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» On bootstrapping recommender systems
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WWW
2009
ACM
16 years 7 months ago
Matchbox: large scale online bayesian recommendations
We present a probabilistic model for generating personalised recommendations of items to users of a web service. The Matchbox system makes use of content information in the form o...
David H. Stern, Ralf Herbrich, Thore Graepel
SIGIR
2006
ACM
16 years 13 days ago
Statistical precision of information retrieval evaluation
We introduce and validate bootstrap techniques to compute confidence intervals that quantify the effect of test-collection variability on average precision (AP) and mean average...
Gordon V. Cormack, Thomas R. Lynam
FLAIRS
2000
15 years 7 months ago
Mining Textual Answers with Knowledge-Based Indicators
This paper describes a knowledge-based methodologyof miningtextual answersinto large collections of texts. Wepresent SOMBRERO,a knowledge processing module implemented in the LASS...
Sanda M. Harabagiu, Marius Pasca
JITECH
2010
116views more  JITECH 2010»
15 years 4 months ago
Design theory for dynamic complexity in information infrastructures: the case of building internet
We propose a design theory that tackles dynamic complexity in the design for Information Infrastructures (IIs) defined as a shared, open, heterogeneous and evolving socio-technica...
Ole Hanseth, Kalle Lyytinen
CGF
2010
155views more  CGF 2010»
15 years 6 months ago
SmallWorlds: Visualizing Social Recommendations
We present SmallWorlds, a visual interactive graph-based interface that allows users to specify, refine and build item-preference profiles in a variety of domains. The interface f...
Brynjar Gretarsson, John O'Donovan, Svetlin Bostan...