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» Learning to rank for information retrieval
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CIKM
2008
Springer
14 years 11 months ago
Joke retrieval: recognizing the same joke told differently
In a corpus of jokes, a human might judge two documents to be the "same joke" even if characters, locations, and other details are varied. A given joke could be retold w...
Lisa Friedland, James Allan
CIKM
2005
Springer
15 years 3 months ago
Minimal document set retrieval
This paper presents a novel formulation and approach to the minimal document set retrieval problem. Minimal Document Set Retrieval (MDSR) is a promising information retrieval task...
Wei Dai, Rohini K. Srihari
ACL
2009
14 years 7 months ago
Word or Phrase? Learning Which Unit to Stress for Information Retrieval
The use of phrases in retrieval models has been proven to be helpful in the literature, but no particular research addresses the problem of discriminating phrases that are likely ...
Young-In Song, Jung-Tae Lee, Hae-Chang Rim
WWW
2007
ACM
15 years 10 months ago
A cautious surfer for PageRank
This work proposes a novel cautious surfer to incorporate trust into the process of calculating authority for web pages. We evaluate a total of sixty queries over two large, real-...
Lan Nie, Baoning Wu, Brian D. Davison
SIGMOD
2009
ACM
111views Database» more  SIGMOD 2009»
15 years 10 months ago
Language-model-based ranking in entity-relation graphs
We propose a language-model-based ranking approach for SPARQLlike queries on entity-relationship graphs. Our ranking model supports exact matching, approximate structure matching,...
Shady Elbassuoni, Maya Ramanath, Gerhard Weikum