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» Using Document Dimensions for Enhanced Information Retrieval
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WWW
2011
ACM
14 years 11 months ago
Identifying primary content from web pages and its application to web search ranking
Web pages are usually highly structured documents. In some documents, content with different functionality is laid out in blocks, some merely supporting the main discourse. In ot...
Srinivas Vadrevu, Emre Velipasaoglu
BMCBI
2010
123views more  BMCBI 2010»
15 years 4 months ago
eGIFT: Mining Gene Information from the Literature
Background: With the biomedical literature continually expanding, searching PubMed for information about specific genes becomes increasingly difficult. Not only can thousands of r...
Catalina O. Tudor, Carl J. Schmidt, K. Vijay-Shank...
SIGIR
2009
ACM
15 years 11 months ago
Addressing morphological variation in alphabetic languages
The selection of indexing terms for representing documents is a key decision that limits how effective subsequent retrieval can be. Often stemming algorithms are used to normaliz...
Paul McNamee, Charles K. Nicholas, James Mayfield
IADIS
2004
15 years 5 months ago
'surfing for knowledge' finding semantically similar Web clusters
In this paper we present our technique for finding semantically similar clusters within web documents obtained from a set of queries retrieved from the Google search engine. This ...
David Cleary, Diarmuid O'Donoghue
HT
2011
ACM
14 years 7 months ago
Personalisation in the wild: providing personalisation across semantic, social and open-web resources
One of the key motivating factors for information providers to use personalisation is to maximise the benefit to the user in accessing their content. However, traditionally such s...
Ben Steichen, Alexander O'Connor, Vincent Wade