公开(公告)号：US20150220647A1

公开(公告)日：2015-08-06

申请号：US14554084

申请日：2014-11-26

Applicant: Santosh Kumar Gangwani

Inventor： Santosh Kumar Gangwani

IPC: G06F17/30

CPC classification number: G06F16/358 ,  G06F16/951

Abstract: Typical search engines include document snippets. There is no progression from a big picture view of search results to more detailed views. This invention creates a big picture view of search results in terms of cluster/category/topic/facet summaries/snippets. Cluster summary/snippet also has a few top ranking document snippets unlike other clustering search engines. Interactivity is provided for the user to see more/less results of each cluster/category/topic/facet. This helps in better understanding and navigation of search results. Can use traditional windows/rectangles for clusters/categories and sub-rectangles for documents. Alternatively can use a modified treemap. Each cluster with title becomes a parent in the treemap. Unlike traditional treemaps which show all children at a level, it shows a subset of children. A further alternative uses circles/balloons to represent clusters. Documents are shown as sub-circles. Clustering is also improved by additionally using ‘similar terms’ for clustering and getting cluster titles.

Abstract translation: 典型的搜索引擎包括文档片段。 没有从搜索结果的大图片视图到更详细的观点。 本发明根据群集/类别/主题/ facet摘要/片段创建搜索结果的大图。 与其他群集搜索引擎不同，群集摘要/片段也有一些顶级的文档片段。 提供交互性，以便用户查看每个集群/类别/主题/方面的更多/更少结果。 这有助于更好地理解和导航搜索结果。 可以将传统的窗口/矩形用于文档的群集/类别和子矩形。 或者可以使用修改的树形图。 每个具有标题的集群成为树形图中的父类。 不同于所有孩子在一个级别的传统的颤抖，它显示一个子女的子集。 另一个选择是使用圈子/气球来表示聚类。 文件显示为子圈。 还通过使用“类似术语”进行聚类和获取集群标题来改进聚类。