Walmart Apollo, LLC

Gaoyang Wang

Kannan Achan

Stephen Dean Guo

Shubham Gupta

Aditya Mantha

Yokila Arora

Shashank Kedia

Praveenkumar Kanumala

Anirudha Sundaresan

Parveenkumar Kanumala

This application relates to apparatus and methods for providing recommended items to advertise. In some examples, a computing device determines a first set of items for recommendation based on historical user data associated with a user, and a second set of items for recommendation based on real-time user session data for the user. The computing device may then determine a subset of the first set of items based on associated scores and a predetermined threshold number of first items that can be presented for optimal user interaction. The computing device may generate a set of item recommendations by combining the subset of the first set of items and at least one of the second set of items to present to the user as advertisements.

Systems and methods for generating real-time recommendations

This application relates to apparatus and methods for automatically determining and providing carousels specifically curated for a user. In some examples, a computing device obtains user transaction data identifying in-store and/or online transactions, and user engagement data identifying user interactions with items and carousels from user's prior sessions. The computing device determines a sequential order for presentation of carousels with a set of item recommendations. For example, the computing device scores each potential carousel based on prior user interactions and transactions with items and carousels. The carousels are then ranked and subsequently presented to the user based on their corresponding scores.

Methods and apparatus for automatically providing personalized carousels

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San Jose, CA, United States of America

Gaoyang Wang