Uber Technologies, Inc.

Microsoft Technology Licensing, LLC

Audrey Colle

Jeff Couckuyt

Jose De Oliveira

Sudheer Pratipati

Laxmikant Agrawal

Charles Travis Scott Haberman

Jason A Dujardin-Terry

Seak Fei Lei

A system includes a model generating component to generate a prediction tree model based on training data and an input component to receive input data including a destination in a geographical area. A computation component identifies at least one parking venue or at least one parking space near the destination in the geographical area and to generate at least one parking prediction corresponding to the at least one parking venue or the at least one parking space based at least in part on applying the input data to the prediction tree model. A presentation component presents the at least one parking venue or the at least one parking space and to present the at least one parking prediction to a user.

Parking identification and availability prediction

In various embodiments, methods and systems for dynamic validation of selectable data are provided. This may be accomplished by receiving a selection of an item such that preview interface elements associated with the validity of the selection are dynamically presented via an interface. The received preview-selected item is validated based on determining whether the preview-selected item and a set of one or more selected items are valid for a computation involving both the preview-selected item and the set of the one or more selected items. Upon determining that the preview-selected item is not combinable with at least one selected item in the set of one or more selected items, a preview interface element associated with the at least one selected item is provided for display such that an anticipated effect of executing a full selection of the preview-selected item is dynamically previewed.

Dynamic validation of selectable data

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Bellevue, WA, United States of America

Audrey Colle