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» Comparing relevance feedback algorithms for web search
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122
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WWW
2008
ACM
16 years 4 months ago
Personalized web exploration with task models
Personalized Web search has emerged as one of the hottest topics for both the Web industry and academic researchers. However, the majority of studies on personalized search focuse...
Jae-wook Ahn, Peter Brusilovsky, Daqing He, Jonath...
135
Voted
ICCV
2011
IEEE
14 years 3 months ago
HEAT: Iterative Relevance Feedback with One Million Images
It has been shown repeatedly that iterative relevance feedback is a very efficient solution for content-based image retrieval. However, no existing system scales gracefully to hu...
Nicolae Suditu, Francois Fleuret
136
Voted
SIGIR
2008
ACM
15 years 3 months ago
A bayesian logistic regression model for active relevance feedback
Relevance feedback, which traditionally uses the terms in the relevant documents to enrich the user's initial query, is an effective method for improving retrieval performanc...
Zuobing Xu, Ram Akella
128
Voted
TREC
1998
15 years 5 months ago
ClickIR: Text Retrieval using a Dynamic Hypertext Interface
In this report we describe our model of dynamic hypertext and how the ClickIR system uses this model to assist users in interactive search. The system was used in both the ad hoc ...
Richard C. Bodner, Mark H. Chignell
141
Voted
IFIP12
2009
15 years 1 months ago
Revealing Paths of Relevant Information in Web Graphs
In this paper we propose a web search methodology based on the Ant Colony Optimization (ACO) algorithm, which aims to enhance the amount of the relevant information in respect to a...
Georgios Kouzas, Vassilis Kolias, Ioannis Anagnost...