GPU accelerated hot term extraction from user generated content

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

doi:10.1109/WAINA.2012.147

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 proceeding › Conference article published in proceeding or book › Academic research › peer-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 language	English
Title of host publication	Proceedings - 26th IEEE International Conference on Advanced Information Networking and Applications Workshops, WAINA 2012
Pages	851-856
Number of pages	6
DOIs	https://doi.org/10.1109/WAINA.2012.147
Publication status	Published - 14 May 2012
Event	26th IEEE International Conference on Advanced Information Networking and Applications Workshops, WAINA 2012 - Fukuoka, Japan Duration: 26 Mar 2012 → 29 Mar 2012

Conference

Conference	26th IEEE International Conference on Advanced Information Networking and Applications Workshops, WAINA 2012
Country/Territory	Japan
City	Fukuoka
Period	26/03/12 → 29/03/12

Keywords

GPU
hot term extraction

ASJC Scopus subject areas

Computer Science Applications
Information Systems

More information

10.1109/WAINA.2012.147

Cite this

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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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author = "Cheng, {Ming Fung} and Chung, {Fu Lai Korris} and Chuang, {Siu Nam}",

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doi = "10.1109/WAINA.2012.147",

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Cheng, MF, Chung, FLK & Chuang, SN 2012, GPU accelerated hot term extraction from user generated content. in Proceedings - 26th IEEE International Conference on Advanced Information Networking and Applications Workshops, WAINA 2012., 6185501, pp. 851-856, 26th IEEE International Conference on Advanced Information Networking and Applications Workshops, WAINA 2012, Fukuoka, Japan, 26/03/12. https://doi.org/10.1109/WAINA.2012.147

GPU accelerated hot term extraction from user generated content. / Cheng, Ming Fung; Chung, Fu Lai Korris; Chuang, Siu Nam.
Proceedings - 26th IEEE International Conference on Advanced Information Networking and Applications Workshops, WAINA 2012. 2012. p. 851-856 6185501.

Research output: Chapter in book / Conference proceeding › Conference article published in proceeding or book › Academic research › peer-review

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ER -

GPU accelerated hot term extraction from user generated content

Abstract

Conference

Keywords

ASJC Scopus subject areas

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