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COMPUTATION OF TOP-K PAIRWISE CO-OCCURRENCE STATISTICS

机译:TOP-K对偶同频统计的计算

摘要

Various technologies described herein pertain to computing top-K pairwise co-occurrence statistics using an upper bounding heuristic. Upper bound values of a co-occurrence statistic for items in a set can be computed based on a query item, and items can be sorted into an order. The items and the query item are represented by respective portions of a tensor. An item from the order associated with a highest upper bound value can be selected, an actual value of the co-occurrence statistic can be computed for the selected item, the upper bound value for the selected item can be replaced with the actual value for the selected item, and the selected item can be repositioned in the order. When the top-K items in the order lack an item associated with an upper bound value, the top-K items and actual values of the co-occurrence statistic for the top-K items can be outputted.
机译:本文描述的各种技术涉及使用上限启发式算法来计算top-K成对共现统计。可以基于查询项目计算集合中项目的共现统计量的上限值,并且可以将项目分类为一个顺序。这些项目和查询项目由张量的相应部分表示。可以从与最高上限值关联的顺序中选择一个项目,可以为所选项目计算同现统计的实际值,可以将所选项目的上限值替换为该项目的实际值。选定的项目,然后可以按顺序重新放置选定的项目。当订单中的前K个项目缺少与上限值相关联的项目时,可以输出前K个项目和前K个项目的同时出现统计的实际值。

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