Name
Abstract | ||
|---|---|---|
We describe a method to define and use subwebs, user-defined neighborhoods of the Internet. Subwebs help improve search performance by inducing a topic-specific page relevance bias over a collection of documents. Subwebs may be automatically identified using a simple algorithm we describe, and used to provide highly-relevant topic-specific information retrieval. Using subwebs in a Help and Support topic, we see marked improvements in precision compared to generic search engine results. |
Year | DOI | Venue |
|---|---|---|
2004 | 10.1145/1008992.1009080 | SIGIR |
Keywords | Field | DocType |
search engine,information retrieval | Data mining,World Wide Web,Search engine,Information retrieval,Computer science,The Internet | Conference |
ISBN | Citations | PageRank |
1-58113-881-4 | 3 | 0.52 |
References | Authors | |
4 | 4 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Raman Chandrasekar | 1 | 220 | 30.35 |
| Harr Chen | 2 | 522 | 28.20 |
| Simon Corston-Oliver | 3 | 349 | 25.25 |
| Eric Brill | 4 | 4735 | 921.12 |