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Personalized Social Recommendations - Accurate or Private?

Summary: Formalizes accuracy–privacy trade-offs for personalized social recommendations, focusing on protecting social links via differential privacy. Proves DP utility lower bounds, adapts two DP algorithms, and shows that high-quality private recommendations are feasible only for a minority or with lax privacy. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
10272
Venue
VLDB
Year
2011
Pagerank
6.6767405e-05
Overall Rank
3,874 | 73.06%
DOI
-

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