Amazon Technologies, Inc.

Jason Stephen Merron

Andrew Michael Nienhaus

Timothy R Heithaus

Neven Tomislav Boric Bargetto

Vanessa Graham Murdock

Sandeep Avula

Ruimin Zhang

Guang Liu

Matthew Charles Johnson

Sina Khaleghi

Systems, devices, and methods are provided for training and/or inferencing using a list ordering model. A list ordering model, such as a Markov chain, may be trained using a plurality of lists with location metadata in common, wherein a first list of the plurality comprises items and corresponding competition timestamps. A list ordering model may accept, as an input, a plurality of items, and determine, as an output, an order for the plurality of items. Recommendations may be generated based on the determined order.

In-store navigation using list ordering models

Techniques described herein include systems and methods for utilizing a shopping list generated by a user in one or more shopping list features. A list of items including keywords not associated with specific items may be received. A user interface may be updated to present the list of items, with a first area of the user interface corresponding to uncompleted tasks associated with a keyword of the list, and a second area corresponding to completed tasks associated with a keyword of the list. One or more sensors may receive information about an item. Input about an interaction with the user interface and a keyword of the list may be received. The user interface may be updated to move the keyword of the list from the first area to the second area. A mapping of the keyword to the item may be updated by a computer system.

Shopping list and cart integration

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Seattle, WA, United States of America

Jason Stephen Merron