Name
Abstract | ||
|---|---|---|
The LADS (Log Analysis for Digital Societies) task at CLEF aims at investigating user actions in a multilingual setting. We carried out an analysis of search logs with the objectives of investigating how users from different linguistic or cultural backgrounds behave in search, and how the discovery of patterns in user actions could be used for community identification. The findings confirm that users from a different background behave differently, and that there are identifiable patterns in the user actions. The findings suggest that there is scope for further investigation of how search logs can be exploited to personalise and improve cross-language search as well as improve the TEL search system. |
Year | Venue | Keywords |
|---|---|---|
2009 | CLEF (1) | common user behaviour,search log,different background,community identification,digital societies,user action,tel search system,cultural background,multilingual search log,cross-language search,different linguistic,log analysis,working paper,information retrieval |
Field | DocType | Volume |
World Wide Web,Information retrieval,Computer science,Cross-language information retrieval,Clef | Conference | 6241 |
ISSN | ISBN | Citations |
0302-9743 | 3-642-15753-X | 8 |
PageRank | References | Authors |
0.89 | 5 | 5 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| M. Rami Ghorab | 1 | 69 | 8.08 |
| Johannes Leveling | 2 | 409 | 53.36 |
| Dong Zhou | 3 | 342 | 25.99 |
| Gareth J. F. Jones | 4 | 2709 | 300.77 |
| Vincent Wade | 5 | 8 | 0.89 |