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Automated detection of associations between search criteria and item categories based on collective analysis of user activity data

机译:基于对用户活动数据的集体分析,自动检测搜索条件与商品类别之间的关联

摘要

A web site or other database access system provides access to a database in which items are arranged within item categories, such as browse categories of a hierarchical browse tree. Actions of users of the system are monitored and recorded to generate user activity data reflective of searches, item selection actions, and possibly other types of actions. A correlation analysis component collectively analyses the user activity to automatically identify associations between specific search criteria, such as specific search strings, and specific item categories. The results of the analysis are stored in a mapping table that is used to suggest specific item categories on search results pages.
机译:网站或其他数据库访问系统提供对数据库的访问,在该数据库中,项目被安排在项目类别内,例如分层浏览树的浏览类别。监视并记录系统用户的动作以生成反映搜索,项目选择动作以及可能的其他类型的动作的用户活动数据。相关性分析组件共同分析用户活动,以自动识别特定搜索条件(例如特定搜索字符串)和特定项目类别之间的关联。分析结果存储在映射表中,该表用于建议搜索结果页面上的特定项目类别。

著录项

  • 公开/公告号US2005222987A1

    专利类型

  • 公开/公告日2005-10-06

    原文格式PDF

  • 申请/专利权人 ERIC R. VADON;

    申请/专利号US20040817554

  • 发明设计人 ERIC R. VADON;

    申请日2004-04-02

  • 分类号G06F7/00;

  • 国家 US

  • 入库时间 2022-08-21 22:21:45

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