SYSTEMS AND METHODS FOR AUTOMATICALLY GENERATING SEMANTICALLY AND CONTEXTUALLY AWARE ADVERTISING INCLUDING SELECTING ADVERTISER BASED ON CONTENT MATCH

Abstract

A method includes: retrieving information on advertisers using identification information to generate advertiser profiles; retrieving a user profile about a user; computing, with a user mindset prediction language model, the user's mindset based on primary content presented to the user; determining, with a contextual placement language model, one or more locations in the primary content that contextually fit the user's mindset, or the profile of the user; generating in real-time, with a supplemental content generation language model, contextually consistent advertisements for the advertisers at the one or more determined locations based on the advertiser profiles; ranking in real time, with a content ranking language model, the advertisements by their conversion probability at least partially based on the contextual fit of the user's mindset, or the profile of the user with the advertisement; and inserting the highest-ranking advertisement at the one or more determined locations within the primary content.

CPC Classifications