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IPM
2008
100views more  IPM 2008»
15 years 4 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...
IPM
2007
137views more  IPM 2007»
15 years 3 months ago
Analyzing imbalance among homogeneous index servers in a web search system
The performance of parallel query processing in a cluster of index servers is crucial for modern web search systems. In such a scenario, the response time basically depends on the...
Claudine Santos Badue, Ricardo A. Baeza-Yates, Ber...
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TPDS
2002
112views more  TPDS 2002»
15 years 3 months ago
Performance Analysis of a Distributed Question/Answering System
The problem of question/answering (Q/A) is to find answers to open-domain questions by searching large collections of documents. Unlike information retrieval systems, very common ...
Mihai Surdeanu, Dan I. Moldovan, Sanda M. Harabagi...
CIKM
2010
Springer
15 years 2 months ago
CiteData: a new multi-faceted dataset for evaluating personalized search performance
Personalized search systems have evolved to utilize heterogeneous features including document hyperlinks, category labels in various taxonomies and social tags in addition to free...
Abhay Harpale, Yiming Yang, Siddharth Gopal, Daqin...
PVLDB
2008
157views more  PVLDB 2008»
15 years 2 months ago
SEDA: a system for search, exploration, discovery, and analysis of XML Data
Keyword search in XML repositories is a powerful tool for interactive data exploration. Much work has recently been done on making XML search aware of relationship information emb...
Andrey Balmin, Latha S. Colby, Emiran Curtmola, Qu...