GPU Accelerated Hot Term Extraction from User Generated Content

Ming Cheng, K. F. Chung, S. Chuang
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引用次数: 1

Abstract

In this paper, a GPU based hot term extraction algorithm is presented. Graphics Processing Units (GPUs) is designed for data-parallel computations. Comparing to running a single program with multiple data in CPU, GPU can have faster execution. The hot term is defined as a word that appears frequently in the search result. We assume that the greater the frequency of appearance of a term, the more the relevancy of the term to the users. As there are lots of terms in the searched results from user generated content (UGC), processing them is time-consuming. The proposed GPU based hot term extraction algorithm can achieve a fast performance and works well in real-time applications.
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GPU加速用户生成内容的热词提取
本文提出了一种基于GPU的热词提取算法。图形处理单元(gpu)是为数据并行计算而设计的。相对于在CPU中运行具有多个数据的单个程序,GPU具有更快的执行速度。热门词是指在搜索结果中频繁出现的词。我们假设一个词出现的频率越高,这个词与用户的相关性就越高。由于搜索结果中有大量来自用户生成内容(UGC)的术语,处理它们非常耗时。本文提出的基于GPU的热词提取算法性能快速,在实时应用中效果良好。
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