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Extracting Relations among Search Properties Based on the Operational Context of Geographical Information Retrieval Systems

机译:基于地理信息检索系统操作上下文的搜索属性之间的关系提取

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During searches for suitable objects with geographical information retrieval systems, users can select various search properties such as the region, category, price, distance, and rating. We assumed that there would be implicit connections among the properties in the search operations adopted by users. For example, if a user wants to go a bar, they might search for a bar by changing the rating property to "high" and changing the price property to "moderate." If the user wants to go a bar again, however, they might search for a bar by changing the rating property to "moderate" and changing the price property to "low." Thus, the price property and rating property are connected by the context when searching for the "bar" category. We consider that the connected properties may differ according to the operational context. In this paper, we propose a method for extracting connected properties based on the operation history of user. We also describe an automatic adjustment function based on the connected properties extracted.
机译:在使用地理信息检索系统搜索合适的对象期间,用户可以选择各种搜索属性,例如区域,类别,价格,距离和等级。我们假设用户采用的搜索操作中的属性之间将存在隐式连接。例如,如果用户想去一个酒吧,他们可以通过将等级属性更改为“高”并将价格属性更改为“中等”来搜索酒吧。但是,如果用户希望再次移动一个小节,则可以通过将等级属性更改为“中等”并将价格属性更改为“低”来搜索小节。因此,当搜索“条形图”类别时,价格属性和评级属性通过上下文连接。我们认为,所连接的属性可能会根据操作环境而有所不同。本文提出了一种基于用户操作历史的关联属性提取方法。我们还将描述基于提取的连接属性的自动调整功能。

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