| 40076 |
Creator |
21e3abf33e3daaa89c07ea7d5da24bb0 |
| 40076 |
Creator |
ext-1a41ec07b5438623d4c6c1df647a81e6 |
| 40076 |
Creator |
ext-ac51371e43a19cb8ecabf87e21898e5b |
| 40076 |
Date |
2014-06 |
| 40076 |
Is Part Of |
p00200255 |
| 40076 |
Is Part Of |
repository |
| 40076 |
abstract |
In the social web, people use social systems for sharing content and opinions, for
communicating with friends, for tagging, etc. People usually have different accounts
and different profiles on all of these systems. Several tools for user data aggregation
and people search have been developed and protocols and standards for data portability
have been defined. This paper presents an approach and an algorithm, named Cross-System
User Data Discovery (CS-UDD), to retrieve and aggregate user data distributed on social
websites. It is designed to crawl websites, retrieve profiles that may belong to the
searched user, correlate them, aggregate the discovered data and return them to the
searcher which may, for example, be an adaptive system. The user attributes retrieved,
namely attribute-value pairs, are associated with a certainty factor that expresses
the confidence that they are true for the searched user. To test the algorithm, we
ran it on two popular social networks, MySpace and Flickr. The evaluation has demonstrated
the ability of the CS-UDD algorithm to discover unknown user attributes and has revealed
high precision of the discovered attributes. |
| 40076 |
authorList |
authors |
| 40076 |
issue |
20 |
| 40076 |
status |
peerReviewed |
| 40076 |
uri |
http://data.open.ac.uk/oro/document/235324 |
| 40076 |
uri |
http://data.open.ac.uk/oro/document/235394 |
| 40076 |
uri |
http://data.open.ac.uk/oro/document/235395 |
| 40076 |
uri |
http://data.open.ac.uk/oro/document/235396 |
| 40076 |
uri |
http://data.open.ac.uk/oro/document/235397 |
| 40076 |
uri |
http://data.open.ac.uk/oro/document/235398 |
| 40076 |
uri |
http://data.open.ac.uk/oro/document/249220 |
| 40076 |
volume |
270 |
| 40076 |
type |
AcademicArticle |
| 40076 |
type |
Article |
| 40076 |
label |
Carmagnola, Francesca; Osborne, Francesco and Torre, Ilaria (2014). User data
discovery and aggregation: the CS-UDD algorithm. Information Sciences, 270(20) pp.
41–72. |
| 40076 |
label |
Carmagnola, Francesca; Osborne, Francesco and Torre, Ilaria (2014). User data discovery
and aggregation: the CS-UDD algorithm. Information Sciences, 270(20) pp. 41–72. |
| 40076 |
Title |
User data discovery and aggregation: the CS-UDD algorithm |
| 40076 |
in dataset |
oro |