Adapting a search classifier based on user queries
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    发明申请
    Adapting a search classifier based on user queries 审中-公开
    根据用户查询调整搜索分类器

    公开(公告)号:US20070276818A1

    公开(公告)日:2007-11-29

    申请号:US11830375

    申请日:2007-07-30

    IPC分类号: G06F17/30

    摘要: Multiple different user queries are applied to an automated classifier to identify multiple tasks. For each query, a task is provided to a user. A task selected by the user is logged and a mapping between each query and each selected task is generated. Fewer than all of the mappings are used to train a new classifier, wherein selecting fewer than all of the mappings to train the new classifier comprises selecting mappings based on when the mappings were generated. The new classifier is stored on a computer-readable storage medium.

    摘要翻译: 将多个不同的用户查询应用于自动分类器以识别多个任务。 对于每个查询,向用户提供任务。 记录用户选择的任务,并生成每个查询和每个选定任务之间的映射。 比所有的映射少于训练新的分类器,其中选择少于全部映射来训练新的分类器包括基于何时生成映射来选择映射。 新的分类器存储在计算机可读存储介质上。