Google Patent Hints at Ad Relevance Factors for Contextual Ads

A new patent application from Google gives hints about its plans to include relevancy factors in its contextual ad algorithms. According to Bill Slawski at SEO by the Sea, the filing describes a process of scoring ads by price, relevancy, and performance, using a technique that has popped up in several recent patent applications, "probabilistic hierarchical inferential learned cluster."

Google has been applying relevancy to ad algorithms since the fall, and causing problems for advertisers that are not factoring in Google's Quality Score when planning campaigns.

About the author

Kevin Newcomb joined ClickZ in August 2004, covering search marketing and other online marketing topics. He has been reporting on web-based businesses since 2000.

Before the bubble burst, Kevin was a marketing manager for an online computer reseller, handling copywriting, e-mail marketing, search marketing and running the affiliate program.

With a combination of real-world marketing experience and years of business journalism, Kevin brings to ClickZ a unique ability to deliver news and training materials that help online marketers do their jobs better.