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Research has tried to help users in setting their privacy settings by using some settings that have already been adapted by the user or individual factors like personality to predict the remaining settings. But in some cases, neither is available. However, the user might have already done privacy settings in another domain, for example, she already adapted the privacy settings on the smartphone, but not on her social network account. In this article, we investigate with the example of four domains (social network posts, location sharing, smartphone app permission settings and data of an intelligent retail store), whether and how precise privacy settings of a domain can be predicted across domains. We performed an <jats:italic>exploratory study<\/jats:italic> to examine <jats:italic>which<\/jats:italic> privacy settings of the aforementioned domains could be useful, and validated our findings in a <jats:italic>validation study<\/jats:italic>. Our results indicate that such an approach works with a prediction precision about 15%\u201320% better than random and a prediction without input coefficients. We identified clusters of domains that allow model transfer between their members, and discuss which kind of privacy settings (general or context-based) leads to a better prediction accuracy. Based on the results, we would like to conduct user studies to find out whether the prediction precision is perceived by users as a significant improvement over a \u201cone-size-fits-all\u201d solution, where every user is given the same privacy settings.<\/jats:p>","DOI":"10.1007\/s11257-021-09307-6","type":"journal-article","created":{"date-parts":[[2021,11,8]],"date-time":"2021-11-08T16:02:42Z","timestamp":1636387362000},"page":"25-90","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":3,"title":["Transferring recommendations through privacy user models across domains"],"prefix":"10.1007","volume":"32","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-6405-1005","authenticated-orcid":false,"given":"Frederic","family":"Raber","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Antonio","family":"Kr\u00fcger","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2021,11,8]]},"reference":[{"key":"9307_CR2","doi-asserted-by":"publisher","unstructured":"Addae, Joyce H. et al.: \u201cExploring user behavioral data for adaptive cybersecurity\u201d. 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