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The Web-based nature of this information makes it ideal for use in a variety of intelligent systems that can take advantage of the users' social and personal data. For those systems to be effective, however, it is important to understand the relationship between social and personal preferences. In this work we investigate features of profile similarity and how those relate to the way users determine trust. Through a controlled study, we isolate several profile features beyond overall similarity that affect how much subjects trust hypothetical users. We then use data from FilmTrust, a real social network where users rate movies, and show that the profile features discovered in the experiment allow us to more accurately predict trust than when using only overall similarity. In this article, we present these experimental results and discuss the potential implications for using trust in user interfaces.<\/jats:p>","DOI":"10.1145\/1594173.1594174","type":"journal-article","created":{"date-parts":[[2009,9,22]],"date-time":"2009-09-22T14:09:47Z","timestamp":1253628587000},"page":"1-33","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":232,"title":["Trust and nuanced profile similarity in online social networks"],"prefix":"10.1145","volume":"3","author":[{"given":"Jennifer","family":"Golbeck","sequence":"first","affiliation":[{"name":"University of Maryland, College Park, College Park, MD"}]}],"member":"320","published-online":{"date-parts":[[2009,9,24]]},"reference":[{"key":"e_1_2_1_1_1","doi-asserted-by":"publisher","DOI":"10.1126\/science.286.5439.509"},{"key":"e_1_2_1_2_1","volume-title":"Proceedings of the 15th National\/10th Conference on Artificial Intelligence\/Innovative Applications of Artificial Intelligence (AAAI'98\/IAAI'98)","author":"Basu C.","unstructured":"Basu , C. , Hirsh , H. , and Cohen , W . 1998. Recommendation as classification: Using social and content-based information in recommendation . In Proceedings of the 15th National\/10th Conference on Artificial Intelligence\/Innovative Applications of Artificial Intelligence (AAAI'98\/IAAI'98) . American Association for Artificial Intelligence, Menlo Park, CA, 714--720. Basu, C., Hirsh, H., and Cohen, W. 1998. Recommendation as classification: Using social and content-based information in recommendation. In Proceedings of the 15th National\/10th Conference on Artificial Intelligence\/Innovative Applications of Artificial Intelligence (AAAI'98\/IAAI'98). American Association for Artificial Intelligence, Menlo Park, CA, 714--720."},{"key":"e_1_2_1_3_1","volume-title":"Proceedings of the 14th Annual Conference on Uncertainty in Artificial Intelligence. 43--52","author":"Breese J. S.","unstructured":"Breese , J. S. , Heckerman , D. , and Kadie , C . 1998. Empirical analysis of predictive algorithms for collaborative filtering . 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