In this article, we present a new solution to improve the Web search performance. Our algorithm is based on a new clustering algorithm that classifies the results of a query from a search engine into subgroups and assigns each group a short series of keywords together with some statistics data. Then
A visual sonificated web search clustering engine
β Scribed by Alessio Rugo; Maria Laura Mele; Giuseppe Liotta; Francesco Trotta; Emilio Di Giacomo; Simone Borsci; Stefano Federici
- Publisher
- Springer-Verlag
- Year
- 2009
- Tongue
- English
- Weight
- 191 KB
- Volume
- 10
- Category
- Article
- ISSN
- 1612-4782
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