Posts Tagged ‘recommendation systems’

How to Tell If Your Recommender Will Fail (Before You Spend All That Money On It)

Wednesday, July 10th, 2013

Awhile back, we started exploring how individual interest graphs, powered by Primal’s data service, can be used to improve the performance of recommendation engines.

recommender-fail

Our surprising conclusion: Marketers and technology buyers are sold on the promise of personalized recommendations. Unfortunately, they don’t know how to tell recommenders apart, even when they’re built on radically different technical approaches. And the results are mixed, at best. End users are left frustrated, wondering when this promise of personalized recommendations will actually be delivered.

In this post, we’re going to show you how to ask the right questions of your technology provider, to make an informed choice based on business considerations, not technical jargon. We’ll highlight some of the common risks and pitfalls, and conclude with a statement of what to expect from your technology provider.  (more…)