Topic Sensitive_Social Relation Rank Algorithm for Efficient Social Search 


Vol. 38,  No. 5, pp. 385-393, May  2013


PDF
  Abstract

In the past decade, a paradigm shift from machine-centered to human-centered and from technology-driven to user-driven has been witnessed. Consequently, Social search is getting more social and Social Network Service (SNS) is a popular Web service to connect and/or find friends, and the tendency of users interests often affects his/her who have similar interests. If we can track users’ preferences in certain boundaries in terms of Web search and/or knowledge sharing, we can find more relevant information for users. In this paper, we propose a novel Topic Sensitive_Social Relationship Rank (TS_SRR) algorithm. We propose enhanced Web searching idea by finding similar and credible users in a Social Network incorporating social information in Web search. The Social Relation Rank between users are Social Relation Value, that is, for a different topics, a different subset of the above attributes is used to measure the Social Relation Rank. We observe that a user has a certain common interest with his/her credible friends in a Social Network, then focus on the problem of identifying users who have similar interests and high credibility, and sharing their search experiences. Thus, the proposed algorithm can make social search improve one step forward.

  Statistics
Cumulative Counts from November, 2022
Multiple requests among the same browser session are counted as one view. If you mouse over a chart, the values of data points will be shown.


  Cite this article

[IEEE Style]

Y. Kim and G. Park, "Topic Sensitive_Social Relation Rank Algorithm for Efficient Social Search," The Journal of Korean Institute of Communications and Information Sciences, vol. 38, no. 5, pp. 385-393, 2013. DOI: .

[ACM Style]

Young-an Kim and Gun-woo Park. 2013. Topic Sensitive_Social Relation Rank Algorithm for Efficient Social Search. The Journal of Korean Institute of Communications and Information Sciences, 38, 5, (2013), 385-393. DOI: .

[KICS Style]

Young-an Kim and Gun-woo Park, "Topic Sensitive_Social Relation Rank Algorithm for Efficient Social Search," The Journal of Korean Institute of Communications and Information Sciences, vol. 38, no. 5, pp. 385-393, 5. 2013.

Search
(IN TITLE, AUTHOR, ABSTRACT,KEYWORDS)

Advanced Search ▼

POPULAR KEYWORDS
(TOP 10 KEYWORDS)

Recent Publications
(LAST 3 YEARS)






pISSN : 1226 - 4717
eISSN : 2287 - 3880