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» Comparing two blind relevance feedback techniques
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CIKM
2008
Springer
13 years 11 months ago
Translation enhancement: a new relevance feedback method for cross-language information retrieval
As an effective technique for improving retrieval effectiveness, relevance feedback (RF) has been widely studied in both monolingual and cross-language information retrieval (CLIR...
Daqing He, Dan Wu
IJCNN
2006
IEEE
14 years 3 months ago
Non-Relevance Feedback Document Retrieval based on One Class SVM and SVDD
— This paper reports a new document retrieval method using non-relevant documents. Especially, this paper reports a comparison of retrieval efficiency between One Class Support ...
Takashi Onoda, Hiroshi Murata, Seiji Yamada
SIGIR
2002
ACM
13 years 9 months ago
Comparing cross-language query expansion techniques by degrading translation resources
The quality of translation resources is arguably the most important factor affecting the performance of a cross-language information retrieval system. While many investigations ha...
Paul McNamee, James Mayfield
ECAI
2000
Springer
14 years 1 months ago
Similarity-based Approach to Relevance Learning
In several information retrieval (IR) systems there is a possibility for user feedback. Many machine learning methods have been proposed that learn from the feedback information in...
Rickard Cöster, Lars Asker
IPM
2008
93views more  IPM 2008»
13 years 9 months ago
A new robust relevance model in the language model framework
ct 8 In this paper, a new robust relevance model is proposed that can be applied to both pseudo and true relevance feedback 9 in the language-modeling framework for document retrie...
Xiaoyan Li