Аннотация к книге "Information Retrieval. A NOVEL INDEXING TECHNIQUE FOR WEB DOCUMENTS USING HIERARCHICAL CLUSTERING"
The information on the WWW is growing at an exponential rate; therefore, search engines are required to index the downloaded Web documents more efficiently. A typical search engine comprises of the three main components. (1) Crawler: Given a URL, it combs through the pages on the web and gathers the required information for the search engine. (2) Indexer: While an index of 100,000 documents can be queried within millisecond; a sequential scan may take hours.An indexer that optimizes speed and...
The information on the WWW is growing at an exponential rate; therefore, search engines are required to index the downloaded Web documents more efficiently. A typical search engine comprises of the three main components. (1) Crawler: Given a URL, it combs through the pages on the web and gathers the required information for the search engine. (2) Indexer: While an index of 100,000 documents can be queried within millisecond; a sequential scan may take hours.An indexer that optimizes speed and performance for finding relevant documents for a search query (3) Page Repository: The information retrieved by the web crawler is stored in a database called page repository. Web mining techniques like clustering can be used for this purpose. The performance of a search engine is limited because of these two problems. (1) Low precision (2) Low recall. Thus, there is a need to develop efficient indexing technique. In this book, a novel technique is being discussed that not only indexes the downloaded web documents efficiently but also uses a web-mining technique to make the indexed information searchable, enabling the search engines to provide more relevant results.
Данное издание не является оригинальным. Книга печатается по технологии принт-он-деманд после получения заказа.
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