Robustheit in Empfehlungssystemen
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18-Oct-2014 -
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Ein Vortrag von Maximilian Schmidbauer aus dem Hauptseminar "Personalisierung mit großen Daten".
Transcript of Robustheit in Empfehlungssystemen
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8 Burke, Mahony, Hurley, Robust Collaborative Recommendation
9 http://www.enzyklopaedie-der-wirtschaftsinformatik.de, 1.12.2013
10 http://www.enzyklopaedie-der-wirtschaftsinformatik.de, 1.12.2013
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11 Williams, Mobasher, Burke, Defending Recommender Systems: Detection of Profile Injection Attacks, 2007
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0,00
0,20
0,40
0,60
0,80
1,00
1,20
1,40
1,60
1,80
Random Attack Bandwagon Attack Average Attack
Burke, Mahony, Hurley, Robust Collaborative Recommendation
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0,00
0,10
0,20
0,30
0,40
0,50
0,60
0,70
0,80
0,90
All-Users Segment Attack
Burke, Mahony, Hurley, Robust Collaborative Recommendation
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-2,50
-2,00
-1,50
-1,00
-0,50
0,00
Reverse Bandwagon
Average Attack
Random Attack
Bandwagon Attack
Love/Hate Attack
Burke, Mahony, Hurley, Robust Collaborative Recommendation
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-0,80
-0,70
-0,60
-0,50
-0,40
-0,30
-0,20
-0,10
0,00
0,10
Reverse Bandwagon
Average Attack
Random Attack
Bandwagon Attack
Love/Hate Attack
Burke, Mahony, Hurley, Robust Collaborative Recommendation
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10%
20%
30%
40%
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60%
70%
80%
Average Attack Probe Attack Popular Attack
Burke, Mahony, Hurley, Robust Collaborative Recommendation
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