Social Web SearchFilippo Menczer
Leveraging online social behavior for collaborative Web search
Informatics and Computer Science
NaN:Networks & agents Network
http://homer.informatics.indiana.edu/~nan/
Outline
• Part 1: GiveALink.org
• Part 2: 6S
links
text
author social
Cue
s
Markup
news research
+ = σ★ ☆★★☆★ ☆☆
σA★ ☆☆★
σB
fun
FA(x) FA(y)
+ = σ(x,y)
FB(a(x,y))
!(x, y) =1
N
N!
u=1
2 log
"|Fu[a(x,y)]|
|Ru|
#
log|Fu(x)|
|Ru| + log|Fu(y)||Ru|
10-16
10-14
10-12
10-10
10-8
10-6
10-4
10-1
100
101
102
103
104
Fra
ctio
n o
f U
RL
s
Degree
smin = 0
smin = 0.0025
smin = 0.0055
Pr(k) !! exp(-0.002*k)
Pr(k) !! k-2
degree
UR
Ls
GoogleGaL
RelevantSet
UserStudy
c(x) =1
|U |!
y!U
"
#$1 + minx!y
!
(u,v)!x!y
%1
!(u, v)"1
&'
()
"1
pt+1(x) = (1 ! !) + ! ·∑
y"U
"(x, y) · pt(y)∑
z"U "(y, z)
Centrality&
Prestige
Ranking &
Recommendation by Novelty
!(x, y) =
!1 + min
z!U
"1
"(x, z)+
1
"(z, y)" 2
#$"1
"(x, y)
x
y
z
Personalization
!(x, A) = maxy!A
["(x, y) · log
(N
N(y)
)]
spam
collaborative filtering, social semantic similarity, unlinked pages, multimedia content, trust
scalability,
density
Questions?
Outline
• Part 1: GiveALink.org
• Part 2: 6S (next semester)
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