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System and methods for constructing personalized context-sensitive portal pages or views by analyzing patterns of users' information access activities

  • US 7,702,635 B2
  • Filed: 07/27/2005
  • Issued: 04/20/2010
  • Est. Priority Date: 04/04/2002
  • Status: Active Grant
First Claim
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1. A computer-implemented method comprising:

  • employing a processor executing computer-executable instructions stored on a computer-readable storage medium to implement the following acts;

    computing a statistical predictive model of a user'"'"'s web page revisit interval based at least on the user'"'"'s historical pattern of access to a web page, the user'"'"'s pattern of access is determined using data collected in connection with a plurality of the user'"'"'s past accesses to the web page;

    using inferred user revisit intervals derived from the predictive model to distinguish between an automated refresh of the web page and a request for access to the web page by the user; and

    determining a probability of information associated with the web page having value to a user given evidence of the user'"'"'s interest in the web page, the probability formulated as;


    Pr(Information Value |E±

    , Ez, . . . Ej_),wherein Pr is the probability, Information Value relates to an importance of the site and topic to the user given evidence E relating to attributes of information importance, and J being an integer, the evidence including at least one of;

    how much time the user spends observing the web page;

    higher-level topic of the web page viewed;

    interactivity with the web page; and

    a consideration of navigation efforts of a user to navigate to the web page;

    comparing a log of accesses to the web page with a statistical mode of a probability distribution of the user'"'"'s revisit intervals for a respective URL; and

    discarding accesses in the log that are within a tolerance of the statistical mode when at least 10% of the intervals between logged accesses belong to the mode.

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