SYSTEMS AND METHODS FOR ANALYZING AND DISPLAYING ITEM RECOMMENDATIONS

Systems and methods including one or more processors and one or more non-transitory computer readable media storing computing instructions that, when executed on the one or more processors, cause the one or more processors to perform: receiving historical interaction information corresponding to a u...

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Bibliographic Details
Main Authors Subramaniam, Sinduja, Korpeoglu, Evren, Achan, Kannan, Cao, Yijie, Sridhar, Rahul, Cai, Shiqin
Format Patent
LanguageEnglish
Published 01.08.2024
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Summary:Systems and methods including one or more processors and one or more non-transitory computer readable media storing computing instructions that, when executed on the one or more processors, cause the one or more processors to perform: receiving historical interaction information corresponding to a user in a marketplace; identifying a shopping journey and a basket type for the user based on the cart context and items in a cart for the user for a current user session; identifying a price threshold for the cart for the user; building a machine learning model for the current user session in real-time based on the historical interaction information, the cart context, the basket type and the price threshold to determine a ranking of new items to display to the user to add to the cart for the current user session, wherein the new items satisfy the price threshold; re-ranking the ranking of the new items to display to the user in the current user session based on item attributes of the new items; and transmitting the re-ranked ranking of the new items to the user via a graphical user interface (GUI) during the current user session. Other embodiments are disclosed.
Bibliography:Application Number: US202318103229