Walmart Apollo, LLC

Omar Saeed Siddiqui

George Roumeliotis

Abilash Amarthaluri

Zuzar Fakhruddin Nafar

Bala Srinivas Pillarisetty

Shashank Reddy Gudupally

Rohit Deep

Chandni Jain

A method including tracking a dynamic source ranking for a content provider separately by item categories of items of a content catalog. The method also can include receiving a new value to be associated with an attribute in an attribute-value pair for an item of the items. The new value can be provided by the content provider. The method additionally can include generating a priority score for the new value based on input features comprising the dynamic source ranking for the content provider for an item category of the item categories in which the item is classified, a confidence score for the new value, and an offer status of the new value. A first weighting associated with the dynamic source ranking and a second weighting associated with the confidence score are each greater than a third weighting associated with the offer status. The method further can include overriding an existing value in the content catalog associated with the attribute for the item with the new value based on a comparison of the priority score for the new value exceeding a priority score for the existing value. Other embodiments are described.

Automatic strategic updates of a content catalog using content provider rankings and confidence scoring

A method including providing a content catalog for items. The content catalog can include attributes for the items, values associated with the attributes, content provider identifiers of content providers that provided the values, and confidence scores for the values. The method also can include tracking source rankings for the content providers for item categories. The method additionally can include receiving a new value associated with an attribute of the attributes for an item of the items. The new value can be provided by a content provider of the content providers. The method further can include generating a priority score for the new value based on a set of input features associated with the new value and a set of score weightings associated with the set of input features. The set of input features can include (a) a source ranking of the source rankings for the content provider for an item category of the item categories associated with the item and (b) a confidence score for the new value. The method additionally can include overriding an existing value of the values in the content catalog associated with the attribute with the new value based on a comparison of the priority score for the new value exceeding a priority score for the existing value. Other embodiments are disclosed.

Systems and methods including one or more processing modules and one or more non-transitory storage modules storing computing instructions configured to run on the one or more processing modules and perform acts of determining an accuracy score for existing product information using a first set of rules that compares the existing product information for the product with product information of other internal or external sources, determining if the accuracy score exceeds a predetermined accuracy threshold, automatically replacing incorrect product information in the existing product information with correct product information from the other sources if the accuracy score does not exceed the predetermined accuracy threshold, coordinating displaying of the existing product information with the correct product information replacing the incorrect product information on a webpage for the product on a website of the online retailer.

Systems and methods for correcting incorrect product information in an electronic data catalog

Systems and methods including one or more processing modules and one or more non-transitory storage modules storing computing instructions configured to run on the one or more processing modules and perform acts of receiving search queries from users, coordinating displaying of search results for the search queries, receiving an indication that the users selected products in the search results, associating each search query with a product type based on products selected by the users, identifying product attributes in each search query, determining an attribute weight for each product attribute for the product type, determining which product attributes are recorded in product information for each product, determining a product attribute score for each product, receiving an additional search query, and selecting a first portion of products for display in additional search results for the additional search query.

Systems and methods for determining product search results based on product attribute scores

Systems and methods including one or more processing modules and one or more non-transitory storage modules storing computing instructions configured to run on the one or more processing modules and perform acts of displaying a plurality of facets of a product type on a website of an online retailer in a plurality of facet orders, determining a first individual number of times a facet was selected when in a first position, determining a second individual number of times the facet was selected when in a second position, estimating a first estimated number of times the facet would have been selected if the facet had been in the first position rather than the second position, determining a ranking of the plurality of facets, and coordinating displaying at least a portion of the plurality of facets on the website of the online retailer in an order of the ranking.

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Sunnyvale, CA, United States of America

Omar Saeed Siddiqui