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CIKM
2008
Springer
13 years 10 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
JUCS
2008
117views more  JUCS 2008»
13 years 7 months ago
Ranking Retrieval Systems with Partial Relevance Judgements
: Some measures such as mean average precision and recall level precision are considered as good system-oriented measures, because they concern both precision and recall that are t...
Shengli Wu, Fabio Crestani
SIGIR
2011
ACM
12 years 10 months ago
Active learning to maximize accuracy vs. effort in interactive information retrieval
We consider an interactive information retrieval task in which the user is interested in finding several to many relevant documents with minimal effort. Given an initial documen...
Aibo Tian, Matthew Lease
IWC
1998
108views more  IWC 1998»
13 years 7 months ago
How many relevances in information retrieval?
The aim of an information retrieval system is to nd relevant documents, thus relevance is a (if not `the') central concept of information retrieval. Notwithstanding its impor...
Stefano Mizzaro
WWW
2005
ACM
14 years 8 months ago
Algorithmic detection of semantic similarity
Automatic extraction of semantic information from text and links in Web pages is key to improving the quality of search results. However, the assessment of automatic semantic meas...
Ana Gabriela Maguitman, Filippo Menczer, Heather R...