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METHODS AND APPARATUS FOR QUERY REFINEMENT USING GENETIC ALGORITHMS

机译:利用遗传算法进行查询优化的方法和装置

摘要

In one example, a user is presented with information (e.g., the results of a search provided by a search component executing a search query). The user then subjectively evaluates the information presented pursuant to some metric (e.g., desirable/positive, undesirable/negative, neutral) to provide user feedback. The user feedback is evaluated using one or more evolutionary algorithms to generate a new search query, which may be executed by any one of a number of conventional search components (or a commercial or non-commercial website powered by a search component) to provide new information to the user. The foregoing process may be iterated any number of times, for example, until a user identifies desirable information. In some implementations, additional user interaction is permitted, such as modification of one or more descriptors/characteristics associated with presented information, and/or modification of a search query generated by the evolutionary algorithm(s).
机译:在一个示例中,向用户呈现信息(例如,由执行搜索查询的搜索组件提供的搜索结果)。然后,用户主观地根据某种度量(例如,期望/正,不期望/负,中性)评估所呈现的信息以提供用户反馈。使用一种或多种进化算法评估用户反馈以生成新的搜索查询,该查询可以由许多常规搜索组件(或由搜索组件提供动力的商业或非商业网站)中的任何一个执行以提供新的给用户的信息。例如,可以重复上述过程任何次数,直到用户识别出所需的信息为止。在一些实施方式中,允许附加的用户交互,诸如与呈现的信息相关联的一个或多个描述符/特性的修改,和/或由(一个或多个)进化算法生成的搜索查询的修改。

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