System and Method for Creating and Applying Predictive User Click Models to Predict a Target Page Associated with a Search Query

• US 20090094196A1
• Filed: 10/04/2007
• Published: 04/09/2009
• Est. Priority Date: 10/04/2007
• Status: Active Grant

• Current Assignee: R2 Solutions LLC (Acacia Research Corporation)
• Original Assignee: Yahoo! Inc. (Apollo Global Management, Inc.)
• Inventors: Piwowarski, Benjamin, Zaragoza, Hugo
• Granted Patent: US 9,195,743 B2
• Time in Patent Office: Days
• US Class Current: 1/1
• CPC Class Codes: G06F 16/951 Indexing; Web crawling techniques
• CPC Class Codes: G06F 16/954 Navigation, e.g. using categorised browsing

Abstract

Systems and methods for predicting a target page associated with a search query are disclosed. Generally, a predictive user click model module defines a set of sessions and builds a model to predict whether a webpage is a target page associated with a search query based on a number of times, over the set of sessions, that a user as defined in the session clicks within the same session on a given webpage associated with a given search query versus a number of sessions in the set of sessions.

Claims