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SIGIR
2011
ACM
12 years 10 months ago
Pseudo test collections for learning web search ranking functions
Test collections are the primary drivers of progress in information retrieval. They provide a yardstick for assessing the effectiveness of ranking functions in an automatic, rapi...
Nima Asadi, Donald Metzler, Tamer Elsayed, Jimmy L...
DASFAA
2004
IEEE
123views Database» more  DASFAA 2004»
13 years 11 months ago
A Meta-search Method with Clustering and Term Correlation
A meta-search engine propagates user queries to its participant search engines following a server selection strategy. To facilitate server selection, the metasearch engine must ke...
Dyce Jing Zhao, Dik Lun Lee, Qiong Luo
SIGMOD
2010
ACM
132views Database» more  SIGMOD 2010»
13 years 2 months ago
Durable top-k search in document archives
We propose and study a new ranking problem in versioned databases. Consider a database of versioned objects which have different valid instances along a history (e.g., documents i...
Leong Hou U, Nikos Mamoulis, Klaus Berberich, Srik...
SIGIR
2003
ACM
14 years 28 days ago
Automatic ranking of retrieval systems in imperfect environments
The empirical investigation of the effectiveness of information retrieval (IR) systems requires a test collection, a set of query topics, and a set of relevance judgments made by ...
Rabia Nuray, Fazli Can
CIKM
2007
Springer
14 years 1 months ago
Effective top-k computation in retrieving structured documents with term-proximity support
Modern web search engines are expected to return top-k results efficiently given a query. Although many dynamic index pruning strategies have been proposed for efficient top-k com...
Mingjie Zhu, Shuming Shi, Mingjing Li, Ji-Rong Wen