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SIGIR
2011
ACM
14 years 2 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»
15 years 3 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»
14 years 6 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
15 years 5 months 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
15 years 5 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