Inter-Context Trust Bootstrapping for Mobile Content Sharing (daniele quercia) (stephen hailes - PowerPoint PPT Presentation

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Inter-Context Trust Bootstrapping for Mobile Content Sharing (daniele quercia) (stephen hailes

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Find function: same ratings for rated nodes similar ratings for neighbours Daniele Quercia Tested on real data (Advogato: 55K user ratings) ... – PowerPoint PPT presentation

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Title: Inter-Context Trust Bootstrapping for Mobile Content Sharing (daniele quercia) (stephen hailes


1
Inter-Context Trust Bootstrapping for Mobile
Content Sharing(daniele quercia)(stephen
hailes licia capra)
U C L
2
What do I do?
3
Research _at_
4
what I research?
5
Reputation Systems for Mobiles
6
Whats that?
7
Exampleantique markets
8
Problem Visitors cannotsee prices of everything!
9
Solution Sellers disseminate e-ads, and
visitors collect them
10
Problem Sellers may disseminate irrelevant ads

11
Proposal
12
They may keep track of which sellers send
irrelevant ads
13
Daniele Quercia
Trust model on A how A decideswhether to rely
on B to visit a stall
14
Daniele Quercia
To decide whether to rely on B, A has to set its
initial trust in B
15
Daniele Quercia
3 Existing Solutions
16
Daniele Quercia
1. Fixed values (? over-simplified)
17
Daniele Quercia
2. Recommendations (? fake ones)
18
3. Similar contexts (? universal ontology)
Daniele Quercia
19
Daniele Quercia
Two cases B is 1. unknown 2. partly known
20
Daniele Quercia
1. B is unknown
21
Daniele Quercia
Popular way Trust propagation
(transitivity)
C
?
A
B
22
Daniele Quercia
  • Meant for the Web
  • Proved on binary ratings

23
  • Algorithm rating
  • unrated trust relationships (needed)

Daniele Quercia
C
1
2
?
A
B
24
  • Idea
  • 1. Similar nodes together
  • 2. Find function
  • same ratings for rated nodes
  • similar ratings for neighbours

25
Daniele Quercia
Tested on real data (Advogato gt 55K user
ratings)
26
Daniele Quercia
2. B is partly known
27
Daniele Quercia
Popular way Inter-context Lifting ?
Antiques
Coins
Chairs
Roman Coins
Greek Coins
28
Daniele Quercia
Idea Users gt Dont share ontology gt Extract
features from their own ratings
29
Daniele Quercia
Idea Users gt Dont share ontology gt Extract
features from their own ratings
30
Daniele Quercia
How to extract?
31
Daniele Quercia
Singular Value Decomposition
32
Daniele Quercia
Beauty features not user-specified BUT learnt
33
Tested on simulation with real parameters
Daniele Quercia
34
Daniele Quercia
Tested on Nokia 3230 Max 3.2 ms !
35
Daniele Quercia
What Ive told you is on mobblog UCL (google
it) under tag bootstrapping
36
Daniele Quercia
37
Daniele Quercia
And User Privacy?
38
Daniele Quercia
Private filtering (Google for mobblog private
filtering)
39
Daniele Quercia
And Resource Discovery?
40
Daniele Quercia
Folksonomy for mobiles ?
41
Daniele Quercia
And Attacks?
42
Daniele Quercia
Further Research (join mobblog !)
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