DocumentCode
2547556
Title
A user survey on search ranking algorithm for social networking sites
Author
Lee, Khuan Yew ; Hong, Jer Lang
Author_Institution
Sch. of Comput. & IT, Taylor´´s Univ., Subang Jaya, Malaysia
fYear
2012
fDate
29-31 May 2012
Firstpage
995
Lastpage
999
Abstract
Social networks need to manage and control the drift of insane amount of information by filtering and ranking everything in order to ensure they are right there for users´ viewing pleasure. However, the realization of social networks ranking is currently dictated by fairly straightforward optimization algorithms. Hence, there is a need for a newly enhanced and improved ranking algorithm to be formulated since users have been occasionally seeing what they should not. In this paper, we conduct a user survey to gain a deeper insight on user needs for ranking algorithm. The outcome of the user survey is useful for the development of accurate and efficient ranking algorithm.
Keywords
information filtering; information retrieval; optimisation; social networking (online); fairly straightforward optimization algorithms; information filtering; search ranking algorithm; social networking sites; Algorithm design and analysis; Collaboration; Educational institutions; Facebook; Feeds; Filtering; Search Ranking; Social Network; User Survey;
fLanguage
English
Publisher
ieee
Conference_Titel
Fuzzy Systems and Knowledge Discovery (FSKD), 2012 9th International Conference on
Conference_Location
Sichuan
Print_ISBN
978-1-4673-0025-4
Type
conf
DOI
10.1109/FSKD.2012.6234068
Filename
6234068
Link To Document