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» Positional language models for information retrieval
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SIGIR
2009
ACM
15 years 4 months ago
An improved markov random field model for supporting verbose queries
Recent work in supervised learning of term-based retrieval models has shown significantly improved accuracy can often be achieved via better model estimation [2, 10, 11, 17]. In ...
Matthew Lease
IPM
2007
118views more  IPM 2007»
14 years 9 months ago
Cluster-based patent retrieval
Through the recent NTCIR workshops, patent retrieval casts many challenging issues to information retrieval community. Unlike newspaper articles, patent documents are very long an...
In-Su Kang, Seung-Hoon Na, Jungi Kim, Jong-Hyeok L...
SIGIR
2008
ACM
14 years 9 months ago
A study of methods for negative relevance feedback
Negative relevance feedback is a special case of relevance feedback where we do not have any positive example; this often happens when the topic is difficult and the search result...
Xuanhui Wang, Hui Fang, ChengXiang Zhai
MM
2010
ACM
162views Multimedia» more  MM 2010»
14 years 10 months ago
Interactive visual object search through mutual information maximization
Searching for small objects (e.g., logos) in images is a critical yet challenging problem. It becomes more difficult when target objects differ significantly from the query object...
Jingjing Meng, Junsong Yuan, Yuning Jiang, Nitya N...
HT
2010
ACM
14 years 7 months ago
Citation based plagiarism detection: a new approach to identify plagiarized work language independently
This paper describes a new approach towards detecting plagiarism and scientific documents that have been read but not cited. In contrast to existing approaches, which analyze docu...
Bela Gipp, Jöran Beel