Name
Abstract | ||
|---|---|---|
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 the nature of these traces We investigate how user data is distributed across different Web systems, and examine ways to aggregate user profile information Our analyses focus on both explicitly provided profile information (name, homepage, etc.) and activity data (tags assigned to bookmarks or images) The experiments reveal significant benefits of interweaving profile information: more complete profiles, advanced FOAF/vCard profile generation, disclosure of new facets about users, higher level of self-information induced by the profiles, and higher precision for predicting tag-based profiles to solve the cold start problem. |
Year | DOI | Venue |
|---|---|---|
2010 | 10.1007/978-3-642-13470-8_4 | UMAP |
Keywords | Field | DocType |
higher level,tag-based profile,aggregate user profile information,public user profile,higher precision,vcard profile generation,interweaving profile information,activity data,profile information,different web system,complete profile | Web system,World Wide Web,User profile,FOAF,Social network,Cold start,Computer science | Conference |
Volume | ISSN | ISBN |
6075 | 0302-9743 | 3-642-13469-6 |
Citations | PageRank | References |
40 | 2.15 | 11 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Fabian Abel | 1 | 1187 | 62.22 |
| Nicola Henze | 2 | 946 | 90.27 |
| Eelco Herder | 3 | 586 | 55.28 |
| Daniel Krause | 4 | 40 | 2.15 |