Inter-document similarity in web searches

Inter-document similarity in web searches (2004)

by Bruno Emanuel Da Graça Martins

Venue:	THESIS
Citations:	1 - 1 self

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Datum	Value	Source
TITLE	Inter-document similarity in web searches	INFERENCE
AUTHOR NAME	Bruno Emanuel Da Graça Martins	user correction
ABSTRACT	Existing Web search services fail in helping users with information needs that are broad, vague, or hard to express through a set of keywords. This dissertation investigates the use of retrieval techniques based on inter-document similarity, either measured through the textual contents or the linkage between documents. Unlike traditional retrieval approaches, which match documents against keywords and produce one-dimensional ranked lists of results, techniques based on inter-document similarity offer better support for results visualization, as well as alternative ways of expressing information needs. A Portuguese Web search engine has been extended with two inter-document similarity algorithms: result set clustering and related pages. The system was evaluated in a user survey, which has shown that both algorithms are well accepted.	user correction
YEAR	2004	SVM HeaderParse 0.2
VENUE	THESIS	user correction
VENUE TYPE	THESIS	user correction
CITATIONS	202 found	ParsCit 1.0