{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,2,21]],"date-time":"2025-02-21T14:44:11Z","timestamp":1740149051529,"version":"3.37.3"},"reference-count":22,"publisher":"Wiley","license":[{"start":{"date-parts":[[2020,12,16]],"date-time":"2020-12-16T00:00:00Z","timestamp":1608076800000},"content-version":"unspecified","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61672300","TC190H3WM"],"award-info":[{"award-number":["61672300","TC190H3WM"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100006579","name":"Ministry of Industry and Information Technology of the People's Republic of China","doi-asserted-by":"publisher","award":["61672300","TC190H3WM"],"award-info":[{"award-number":["61672300","TC190H3WM"]}],"id":[{"id":"10.13039\/501100006579","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Security and Communication Networks"],"published-print":{"date-parts":[[2020,12,16]]},"abstract":"<jats:p>In the past decades, the ever-increasing popularity of the Internet has led to an explosive growth of information, which has consequently led to the emergence of recommendation systems. A series of cloud-based encryption measures have been adopted in the current recommendation systems to protect users\u2019 privacy. However, there are still many other privacy attacks on the local devices. Therefore, this paper studies the encryption interference of applying a differential privacy protection scheme on the data in the user\u2019s local devices under the assumption of an untrusted server. A dynamic privacy budget allocation method is proposed based on a localized differential privacy protection scheme while taking the specific application scene of movie recommendation into consideration. What is more, an improved user-based collaborative filtering algorithm, which adopts a matrix-based similarity calculation method instead of the traditional vector-based method when computing the user similarity, is proposed. Finally, it was proved by experimental results that the differential privacy-based movie recommendation system (DP-MRE) proposed in this paper could not only protect the privacy of users but also ensure the accuracy of recommendations.<\/jats:p>","DOI":"10.1155\/2020\/6611463","type":"journal-article","created":{"date-parts":[[2020,12,17]],"date-time":"2020-12-17T02:10:02Z","timestamp":1608171002000},"page":"1-10","source":"Crossref","is-referenced-by-count":7,"title":["A Movie Recommendation System Based on Differential Privacy Protection"],"prefix":"10.1155","volume":"2020","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-1291-3603","authenticated-orcid":true,"given":"Min","family":"Li","sequence":"first","affiliation":[{"name":"College of Cyber Science, Nankai University, Tianjin 300017, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4435-1385","authenticated-orcid":true,"given":"Yingming","family":"Zeng","sequence":"additional","affiliation":[{"name":"Hangtian INC, Beijing 100140, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4972-5278","authenticated-orcid":true,"given":"Yue","family":"Guo","sequence":"additional","affiliation":[{"name":"College of Cyber Science, Nankai University, Tianjin 300017, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7988-6726","authenticated-orcid":true,"given":"Yun","family":"Guo","sequence":"additional","affiliation":[{"name":"College of Cyber Science, Nankai University, Tianjin 300017, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"311","reference":[{"issue":"1","key":"1","first-page":"4","article-title":"Towards modeling privacy in WiFi fingerprinting indoor localization and its application","volume":"10","author":"Z. 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