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CRYPTO
2009
Springer
145views Cryptology» more  CRYPTO 2009»
14 years 4 months ago
Leakage-Resilient Public-Key Cryptography in the Bounded-Retrieval Model
We study the design of cryptographic primitives resilient to key-leakage attacks, where an attacker can repeatedly and adaptively learn information about the secret key, subject o...
Joël Alwen, Yevgeniy Dodis, Daniel Wichs
ECIR
2010
Springer
13 years 11 months ago
Filtering Documents with Subspaces
We propose an approach to build a subspace representation for documents. This more powerful representation is a first step towards the development of a quantum-based model for Info...
Benjamin Piwowarski, Ingo Frommholz, Yashar Moshfe...
CIKM
2009
Springer
14 years 2 months ago
Empirical justification of the gain and discount function for nDCG
The nDCG measure has proven to be a popular measure of retrieval effectiveness utilizing graded relevance judgments. However, a number of different instantiations of nDCG exist, d...
Evangelos Kanoulas, Javed A. Aslam
AMT
2006
Springer
138views Multimedia» more  AMT 2006»
14 years 2 months ago
Relevence Assessment of Topic Ontology
In traditional Information Retrieval (IR), user profiles are often represented by keyword/concepts space vectors or by some predefined categories. Unfortunately, this data is often...
Xujuan Zhou, Yuefeng Li, Yue Xu, Raymond Lau
TKDE
2010
224views more  TKDE 2010»
13 years 8 months ago
Probabilistic Topic Models for Learning Terminological Ontologies
—Probabilistic topic models were originally developed and utilised for document modeling and topic extraction in Information Retrieval. In this paper we describe a new approach f...
Wang Wei, Payam M. Barnaghi, Andrzej Bargiela