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The problem of information overload and the necessity for precise information retrieval has led to the extensive use of recommendation systems (RS). However, ensuring the privacy of user information during the recommendation is a major concern. Despite efforts to develop privacy-preserving techniques, a research gap remains in identifying effective and efficient techniques that guarantee privacy. To address this gap, this study presents a systematic review of privacy techniques for recommendation systems published in the past 6 years in accordance with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) protocol. The review categorizes and discusses the most promising privacy techniques and leading research domains in the field of privacy-preserving recommendation systems. Moreover, the study highlights the current challenges faced in this field and identifies open …