Amazon Technologies, Inc.

Xiaonan Zhao

Daniel Bruce Lloyd

Sungro Yoon

Charles Lawrence Scott

Pranav Varia

Sneha Rajana

Ben Allison

Disclosed are one or more embodiments for a unique and personalized experience for a user interacting with an electronic commerce site by identifying user-preferred item attributes using supervised machine learning and presenting items to the user in an arrangement that is based on the identified item attributes. A shopping mission is determined according to user interactions with an electronic commerce site. The shopping mission is applied to an attribute prediction model that is trained to detect user-preferred item attributes for items included the item category and estimate a likelihood that an item containing a particular attribute will be purchased or interacted with during the interactions with the electronic commerce site.

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Seattle, WA, United States of America

Xiaonan Zhao