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KDD
2006
ACM
134views Data Mining» more  KDD 2006»
15 years 10 months ago
Learning to rank networked entities
Several algorithms have been proposed to learn to rank entities modeled as feature vectors, based on relevance feedback. However, these algorithms do not model network connections...
Alekh Agarwal, Soumen Chakrabarti, Sunny Aggarwal
GECCO
2009
Springer
151views Optimization» more  GECCO 2009»
15 years 4 months ago
Swarming to rank for information retrieval
This paper presents an approach to automatically optimize the retrieval quality of ranking functions. Taking a Swarm Intelligence perspective, we present a novel method, SwarmRank...
Ernesto Diaz-Aviles, Wolfgang Nejdl, Lars Schmidt-...
144
Voted
UAIS
2011
237views more  UAIS 2011»
14 years 4 months ago
Game accessibility: a survey
Over the last three decades, video games have evolved from a pastime into a force of change that is transforming the way people perceive, learn about, and interact with the world a...
Bei Yuan, Eelke Folmer, Frederick C. Harris
CCS
2004
ACM
15 years 3 months ago
KNOW Why your access was denied: regulating feedback for usable security
We examine the problem of providing useful feedback about access control decisions to users while controlling the disclosure of the system’s security policies. Relevant feedback...
Apu Kapadia, Geetanjali Sampemane, Roy H. Campbell
78
Voted
WWW
2005
ACM
15 years 10 months ago
A publish and subscribe collaboration architecture for web-based information
Markup languages, representations, schemas, and tools have significantly increased the ability for organizations to share their information. Languages, such as the Extensible Mark...
M. Brian Blake, David H. Fado, Gregory A. Mack