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Refinement shape content search

机译:细化形状内容搜索

摘要

Visual incongruity in search result sets may be reduced at least in part by searching an optimized visually significant subset of a category tree that categorizes a collection of content. The category tree may be optimized at build time at least in part by pruning with respect to visual coherence and by the size of the content collection subset referenced by particular categories. Content collection subset sizes both too large and too small can detract from the visual significance of a particular category. The visually significant subset of the category tree may be further optimized at query time by intersecting the visually significant subset with the query-associated sub-tree(s) and further pruning categories in the visually significant subset that have child categories in the visually significant subset. Searching with respect to the optimized visually significant subset can also improve search efficiency.
机译:可以至少部分地通过搜索对内容的集合进行分类的类别树的优化的视觉上重要的子集来减少搜索结果集中的视觉不一致。可以在构建时至少部分地通过修剪视觉连贯性以及通过特定类别引用的内容集合子集的大小来优化类别树。内容收集子集的大小太大和太小都会损害特定类别的视觉意义。类别树的视觉上重要子集可以在查询时进一步优化,方法是将视觉上重要的子集与与查询相关的子树相交,并进一步修剪视觉上重要子集中具有子类别的视觉上重要子集中的类别。关于优化的视觉上重要的子集的搜索也可以提高搜索效率。

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