GPU accelerated hot term extraction from user generated content

Ming Fung Cheng, Fu Lai Korris Chung, Siu Nam Chuang

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

1 Citation (Scopus)

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.
Original languageEnglish
Title of host publicationProceedings - 26th IEEE International Conference on Advanced Information Networking and Applications Workshops, WAINA 2012
Pages851-856
Number of pages6
DOIs
Publication statusPublished - 14 May 2012
Event26th IEEE International Conference on Advanced Information Networking and Applications Workshops, WAINA 2012 - Fukuoka, Japan
Duration: 26 Mar 201229 Mar 2012

Conference

Conference26th IEEE International Conference on Advanced Information Networking and Applications Workshops, WAINA 2012
Country/TerritoryJapan
CityFukuoka
Period26/03/1229/03/12

Keywords

  • GPU
  • hot term extraction

ASJC Scopus subject areas

  • Computer Science Applications
  • Information Systems

Cite this