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COLING
2010
14 years 5 months ago
Extracting and Ranking Product Features in Opinion Documents
An important task of opinion mining is to extract people's opinions on features of an entity. For example, the sentence, "I love the GPS function of Motorola Droid"...
Lei Zhang, Bing Liu, Suk Hwan Lim, Eamonn O'Brien-...
CIKM
2009
Springer
14 years 8 months ago
Probabilistic models of ranking novel documents for faceted topic retrieval
Traditional models of information retrieval assume documents are independently relevant. But when the goal is retrieving diverse or novel information about a topic, retrieval mode...
Ben Carterette, Praveen Chandar
AMR
2005
Springer
128views Multimedia» more  AMR 2005»
15 years 3 months ago
Ranking Invariance Based on Similarity Measures in Document Retrieval
Abstract. To automatically retrieve documents or images from a database, retrieval systems use similarity measures to compare a request based on features extracted from the documen...
Jean-François Omhover, Maria Rifqi, Marcin ...
JCIT
2007
91views more  JCIT 2007»
14 years 10 months ago
A Tool to Personalize the Ranking of the Documents Returned by an Internet Search Engine
Internet search engines identify web pages that contain user-specified keywords, and then rank these pages according to their (heuristically assessed) relevance to the user’s qu...
Wadee S. Alhalabi, Miroslav Kubat, Moiez A. Tapia
IJMSO
2008
94views more  IJMSO 2008»
14 years 10 months ago
Semantic retrieval and ranking of Semantic Web documents using free-form queries
: Recent advances in the Semantic Web research community actuated the experimentation with a variety of approaches concerning the retrieval of Semantic Web Documents (SWDs). Most a...
Vassilis Spiliopoulos, Konstantinos Kotis, George ...