LEARNING WEB SEARCH PROFILES USING PROBABILISTIC INFERENCE

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" LEARNING WEB SEARCH PROFILES USING PROBABILISTIC INFERENCE "

Document Type	:	Latin Dissertation
Language of Document	:	English
Record Number	:	150823
Doc. No	:	ET22615
Main Entry	:	ERIKA ESTHER TORRES-VERDIN
Title Proper	:	LEARNING WEB SEARCH PROFILES USING PROBABILISTIC INFERENCE
Note	:	This document is digital این مدرک بصورت الکترونیکی می باشد
Abstract	:	The amount of information on the World Wide Web is enormous and userscan easily be overwhelmed by the available data. The most popular way to access thisinformation is through the use of search engines, where the user submits a query and thesearch engine retrieves a set of documents that match the keywords in the user's query.The problem with this method is that the terms in the query may not be good descriptorsof the contents of the documents and in many cases the answers returned by popular....-...,..tested for theQ1 PC1 bus cardBoth these projects mere sofixare des elopment efforts tonards contributing to dlfferentaspects of Roboucs and lZ1echatronics projects m the Controls and Roboucs Group..
Subject	:	Electericl tess
	:	برق
electronic file name	:	TL45839.pdf
Title and statement of responsibility and	:	LEARNING WEB SEARCH PROFILES USING PROBABILISTIC INFERENCE [Thesis]