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XM-tree, un nuevo índice para recuperación de Información en la Web
| Content Provider | Semantic Scholar |
|---|---|
| Author | Deco, Claudia Bender, Cristina Pierángeli, Guillermo Reyes, Nora Susana |
| Copyright Year | 2007 |
| Abstract | Web Information Retrieval is another problem of searching elements of a set which are closest to a given query under a certain similarity criterion. It is of interest to take advantage of metric spaces in order to solve a search in an effective and efficient way. In this article, we present an extension of the M-tree index, called XM-tree, in order to improve search results. This index allows dynamic insertion of new data, reduces search costs using prunings and precalculated distances, and uses a tolerable amount of space, which makes this index apt for the extensive and dynamic Web. The proposed extension indexes Web documents, uses L2 as indexing distance and L as similarity criterion to solve queries. We also present experiments validating the results. |
| File Format | PDF HTM / HTML |
| Alternate Webpage(s) | http://sedici.unlp.edu.ar/bitstream/handle/10915/22143/Documento_completo.pdf?isAllowed=y&sequence=1 |
| Language | English |
| Access Restriction | Open |
| Content Type | Text |
| Resource Type | Article |
