment in lending
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Patent Primary Examiner
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Michelle T Kringen
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Methods, systems, and computer-readable media for optimizing diversity and relevance for catalog items are disclosed. Respective target metrics are determined for a plurality of categories comprising a plurality of items in an electronic catalog. First and second categories comprise first and second subsets of the plurality of items, and the respective target metric for the first category is determined using aggregation of individual target metrics for the first subset. Respective similarity scores are determined between pairs of the categories. N item categories are selected from the plurality of categories based at least in part on the respective target metrics and based at least in part on the respective similarity scores. A third subset of the plurality of items is selected from across the N item categories, including the first and second categories. The selected items optimize both category diversity and item relevance.

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