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Reciprocal Recommendation on Synthetic datasets n=75, m=50, e=log 10 independent trials

136.4Expected MatchesSW
68.69686.273103.85121.427Jan 20, 2026

Evaluation results

MethodLinks
SWlambda=0.02026.01136.420.50.9
NSWlambda=0.02026.011360.10
IterLPlambda=0.02026.01134.943.40
TUlambda=0.02026.0113348.64.5
Prodlambda=0.02026.01132.971.29.3
SWlambda=0.22026.0112126.81
NSWlambda=0.22026.01120.20.10
IterLPlambda=0.22026.01119.688.40
TUlambda=0.22026.01117.873.86.2
Prodlambda=0.22026.01116.6179.738.2
SWlambda=0.42026.01107.97014.4
IterLPlambda=0.42026.01105.6474.90
NSWlambda=0.42026.01105.60.20
TUlambda=0.42026.01104.1276.410.7
Prodlambda=0.42026.01100.5947.9391
SWlambda=0.62026.0197.6536201.6
IterLPlambda=0.62026.0193.51,113.10.1
NSWlambda=0.62026.0192.10.70
TUlambda=0.62026.0191.71,164.431.7
SWlambda=0.82026.0190.51,728.9735.7
Prodlambda=0.62026.0188.22,002.4887
IterLPlambda=0.82026.0184.81,556.90.2
IterLPlambda=1.02026.0181.42,01016
Prodlambda=0.82026.01812,597.91,149.9
TUlambda=0.82026.0180.42,175.7135.1
NSWlambda=0.82026.0179.62.10
Naivelambda=1.02026.0179.62,7011,176
Prodlambda=1.02026.0179.62,7011,176
TUlambda=1.02026.0179.62,7011,176
SWlambda=1.02026.0179.52,7011,176
Naivelambda=0.02026.0178.9892.9267.2
Naivelambda=0.82026.0175.32,7301,208.9
Naivelambda=0.22026.0174.71,639.1697.4
Naivelambda=0.62026.0173.12,571.31,139.3
Naivelambda=0.42026.0172.92,227.4985
NSWlambda=1.02026.0171.32.50