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 :
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