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» Context-sensitive ranking for document retrieval
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NAACL
1994
13 years 11 months ago
Assessing the Retrieval Effectiveness of a Speech : Retrieval System by Simulating Recognition Errors
We show how the recognition performance of a speech recognition component in a speech retrieval system affects the retrieval effectiveness. A speech retrieval system facilitates c...
Peter Schäuble, Ulrike Glavitsch
CIKM
2009
Springer
14 years 4 months ago
Expected reciprocal rank for graded relevance
While numerous metrics for information retrieval are available in the case of binary relevance, there is only one commonly used metric for graded relevance, namely the Discounted ...
Olivier Chapelle, Donald Metlzer, Ya Zhang, Pierre...
IPM
2008
100views more  IPM 2008»
13 years 9 months ago
Query-level loss functions for information retrieval
Many machine learning technologies such as support vector machines, boosting, and neural networks have been applied to the ranking problem in information retrieval. However, since...
Tao Qin, Xu-Dong Zhang, Ming-Feng Tsai, De-Sheng W...
CIKM
2008
Springer
13 years 11 months ago
Improve the effectiveness of the opinion retrieval and opinion polarity classification
Opinion retrieval is a document retrieving and ranking process. A relevant document must be relevant to the query and contain opinions toward the query. Opinion polarity classific...
Wei Zhang, Lifeng Jia, Clement T. Yu, Weiyi Meng
ECIR
2008
Springer
13 years 11 months ago
Utilizing Passage-Based Language Models for Document Retrieval
Abstract. We show that several previously proposed passage-based document ranking principles, along with some new ones, can be derived from the same probabilistic model. We use lan...
Michael Bendersky, Oren Kurland