Pinterest, inc. (20240428319). PROBABILISTIC DETERMINATION OF COMPATIBLE CONTENT
Contents
PROBABILISTIC DETERMINATION OF COMPATIBLE CONTENT
Organization Name
Inventor(s)
Brian Johnson of San Francisco CA (US)
John Milinovich of San Francisco CA (US)
Lance Alan Riedel of Menlo Park CA (US)
Andrew Look of San Francisco CA (US)
Mukund Narasimhan of Bellevue WA (US)
PROBABILISTIC DETERMINATION OF COMPATIBLE CONTENT
This abstract first appeared for US patent application 20240428319 titled 'PROBABILISTIC DETERMINATION OF COMPATIBLE CONTENT
Original Abstract Submitted
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.
