In the publishing sector you are always under pressure to produce engaging content.
Audience is a constantly moving target. Gaining deep understanding and extracting fast
insights to improve user experience and loyalty is a never-ending race.
Continually new data and analytical procedures appear on the horizon and challenge each data
Does your DMP look like this?
Building a recommendation system to help readers find articles that are most interesting to them
is a crucial task for every online news service.
Suppose, you run a Content Management system (CMS) that goes beyond linguistic analysis and
automatically extracts named entities and turns articles into topic distributions. Let us also assume
that the Data Management Platform you operate, supports audience segmentation.
Then, your favorite data infrastructure is advanced already, but still is not able to compute
Closing this gap is easy:
Visit the blueprint market place, select audience and content profiler
that support your data platforms, pick a recommender that links audience and content profile and
arrange these components into a data workflow.
Feed Predictive Works' big data fabric with this blueprint and execute it. Then, you are ready to
deliver news articles that really match the interests of your audience.
Your favorite data platforms are not able yet to compute topic distributions or generate segments of
similar readers? Visit the blueprint market place.