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MIR
2010
ACM
163views Multimedia» more  MIR 2010»
13 years 9 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...
ICTIR
2009
Springer
13 years 5 months ago
Prior Information and the Determination of Event Spaces in Probabilistic Information Retrieval Models
Abstract. A mismatch between differenteventspaceshasbeen used toargue against rank equivalence of classic probabilistic models of information retrieval and language models. We ques...
Corrado Boscarino, Arjen P. de Vries
ECIR
2009
Springer
14 years 5 months 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 ...
IR
2008
13 years 7 months ago
A probability ranking principle for interactive information retrieval
The classical Probability Ranking Principle (PRP) forms the theoretical basis for probabilistic Information Retrieval (IR) models, which are dominating IR theory since about 20 ye...
Norbert Fuhr
CIKM
2005
Springer
14 years 1 months ago
MailRank: using ranking for spam detection
Can we use social networks to combat spam? This paper investigates the feasibility of MailRank, a new email ranking and classification scheme exploiting the social communication ...
Paul-Alexandru Chirita, Jörg Diederich, Wolfg...