Patent ID: 8095523
Filing Date: 2012-01-10
Classification: G06F

Abstract:
1. A computer implemented context-centric content recommendation method, comprising: establishing a current context for a user at a Web site based upon inputs that are representative of user actions at the Web site; capturing the user's current context information with an observer tag that is embedded in the Web site; determining the user's interest based on various user behaviors collected by the observer tag; using full spectrum behavioral fingerprint technology to analyze the behaviors; storing all resulting information in a memory as the user's current context vector, the context vector comprising a hybrid vector of terms and documents with weights on each entry reflecting how strongly that term or document reflects the user's current context; incrementing the context vector entries corresponding to terms and phrases entered or clicked as a user enters search terms and/or clicks navigation links to capture expressed interest; decrementing or decaying corresponding entries as user actions move further into the past; incrementing corresponding vector entry for documents that a user clicks on or indicates interest in, as determined based on a user's implicit actions; and generating a representation of the user's current context as a context vector for use in making recommendations of content to said user.