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SEARCH ENGINE WITH SEARCH TASK MODEL AND INTERACTIVE SEARCH TASK-REFINEMENT PROCESS

机译:具有搜索任务模型和交互式搜索任务改进过程的搜索引擎

摘要

A search engine provides an intelligent assistant that accepts a task model definition for each search that can be compared to a result of the search and used to refine the search either by requesting additional input or automatically. The general approach of a task model is to determine either directly or passively, whether the search results are a good match for what the user is seeking. This way the system has something to compare to the search results the user retrieves. As is well known, much frustration can attend the process of doing research of complex data sets. The above provides a mechanism for allowing a user to specify information, or for the system to infer information, that can be compared to a search result or used to refine a search before it is done. As shown, this can be used as a basis for an intelligent assistant that gives the user opportunities to refine his search by offering alternative search terms.
机译:搜索引擎提供了一个智能助手,该助手可以接受每个搜索的任务模型定义,可以将其与搜索结果进行比较,并可以通过请求其他输入或自动优化搜索条件。任务模型的一般方法是直接或被动确定搜索结果是否与用户正在寻找的内容相匹配。这样,系统就可以与用户检索到的搜索结果进行比较。众所周知,进行复杂数据集的研究会带来很多挫败感。上面提供了一种机制,该机制用于允许用户指定信息,或者让系统推断信息,这些信息可以与搜索结果进行比较,或者用于在搜索完成之前优化搜索。如图所示,这可以用作智能助手的基础,该智能助手为用户提供了通过提供替代搜索词来优化其搜索的机会。

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