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99
Voted
SIGIR
2012
ACM
13 years 2 days ago
Inferring missing relevance judgments from crowd workers via probabilistic matrix factorization
In crowdsourced relevance judging, each crowd worker typically judges only a small number of examples, yielding a sparse and imbalanced set of judgments in which relatively few wo...
Hyun Joon Jung, Matthew Lease
SSDBM
2000
IEEE
87views Database» more  SSDBM 2000»
15 years 2 months ago
A Tool for Nesting and Clustering Large Objects
In implementations of non-standard database systems, large objects are often embedded within an aggregate of different types, i.e. a tuple. For a given size and access probabilit...
Stefan Dieker, Ralf Hartmut Güting, Miguel Ro...
PVLDB
2008
124views more  PVLDB 2008»
14 years 9 months ago
DBPubs: multidimensional exploration of database publications
DBPubs is a system for effectively analyzing and exploring the content of database publications by combining keyword search with OLAP-style aggregations, navigation, and reporting...
Akanksha Baid, Andrey Balmin, Heasoo Hwang, Erik N...
69
Voted
SEMWEB
2009
Springer
15 years 4 months ago
Towards Lightweight and Robust Large Scale Emergent Knowledge Processing
We present a lightweight framework for processing uncertain emergent knowledge that comes from multiple resources with varying relevance. The framework is essentially RDF-compatibl...
Vít Novácek, Stefan Decker
64
Voted
ECIR
2010
Springer
14 years 11 months ago
Finding Wormholes with Flickr Geotags
We propose a kernel convolution method to predict similar locations (wormholes) based on human travel behaviour. A scaling parameter can be used to define a set of relevant users t...
Maarten Clements, Pavel Serdyukov, Arjen P. de Vri...