Method and apparatus for context-based content recommendation
First Claim
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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.
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Abstract
Starting with the people in and around enterprises, the expertise and work patterns stored in people'"'"'s brains as exhibited in their daily behavior is detected and captured. A behavioral based knowledge index is thus created that is used to produce expert-guided, personalized information.
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8 Claims
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1. A computer implemented context-centric content recommendation method, comprising:
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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. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8)
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Specification