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JCDL
2006
ACM
71views Education» more  JCDL 2006»
13 years 11 months ago
Using controlled query generation to evaluate blind relevance feedback algorithms
Currently in document retrieval there are many algorithms each with different strengths and weakness. There is some difficulty, however, in evaluating the impact of the test quer...
Chris Jordan, Carolyn R. Watters, Qigang Gao
SPIRE
2004
Springer
13 years 10 months ago
Evaluating Relevance Feedback and Display Strategies for Searching on Small Displays
Abstract Searching information resources using mobile devices is affected by displays on which only a small fraction of the set of ranked documents can be displayed. In this study ...
Vishwa Vinay, Ingemar J. Cox, Natasa Milic-Fraylin...
ICIP
2003
IEEE
14 years 6 months ago
Performance evaluation of Euclidean/correlation-based relevance feedback algorithms in content-based image retrieval systems
In this paper, we evaluate and investigate two main types of relevance feedback algorithms; the Euclidean and the correlation?based approaches. In the first case, we examine heuri...
Anastasios D. Doulamis, Nikolaos D. Doulamis
ERCIMDL
2007
Springer
87views Education» more  ERCIMDL 2007»
13 years 11 months ago
Thesaurus-Based Feedback to Support Mixed Search and Browsing Environments
We propose and evaluate a query expansion mechanism that supports searching and browsing in collections of annotated documents. Based on generative language models, our feedback me...
Edgar Meij, Maarten de Rijke
ICPR
2002
IEEE
14 years 6 months ago
Building a Latent Semantic Index of an Image Database from Patterns of Relevance Feedback
This paper proposes a novel view of the information generated by relevance feedback. Latent semantic analysis is adapted to this view to extract useful inter-query information. Th...
Douglas R. Heisterkamp