Intelligent snap assist recommendation model

The techniques disclosed herein enable systems to provide intelligent snap assist recommendations using a diverse set of factors and factor weights. To generate recommendations, a system receives a user input placing a first item in a region of a snapped configuration in a display environment. In re...

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Bibliographic Details
Main Authors Tubbs, Kenneth Martin, Suman, Upasna, Carson, Stacy, Kruzick, Amy Elizabeth, Kreiseder, Peter Joseph
Format Patent
LanguageEnglish
Published 11.04.2023
Subjects
CALCULATING
COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
COMPUTING
COUNTING
ELECTRIC DIGITAL DATA PROCESSING
PHYSICS
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Summary:The techniques disclosed herein enable systems to provide intelligent snap assist recommendations using a diverse set of factors and factor weights. To generate recommendations, a system receives a user input placing a first item in a region of a snapped configuration in a display environment. In response, the system assigns a confidence score for a plurality of items including items open in the display environment as well as items that are not open. The system then ranks the items based on confidence score and selects a list of recommended items from the ranked list. The recommended items are then presented in a second region of the snapped configuration for selection. The system is further configured to receive and analyze user selections of snapped items to learn over time and adjust confidence scoring.
Bibliography:Application Number: US202117234739