Presentation at the SF-COST High-Level Research Conference on Networked Humanities

1. Is a personal network
better than Google?
Social networks as collaborative filter to find relevant
information
Patrick Danowski
IST Austria

2. Outline
• The problem
• An idea
• 4 solutions
• Sum-up

3. The problem

4. What we are looking 4

6. Found 10/10
0 additional result

7. 100 % Complete
100 % Relevance

8. Google

12. Found 9/10
990 additional result

13. 90 % Complete
1 % Relevance

14. Database

16. Found 5/10
90 additional result

17. 50 % Complete
10 % Relevance

18. Problem
Optimization of the relationship between
Precision and Completeness

19. An idea

20. The Ingredients

21. Tags

23. social networks

24. CC-BY
DarwinPeacock
http://commons.wikimedia.org/wiki/File:Sna_large.png

28. Social Search

29. Looking for
informations inside of
your network

31. Found 6/10
10 addition result

32. 60 % Complete
50 % Relevance

33. Precision Recall
Google 1 % 90 %
Database 10 % 50 %
Social Search 50 % 60 %

34. Social Filters in practice

35. 4 Solutions
• Tagging
• Recommender Systems
• Social Search
• Lazyweb

36. Tagging

37. delicious

40. Bibsonomy

42. Recommender Systems

43. Users who bought A bought also B

44. Mandeley
• Citation Management Software
• support different Methods of Social
Filtering

48. Social Search

49. http://www.sharetivity.com/movie.html
http://www.sharetivity.com/movie.html

50. Social Search
• Integration of your shared sources
(facebook, twitter, myspace ... )
• Integration of resources of your friends
• Whats your friends find interesting is
higher ranked

51. Lazyweb

52. Old Method, new Tools
Ask your friends

53. On
Facebook & Twitter

56. So Problem solved?

57. no :-(

58. new strength

59. new weaknesses

60. no answer for
everything

61. additional strategies

62. Go social,
explore the potential
patrick.danowski@ist.ac.at