offdefnt {raincin} | R Documentation |
Kleinberg's HITS algorithm for Rating and Ranking with Rectangular Matrix
Description
Calculate ratings and provide rankings using Kleinberg's HITS algorithm, using a rectangular matrix for score matrix (judege-presenter)
Usage
offdefnt(
jpMat,
method = "hitsjp",
totalsupporteps = 0,
numiter = 100,
ties.method = "average"
)
Arguments
jpMat |
a Judge-Presenter matrix, or a User-Movie matrix |
method |
a character string specifying the HITS algorithm, including "hitsjp". |
totalsupporteps |
a small number to guarantee the total support property |
numiter |
a number of iterations |
ties.method |
a character string specifying how ties are treated, including "average", "first", "last", "random", "max", "min", from base::rank |
Details
movie i is good and deserves a high rating mi if it gets high ratings from good (discriminating ) users. Similarly, user j is good and serves a high rating hj when his or her ratings match the true ratings of the movies.
-
hitsjp
: HITS, using judge-presenter matrix, equivalent tooffdefsc
-
offdefnt
: Offense-Defense rating method, using judge-presenter matrix
Author(s)
Jiangtao Gou
References
Gou, J. and Wu, S. (2020). A Judging System for Project Showcase: Rating and Ranking with Incomplete Information. Technical Report.
Kleinberg, J. M. (1999). Authoritative sources in a hyperlinked environment. Journal of the ACM 46, 604-632.
Langville, A. N. and Meyer, C. D. (2012). Who's Number 1?: The Science of Rating and Ranking. Princeton University Press.
Examples
jpMat <- matrix(data=c(5,4,3,0, 5,5,3,1, 0,0,0,5, 0,0,2,0, 4,0,0,3, 1,0,0,4),nrow=6,byrow=TRUE)
method <- 'hitsjp'
totalsupporteps <- 0.01
numiter <- 10
ties.method <-'average'
result <- offdefnt(jpMat, method, totalsupporteps, numiter, ties.method)
print(result)