A Parallel Computing Method of Social Tag Cooccurrence Relation

Authors

Xiangqian Wang, School of Economics and Management, Anhui University of Science and Technology, Huainan 232001, P. R. China
Huizong Li
Yerong He

Author Country (or Countries)

P. R. China

Abstract

Cooccurrence relation extraction of abundant tags is very significant for information retrieve and tag recommendation. This paper presents a parallel extraction method of tag cooccurrence relation based on cloud computing. At last, two experiments show that the parallel extraction method can improve the performance of retrievals greatly and have good scalability. The research may play a role in the facilitative effect on the expanding application of social tagging system with abundant, multiplex, complex annotated data.

Suggested Reviewers

N/A

Recommended Citation

Wang, Xiangqian; Li, Huizong; and He, Yerong (2013) "A Parallel Computing Method of Social Tag Cooccurrence Relation," Applied Mathematics & Information Sciences: Vol. 07: Iss. 6, Article 48.
Available at: https://digitalcommons.aaru.edu.jo/amis/vol07/iss6/48