Interweaving public user profiles on the web

作者: Fabian Abel , Nicola Henze , Eelco Herder , Daniel Krause

DOI: 10.1007/978-3-642-13470-8_4

关键词:

摘要: While browsing the Web, providing profile information in social networking services, or tagging pictures, users leave a plethora of traces In this paper, we analyze nature these We investigate how user data is distributed across different Web systems, and examine ways to aggregate Our analyses focus on both explicitly provided (name, homepage, etc.) activity (tags assigned bookmarks images) The experiments reveal significant benefits interweaving information: more complete profiles, advanced FOAF/vCard generation, disclosure new facets about users, higher level self-information induced by precision for predicting tag-based profiles solve cold start problem.

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