Name
Abstract | ||
|---|---|---|
The explosive expansion of the World Wide Web makes the search problems more chal-lengeable. In this paper we present a search improvement method based on a semiotic connection network and a genetic algorithm. The semiotic connection network expands given keywords to an extended set of key-words. The genetic algorithm tunes up the parameters for search. The experimental re-sults showed 6% improvement over Google's search results. The proposed method was in-corporated into a commercial product. |
Year | Venue | Keywords |
|---|---|---|
2002 | GECCO | genetic algorithms,semiotic network,search improvement,world wide web,genetic algorithm |
Field | DocType | ISBN |
Computer science,Semiotics,Artificial intelligence,Best-first search,Genetic algorithm,Machine learning | Conference | 1-55860-878-8 |
Citations | PageRank | References |
0 | 0.34 | 11 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Sang-Yon Lee | 1 | 0 | 0.34 |
| Sung-Soon Choi | 2 | 112 | 11.03 |
| Byung Ro Moon | 3 | 366 | 31.12 |