This talk will look at how a trust model running on device A determines the extent to which A should initially trust device B in a given context (content category). It does so by considering two cases: in the first, A does not know B at all; in the second case, A knows B but in contexts other than that of interest. For each of those two cases, this talk will discuss the most recent proposal that improves on existing solutions (TRULLO and distributed propagation), and will also attempt to suggest new research directions (such as private collaborative filtering - post & more).

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 @

4. what I research?

5. Reputation Systems for Mobiles

6. What’s that?

7. Example: antique markets

8. Problem: Visitors cannot see 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 decides whether 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

19. Daniele Quercia Two cases: B is 1. unknown 2. partly known

27. Daniele Quercia Popular way: Inter-context Lifting  Greek Coins Roman Coins Coins Chairs Antiques

36. Daniele Quercia

42. Daniele Quercia Further Research (join mobblog !)