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» A Probability Model for Combining Ranks
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113
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TREC
2008
15 years 5 months ago
Combining Candidate and Document Models for Expert Search
: We describe our participation in the TREC 2008 Enterprise track and detail our language modeling-based approaches. For document search, our focus was on query expansion using pro...
Krisztian Balog, Maarten de Rijke
152
Voted
ICSE
2007
IEEE-ACM
15 years 10 months ago
Adaptive Probabilistic Model for Ranking Code-Based Static Analysis Alerts
Software engineers tend to repeat mistakes when developing software. Automated static analysis tools can detect some of these mistakes early in the software process. However, thes...
Sarah Smith Heckman
258
Voted
ICDE
2009
IEEE
156views Database» more  ICDE 2009»
16 years 5 months ago
Integrating and Ranking Uncertain Scientific Data
Mediator-based data integration systems resolve exploratory queries by joining data elements across sources. In the presence of uncertainties, such multiple expansions can quickly ...
Landon Detwiler, Wolfgang Gatterbauer, Brenton Lou...
119
Voted
ECIR
2009
Springer
16 years 28 days ago
Risk-Aware Information Retrieval
Probabilistic retrieval models usually rank documents based on a scalar quantity. However, such models lack any estimate for the uncertainty associated with a document’s rank. Fu...
Jianhan Zhu, Jun Wang, Michael J. Taylor, Ingemar ...
135
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WWW
2006
ACM
16 years 4 months ago
Beyond PageRank: machine learning for static ranking
Since the publication of Brin and Page's paper on PageRank, many in the Web community have depended on PageRank for the static (query-independent) ordering of Web pages. We s...
Matthew Richardson, Amit Prakash, Eric Brill