Ein Vortrag von Maximilian Schmidbauer aus dem Hauptseminar "Personalisierung mit großen Daten".

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http://de.wikipedia.org/wiki/Robustheit, 1.12.2013

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Burke, Mahony, Hurley, Robust Collaborative Recommendation

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http://www.enzyklopaedie-der-wirtschaftsinformatik.de, 1.12.2013

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http://www.enzyklopaedie-der-wirtschaftsinformatik.de, 1.12.2013

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Williams, Mobasher, Burke, Defending Recommender Systems: Detection of Profile Injection Attacks, 2007

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25. 1,80
1,60
1,40
1,20
1,00
0,80
0,60
0,40
0,20
0,00
Random Attack
Bandwagon Attack
Average Attack
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Burke, Mahony, Hurley, Robust Collaborative Recommendation

26. 0,90
0,80
0,70
0,60
0,50
0,40
0,30
0,20
0,10
0,00
All-Users
Segment Attack
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Burke, Mahony, Hurley, Robust Collaborative Recommendation

27. 0,00
-0,50
Reverse
Bandwagon
Average
Attack
Random
Attack
Bandwagon Love/Hate
Attack
Attack
-1,00
-1,50
-2,00
-2,50
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Burke, Mahony, Hurley, Robust Collaborative Recommendation

28. 0,10
0,00
-0,10
-0,20
-0,30
-0,40
-0,50
-0,60
-0,70
-0,80
Reverse
Bandwagon
Average
Attack
Random
Attack
Bandwagon Love/Hate
Attack
Attack
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Burke, Mahony, Hurley, Robust Collaborative Recommendation

29. 80%
70%
60%
50%
40%
30%
20%
10%
0%
Average Attack
Probe Attack
Popular Attack
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Burke, Mahony, Hurley, Robust Collaborative Recommendation

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Williams, Mobasher, Burke, Defending Recommender Systems: Detection of Profile Injection Attacks, 2007

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