公开(公告)号：US06338066B1

公开(公告)日：2002-01-08

申请号：US09160828

申请日：1998-09-25

申请人： David Charles Martin ,  Hansel Joseph Miranda ,  Mark Paul Plutowski ,  William Scott Spangler ,  Shivakumar Vaithyanathan ,  Kevin Wheeler ,  David Hilton Wolpert

发明人： David Charles Martin ,  Hansel Joseph Miranda ,  Mark Paul Plutowski ,  William Scott Spangler ,  Shivakumar Vaithyanathan ,  Kevin Wheeler ,  David Hilton Wolpert

IPC分类号： G06F15163

CPC分类号： G06Q30/02 ,  G06F17/3089 ,  Y10S707/99935 ,  Y10S707/99936 ,  Y10S707/99943

摘要： Given a log of previous web-surfer behavior listing the order in which each surfer downloaded specific items at the web site, and given a meaningful classification of those same items, future surfer behavior is predicted by the present invention. The algorithm utilizes a quantitative model relating items downloaded prior to some specified event to items downloaded after that same event. When the model is applied to a new surfer's session prior to an analogous event, the present invention predicts the likely behavior of the surfer subsequent to that event. The predicted behavior is then further analyzed to derive a quantitative value for the utility of the expected behavior. By randomly selecting sample sessions from a web log, multiple models of surfer behavior can be generated. The multiple models can then be applied to a new surfer's session to produce a predicted behavior/utility distribution and thus a confidence interval for the predicted behavior/utility.

摘要翻译： 给出以前的网络冲浪者行为的日志，列出每个冲浪者在网站上下载特定项目的顺序，并给出对这些相同项目的有意义的分类，本发明预测未来的冲浪者行为。 该算法使用定量模型，将与某个指定事件之前下载的项目相关联的项目与相同事件之后下载的项目相关联。 当模型在类似事件之前应用于新的冲浪者的会话时，本发明预测该事件之后的冲浪者的可能行为。 然后进一步分析预测行为，以获得预期行为效用的定量值。通过从Web日志中随机选择样本会话，可以生成多种冲突行为模型。 然后可以将多个模型应用于新的冲浪者会话，以产生预测的行为/效用分布，并因此产生预测行为/效用的置信区间。