Name
Abstract | ||
|---|---|---|
This report describes the work done at The University of Melb ourne for the TREC- 2005 Enterprise and Terabyte Tracks. In the Enterprise Trac k, we participated in the Discussion Task. We tried a number of different methods to make use of spe cial features of mailing lists to improve retrieval effectiveness, and found the use of threa d context to be promising. In the Terabyte Track, we continued our work with impact-based ranking and s ought to reduce indexing as well as query time. A new retrieval system has been developed for t his purpose and has shown several improvements over our system from last year. |
Year | Venue | Field |
|---|---|---|
2005 | TREC | Data mining,World Wide Web,Ranking,Information retrieval,Terabyte,Computer science,Search engine indexing |
DocType | Citations | PageRank |
Conference | 1 | 0.40 |
References | Authors | |
3 | 3 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Vo Anh | 1 | 1244 | 91.60 |
| William Webber | 2 | 585 | 31.30 |
| Alistair Moffat | 3 | 5913 | 728.91 |