Name
Abstract | ||
|---|---|---|
Constructing and maintaining topic-specific Web indexes is modeled by a restless-bandits generalization and resolved by a reinforcement-learning algorithm. The authors outline the potential role of topic-specific robots in distributed search engine design, and they model the complex problem of automatically constructing and maintaining topic-specific Web indexes. Experimental results establish the viability of a topic-specific Web robot design based on the restless bandit model. The results indicate that the proposed algorithm is a good foundation on which to build a complete solution |
Year | DOI | Venue |
|---|---|---|
2001 | 10.1109/4236.914645 | Internet Computing, IEEE |
Keywords | Field | DocType |
distributed programming,indexing,information resources,learning (artificial intelligence),search engines,software agents,complex problem,distributed search engine design,reinforcement-learning algorithm,restless bandit model,restless bandits,restless-bandits generalization,topic-specific Web indexes,topic-specific Web robot design,topic-specific Web robot model,topic-specific robots | World Wide Web,Search engine,Computer science,Robot design,Search engine indexing,Software agent,Web modeling,Artificial intelligence,Robot,Machine learning | Journal |
Volume | Issue | ISSN |
5 | 2 | 1089-7801 |
Citations | PageRank | References |
5 | 0.65 | 11 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Tadhg O'Meara | 1 | 5 | 0.65 |
| Ahmed Patel | 2 | 167 | 23.33 |