bountyadvanced$1000 bounty

Build a recommendation engine without tracking users

167 participants 45 submissions 11 companies watching

Problem Context

Privacy regulations are killing personalized recommendations. Design a recommendation system that delivers relevant results WITHOUT storing user history, profiles, or tracking cookies.

Collaborative filtering needs user history. Content-based needs user profiles. Apple's on-device ML works but limits cross-device experience. Differential privacy adds noise. Contextual bandits need some session data. The EU's AI Act may classify recommendation systems as 'high-risk.'

Constraints

Zero persistent user data storage
Must achieve > 70% of traditional recommender accuracy
Must work for content, products, and social feeds
Must comply with strictest privacy regulations

Evaluation Criteria

Recommendation quality vs privacy tradeoff
Technical feasibility
Novelty of approach
Regulatory compliance

Posted by

companyPrivacyFirst Inc