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» Query Expansion and Query Reduction in Document Retrieval
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MIR
2010
ACM
163views Multimedia» more  MIR 2010»
13 years 11 months ago
SNDocRank: a social network-based video search ranking framework
Multimedia ranking algorithms are usually user-neutral and measure the importance and relevance of documents by only using the visual contents and meta-data. However, users’ int...
Liang Gou, Hung-Hsuan Chen, Jung-Hyun Kim, Xiaolon...
WWW
2011
ACM
13 years 3 months ago
Learning to rank with multiple objective functions
We investigate the problem of learning to rank for document retrieval from the perspective of learning with multiple objective functions. We present solutions to two open problems...
Krysta Marie Svore, Maksims Volkovs, Christopher J...
LREC
2010
165views Education» more  LREC 2010»
13 years 10 months ago
Improving Personal Name Search in the TIGR System
This paper describes the development and evaluation of enhancements to the specialized information retrieval capabilities of a multimodal reporting system. The system enables coll...
Keith J. Miller, Sarah McLeod, Elizabeth Schroeder...
IR
2007
13 years 9 months ago
Searching strategies for the Bulgarian language
This paper reports on the underlying IR problems encountered when indexing and searching with the Bulgarian language. For this language we propose a general light stemmer and demon...
Jacques Savoy
CIKM
2010
Springer
13 years 7 months ago
Exploiting site-level information to improve web search
Ranking Web search results has long evolved beyond simple bag-of-words retrieval models. Modern search engines routinely employ machine learning ranking that relies on exogenous r...
Andrei Z. Broder, Evgeniy Gabrilovich, Vanja Josif...