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To identify the usage of clustering techniques for improving search result of a website

机译:确定使用聚类技术改善网站搜索结果的方法

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Clustering has drawn much attention to research community due to its advantages and wide applications. However, clustering is a challenging problem, as many factors play a significant role. The same algorithm may generate different output if there is a change in parameters, presentation order or similarity measure. The search option is used excessively on almost every website. Grouping the search results in various folders will improve web browsing and that can be achieved by applying clustering over results. Clustering web elements facilitate data analysis in various ways. In this paper, we present well-known clustering algorithms and identify their different usages for the web elements. The paper discusses some significant work conducted in this field.
机译:集群技术由于其优势和广泛的应用而备受研究界的关注。但是,聚类是一个具有挑战性的问题,因为许多因素起着重要作用。如果参数,显示顺序或相似性度量发生变化,则相同的算法可能会产生不同的输出。几乎每个网站上都过度使用了搜索选项。将搜索结果分组到各个文件夹中将改善Web浏览,这可以通过在结果上应用聚类来实现。对Web元素进行群集可通过各种方式促进数据分析。在本文中,我们提出了众所周知的聚类算法,并确定了它们对Web元素的不同用法。本文讨论了在该领域进行的一些重要工作。

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