JOURNAL BROWSE
Search
Advanced SearchSearch Tips
Associated Keyword Recommendation System for Keyword-based Blog Marketing
facebook(new window)  Pirnt(new window) E-mail(new window) Excel Download
 Title & Authors
Associated Keyword Recommendation System for Keyword-based Blog Marketing
Choi, Sung-Ja; Son, Min-Young; Kim, Young-Hak;
 
 Abstract
Recently, the influence of SNS and online media is rapidly growing with a consequent increase in the interest of marketing using these tools. Blog marketing can increase the ripple effect and information delivery in marketing at low cost by prioritizing keyword search results of influential portal sites. However, because of the tough competition to gain top ranking of search results of specific keywords, long-term and proactive efforts are needed. Therefore, we propose a new method that recommends associated keyword groups with the possibility of higher exposure of the blog. The proposed method first collects the documents of blog including search results of target keyword, and extracts and filters keyword with higher association considering the frequency and location information of the word. Next, each associated keyword is compared to target keyword, and then associated keyword group with the possibility of higher exposure is recommended considering the information such as their association, search amount of associated keyword per month, the number of blogs including in search result, and average writhing date of blogs. The experiment result shows that the proposed method recommends keyword group with higher association.
 Keywords
associated keyword;blog marketing;TF-IDF;keyword expansion;
 Language
Korean
 Cited by
 References
1.
I. Kim and H.-G. Ji, "The Factors Affecting on the Usage of Organizational Blog : The Perspective of the Organizational Blog Type," Journal of Information Technology Applications & Management, Vol. 18, No. 2, pp. 61-89. Jun. 2011.

2.
H. Yun, S.-H. Ahn, and C. C. Lee, "Determinants of Trust in Power Blogs and Their Effect on Purchase Intention," International Journal of Contents, Vol. 12, No. 2, pp. 411-419. Feb. 2012.

3.
J. K. Kim, H. K. Kim, and S. Y. Park, "A Study on Blog users' Response to Blog Marketing," Information Systems Review, Vol. 11, No. 3, pp. 1-17, Sep. 2004.

4.
F. Ko and N. Tanimoto, "The eigenrumor algorithm for calculating contributions in cyberspace communities," Trusting Agents for Trusting Electronic Societies, Springer Berlin Heidelberg, pp. 59-74. 2005.

5.
S.-A. Kim, H.-S. Jho, and H. A. Lee, "Automatic Classification of Blog Posts using Various Term Weighting," Journal of the Korean Society of Marine Engineering, Vol. 39, No. 1, pp. 58-62. 2015. crossref(new window)

6.
Haveliwala and H. Taher, "Topic-sensitive pagerank: A context-sensitive ranking algorithm for web search," Knowledge and Data Engineering, IEEE Transactions on, Vol. 15, No. 4, pp. 784-796, 2003. crossref(new window)

7.
N. Agarwal, H. Liu, L. Tang, and P. S. Yu, "Identifying the influential bloggers in a community," Proc. of the 2008 international conference on web search and data mining. ACM, pp. 207-218, 2008.

8.
A. Kritikopoulos, M. Sideri, and I. Varlamis, "Blog-Rank: ranking weblogs based on connectivity and similarity features," Proc. of the 2nd international workshop on Advanced architectures and algorithms for internet delivery and applications. ACM, pp. 8, Oct. 2006.

9.
M. A. Tayebi, S. M. Hashemi, and A. Mohades, "B2Rank: An algorithm for ranking blogs based on behavioral features," Web Intelligence, IEEE/WIC/ACM International Conference on. IEEE, pp. 104-107, 2007.

10.
W. S. Hwang, Y. J. Do, D. H. Bae, and S. W. Kim, "Post Ranking Algorithms in Blog Environment," Korea Computer Congress, Vol. 35, No. 1, pp. 189-193. 2008.

11.
S. Lee and S. Lee, "A Related Keyword Group Extraction Method for Keyword Marketing," Korea Computer Congress, Vol. 31, No. 2, pp. 124-126. 2004.

12.
T. Joachims, A Probabilistic Analysis of the Rocchio Algorithm with TFIDF for Text Categorization. No. CMU-CS-96-118. CARNEGIE-MELLON UNIV PITTSBURGH PA DEPT OF COMPUTER SCIENCE, 1996.

13.
J.-M. Kim, J.-D. kim, and D.-K. Baik, "Design and Implementation of an Auto Tagging System in Blogosphere," Korea Computer Congress, Vol. 36, No. 2, pp. 19-23. 2009.