Pinterest, Inc.

Adlast, Inc.

John Milinovich

Andrew Look

Mukund Narasimhan

Parth Shah

Lance Alan Riedel

David Lee

Yu Liu

Neal Wiggins

Joe Isaacson

Jeremy Lucas

Manan Patel

Andrew Goldstein

Chris Sell

Nathanael Smith

Sujeeth

Greg Bowyer

James Turner

Brian W Johnson

Brian Johnson

According to aspects of the disclosed subject matter, a taste graph comprising likely content collection nodes with corresponding likely digital content items is generated through one or more analyses of a corpus of content collections that is maintained by the online content service. As should be understood, this corpus of content collections is comprised of a plurality of curated content collections, with each content collection comprising a plurality of digital content items. With this taste graph available, as a user generates (or in response to a user generating) a content collection of digital content items, reference can be made to the taste graph to identify one or more digital content items that may be added to the content collection, where the one or more digital content items have a probabilistic likelihood of being complimentary and/or compatible with the other digital content items of the content collection.

Probabilistic determination of compatible content

In a system for enabling a user to access a product or service, resources for accessing the product or service, such as apps on a user device, are explored in a specified order. A relatively lower priority resource is not explored until it is determined that all higher priority resources are unavailable. Within the content corresponding to an available resource, the user can be readily directed to the portion of the content that is associated with the particular product or service.

Systems and methods for directing access to products and services

Growing community of inventors

San Francisco, CA, United States of America

John Milinovich