DocumentCode :
2547565
Title :
ELITE — A novel 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 :
1009
Lastpage :
1013
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. A composition of a generic score and a collective score that would equate to a whopping new-fangled algorithm called E.L.I.T.E. which comprises of five essential elements - Engagement-U, Lifetime, Impression, Timeframe and Engagement-O in ensuring a more accurate result for users to see more of what they care about, less of what they do not and more of who they are interested in, less of who they are not.
Keywords :
information filtering; social networking (online); ELITE; Engagement-O elements; Engagement-U elements; collective score; drift control; drift management; generic score; impression elements; information filtering; lifetime elements; ranking algorithm; social networking sites; social networks ranking; straightforward optimization algorithms; timeframe elements; whopping new-fangled algorithm; Data mining; Facebook; Feeds; Time measurement; Videos; Weight measurement; Search Ranking; Social Network;
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.2012.6234069
Filename :
6234069
Link To Document :
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