<?xml version="1.0" encoding="UTF-8"?><ns2:project xmlns:ns1="http://gtr.rcuk.ac.uk/gtr/api" xmlns:ns2="http://gtr.rcuk.ac.uk/gtr/api/project" xmlns:ns3="http://gtr.rcuk.ac.uk/gtr/api/fund" xmlns:ns4="http://gtr.rcuk.ac.uk/gtr/api/person" xmlns:ns5="http://gtr.rcuk.ac.uk/gtr/api/project/outcome" xmlns:ns6="http://gtr.rcuk.ac.uk/gtr/api/organisation" ns1:created="2026-07-08T08:44:08Z" ns1:href="http://gtr.ukri.org/gtr/api/projects/084B638C-D166-4942-95E6-89D96197ECA8" ns1:id="084B638C-D166-4942-95E6-89D96197ECA8"><ns1:links><ns1:link ns1:href="http://gtr.ukri.org/gtr/api/persons/43902FFA-EF65-44F9-9D2A-A676AF684099" ns1:rel="PM_PER"/><ns1:link ns1:href="http://gtr.ukri.org/gtr/api/organisations/D774C3D8-CD91-4960-8DBD-57491B8CDE45" ns1:rel="LEAD_ORG"/><ns1:link ns1:href="http://gtr.ukri.org/gtr/api/organisations/D774C3D8-CD91-4960-8DBD-57491B8CDE45" ns1:rel="PARTICIPANT_ORG"/><ns1:link ns1:end="2019-10-31T00:00:00Z" ns1:href="http://gtr.ukri.org/gtr/api/funds/798DE0D5-C4A4-46E5-8E67-3F1F87D0552B" ns1:rel="FUND" ns1:start="2018-11-01T00:00:00Z"/></ns1:links><ns2:identifiers><ns2:identifier ns2:type="RCUK">104564</ns2:identifier></ns2:identifiers><ns2:title>IMAGINE: Developing AI for targeted and dynamic content auto-generation</ns2:title><ns2:status>Closed</ns2:status><ns2:grantCategory>Feasibility Studies</ns2:grantCategory><ns2:leadFunder>Innovate UK</ns2:leadFunder><ns2:abstractText>&amp;quot;The digital advertisement industry is undergoing a fundamental technology change with advent of machine-learning and big-data, and the introduction of novel programmatic business models including real-time-bidding technologies. There is massive potential for growth if machine-learning algorithms can be developed to successfully deliver personalised campaigns.

Viewers are exposed to 360 digital ads per day, however engagement rates are just 0.05%. Targeted creative (delivering user-specific content and composition) is proven to have a 54% improvement on engagement and can add 30% value across the advertiser/publisher value chain, however, 97% of campaigns are not utilising these techniques as they are very labour-intensive to produce and not currently compatible with a real-time service.

MediaGamma's existing bid management technology delivers lightening quick response times which has secured initial commercial traction. Now, they have developed state-of-the-art deep-learning techniques applied to auto-generation of images or text, and with this project, aim to be the first to automatically generate entire targeted creative campaigns to maximise user engagement.&amp;quot;</ns2:abstractText></ns2:project>