How do recommender systems protect user privacy?
Recommender systems use various techniques to protect user privacy, such as data anonymization and encryption.
What is data anonymization?
Data anonymization is the process of removing personally identifiable information from data sets, making it impossible to link data back to an individual.
Are there any regulations that govern user privacy in these systems?
Yes, regulations like GDPR in Europe and CCPA in California set strict guidelines on how user data should be handled.
Can users control what data is collected about them?
Yes, many platforms allow users to manage their privacy settings and control what data is collected.
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