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System and method for managing user attention by detecting hot and cold topics in social indexes

  • US 8,239,397 B2
  • Filed: 01/27/2009
  • Issued: 08/07/2012
  • Est. Priority Date: 01/27/2009
  • Status: Active Grant
First Claim
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1. A computer-implemented method for managing user attention by detecting hot topics in social indexes, comprising the steps of:

  • maintaining articles of digital information and at least one social index comprising topics that each relate to one or more of the articles;

    retrieving topic models matched to the digital information for each topic, comprising;

    determining a form of training used to form the topic models;

    generating a training score under example-based training for each topic chosen, comprising;

    counting numbers of positive and negative training examples;

    setting a training score in proportion to the positive and negative training examples numbers used;

    identifying a number of characteristic words comprised in the articles relating to the topic; and

    adjusting the training score in proportion to the number of the characteristic words; and

    favoring those topics with the higher training scores, wherein the topic models comprise at least one of fine-grained topic models and coarse-grained topic models;

    classifying the articles under the topics using the topic models;

    evaluating each of the topics in the social index for hotness, comprising;

    defining a plurality of time periods projected from the present;

    evaluating counts of the articles appearing under each time period;

    choosing the topics exhibiting a rising curve in the count of the articles that increases with recency during the time periods; and

    analyzing quality of the articles within the topics chosen; and

    presenting the topics comprised of the articles having acceptable quality,wherein the steps are performed on a suitably-programmed computer.

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