Abstract: In tag-based recommendation,tags play a role in the link between users and information resources.However,compared to rating data,since the semantic properties of the tag data,tag data reflects user preferences more directly,so the privacy issues in tag-based recommendation are more serious.Recommender server collects user history tag records,once an attacker accesses the user information by attacking the recommender server,it will cause serious leakage of user privacy.A resource recommendation method (CDP k-meansRA) based on tag k-means clustering with privacy protection is proposed.Sender anonymity protection is provided by using Crowds network and ε-differential privacy are fused into an improved tag clustering based recommendation algorithm.The experiments show that compared to k-meansRA and so on,the CDP k-meansRA can keep the quality of the recommendation under the premise of user privacy preservation.

Key words: Privacy preservation,Tag clustering,Crowds network,Sender anonymity,ε-differential privacy