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» Comparing two blind relevance feedback techniques
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CIKM
2008
Springer
15 years 2 days 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
15 years 4 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
14 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
15 years 2 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»
14 years 10 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