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» Adaptive relevance feedback in information retrieval
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CORR
2010
Springer
218views Education» more  CORR 2010»
13 years 5 months ago
User Centered and Ontology Based Information Retrieval System for Life Sciences
Because of the increasing number of electronic data, designing efficient tools to retrieve and exploit documents is a major challenge. Current search engines suffer from two main d...
Sylvie Ranwez, Vincent Ranwez, Mohameth-Fran&ccedi...
SIGIR
2006
ACM
14 years 2 months ago
Learning user interaction models for predicting web search result preferences
Evaluating user preferences of web search results is crucial for search engine development, deployment, and maintenance. We present a real-world study of modeling the behavior of ...
Eugene Agichtein, Eric Brill, Susan T. Dumais, Rob...
MMDB
2003
ACM
94views Multimedia» more  MMDB 2003»
14 years 1 months ago
Improving image retrieval effectiveness via multiple queries
Conventional approaches to image retrieval are based on the assumption that relevant images are physically near the query image in some feature space. This is the basis of the clu...
Xiangyu Jin, James C. French
WWW
2007
ACM
14 years 9 months ago
Open user profiles for adaptive news systems: help or harm?
Over the last five years, a range of projects have focused on progressively more elaborated techniques for adaptive news delivery. However, the adaptation process in these systems...
Jae-wook Ahn, Peter Brusilovsky, Jonathan Grady, D...
AIRS
2009
Springer
14 years 3 months ago
A Latent Dirichlet Framework for Relevance Modeling
Relevance-based language models operate by estimating the probabilities of observing words in documents relevant (or pseudo relevant) to a topic. However, these models assume that ...
Viet Ha-Thuc, Padmini Srinivasan