One or more computing devices, systems, and/or methods for content recommendations
using historical future data are provided. A model serving delay time is computed as an …

The present disclosure relates to systems, methods, and non-transitory computer-readable
media that recommends application features of software applications based on in …

In implementations of systems for identifying templates based on fonts, a computing device
implements an identification system to receive input data describing a selection of a font …

Systems and methods including one or more processors and one or more non-transitory
storage devices storing comput ing instructions configured to run on the one or more …

The disclosure is directed to various ways of improving the functioning of computer systems,
information networks, data stores, search engine systems and methods, and other …

Techniques for updating a machine learning (ML) model are described. A device or system
may receive input data corresponding to a natural or non-natural language (eg, gesture) …

Font recommendation techniques are described that provide recommendations of fonts
based on a variety of factors, automatically and without user intervention in real time. This is …

Abstract Systems and methods including one or more processors and one or more non-
transitory computer-readable media storing computing instructions that, when executed on …

An online concierge system uses a cumulative incrementality score to evaluate the
performance of incrementality models used by the online concierge system to identify users …

A central database system trains a machine-learned model based on training data
identifying entity characteristics of account holder entities, content item characteristics of a …