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A Game Theoretic Framework for Data Privacy Preservation in Recommender Systems
Published on Nov 30, 20113115 Views
We address the fundamental tradeoff between privacy preservation and high-quality recommendation stemming from a third party. Multiple users submit their ratings to a third party about items they have
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Chapter list
A Game Theoretic Framework for Data Privacy Preservation in Recommender Systems00:00
Introduction to recommender stystems00:19
Privacy preservation in recommendation systems01:22
Contributions03:07
Model: Ratings and recommendation - 103:53
Model: Ratings and recommendation - 205:15
Recommendation quality06:52
Privacy metric08:23
Problem formulation - 108:58
Problem formulation - 210:35
Case Study: Hybrid Recommendation systems11:43
Privacy preservation13:13
Recommendation quality14:06
System architecture14:38
Game theoretic analysis - 115:59
Game theoretic analysis - 216:15
Cooperative user strategies17:51
Experimental results - 119:31
Experimental results - 220:09
Experimental results - 320:44
Conclusions21:18
Thank you21:55