Background
AudienceScience owned three related patents covering the selection of online advertisements. The claimed system combined information about the webpage a user requested, the user’s browsing history, and performance data showing how much revenue advertisements had generated. It then weighted matching ads and selected one for display.
AudienceScience sued Google and YouTube in the Northern District of California. The district court granted judgment on the pleadings, concluding that the asserted claims were ineligible under 35 U.S.C. § 101. It also found amendment futile. AudienceScience appealed, arguing that its particular combination of contextual and behavioral targeting improved internet-advertising technology and that factual disputes prevented an early eligibility ruling.
The Court’s Holding
The Federal Circuit affirmed. At the first step of the Supreme Court’s Alice framework, the panel characterized the claims as targeting advertisements to internet users to maximize revenue. That is an abstract idea, the court held, even though the targeting occurs online. The claims addressed the familiar business problem of choosing effective advertisements, not a technological problem unique to computer networks. They recited collecting information, matching ads, assigning weights, and displaying an ad without specifying a technological mechanism that improved computer operation.
At Alice step two, neither combining page context with user history nor assigning revenue-based performance scores supplied an inventive concept. The patent itself described contextual and behavioral targeting as conventional, and the claims used generic steps to combine them. The performance-score limitation likewise described a desired result without a specific implementation.
The panel also rejected AudienceScience’s request for another chance to amend its complaint. AudienceScience never sought leave to amend below, supplied no proposed amended complaint, and did not explain with specificity what new allegations would change the analysis. It therefore forfeited that argument.
Key Takeaways
- Moving a conventional advertising-selection practice onto the internet does not by itself create patent-eligible subject matter.
- Software claims fare better when they identify a specific technical mechanism, not merely data inputs, rankings, and a desired commercial result.
- A patent owner opposing an early Section 101 motion should plead concrete inventive facts and timely request leave to amend.
Why It Matters
The nonprecedential decision reinforces a demanding line between improved computer technology and computer-assisted business logic. Combining several kinds of useful data can produce a commercially valuable recommendation system, but value and specificity at the business-rule level do not necessarily amount to a technical invention under Section 101.
For companies developing advertising, recommendation, or ranking systems, the ruling underscores the importance of drafting claims around how the technology performs a concrete computational improvement. For litigants, it also shows that procedural choices matter: a party that wants to rely on additional factual allegations should put them before the trial court rather than waiting for appeal.
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