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    • 2. 发明申请
    • Content personalization based on actions performed during browsing sessions
    • 基于在浏览会话期间执行的操作的内容个性化
    • US20050102202A1
    • 2005-05-12
    • US11009732
    • 2004-12-10
    • Gregory LindenBrent SmithNida Zada
    • Gregory LindenBrent SmithNida Zada
    • G06Q30/02G06Q30/06G06F17/60G06F7/00
    • G06Q30/0631G06Q30/02G06Q30/0253G06Q30/0254G06Q30/0255G06Q30/0256G06Q30/0271G06Q30/0277G06Q30/0282G06Q30/0601G06Q30/0603G06Q30/0633G06Q30/0641Y10S707/99943
    • Various methods are disclosed for monitoring user browsing activities, and for using such information to provide item recommendations to users. In one embodiment, a monitoring component of a merchant's Web site maintains a record of products viewed by each user during a current browsing session—preferably based on visits to product detail pages. A recommendations component uses the resulting history of viewed products to identify additional products to recommend, preferably using a pre-existing table that maps products to related products. In one embodiment, this table is generated by periodically analyzing user browsing histories to identify correlations between purchases, viewing events, and/or other actions performed with respect to particular products. The recommended items may be displayed together with an option to individually deselect the recently viewed items on which the recommendations are based. Embodiments are also disclosed that use recent browse node visits, and recent searches, to generate the recommendations.
    • 公开了各种用于监视用户浏览活动的方法,以及使用这些信息向用户提供项目建议。 在一个实施例中,商家网站的监视组件在当前浏览会话期间维护由每个用户观看的产品的记录,优选地基于对产品详细信息页的访问。 建议组件使用所查看产品的结果历史来识别要推荐的其他产品,优选使用将产品映射到相关产品的预先存在的表。 在一个实施例中,通过周期性地分析用户浏览历史以识别购买,观看事件和/或针对特定产品执行的其他动作之间的相关性来生成该表。 推荐的项目可以与选项一起显示,以单独取消选择最近查看的推荐项目。 还公开了使用最近的浏览节点访问和最近的搜索来生成建议的实施例。