In the Social Web, users typically interact with different Social network systems and can have different accounts and different identities. Identifying the users across the Web, independently of the protocols supported by each social system and independently of the authentication data supplied by the user, is, so far, a challenge. This paper presents an approach to perform uniquely user identification by using the public user data distributed across the systems in the Social Web.
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Titolo: | Cross-Systems Identification of Users in the Social Web |
Autori: | |
Data di pubblicazione: | 2009 |
Abstract: | In the Social Web, users typically interact with different Social network systems and can have different accounts and different identities. Identifying the users across the Web, independently of the protocols supported by each social system and independently of the authentication data supplied by the user, is, so far, a challenge. This paper presents an approach to perform uniquely user identification by using the public user data distributed across the systems in the Social Web. |
Handle: | http://hdl.handle.net/11567/240928 |
ISBN: | 9789728924935 |
Appare nelle tipologie: | 04.01 - Contributo in atti di convegno |
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