Method and Apparatus for Context-Based Content Recommendation

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.

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;   analyze the user behaviors;   storing all resulting information in a memory as the user's current context vector including 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 selected as a user captures expressed interest;   decrementing corresponding entries as user actions move further into the past;   incrementing a corresponding vector entry for documents that a user selects, 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.