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» Matchbox: large scale online bayesian recommendations
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WWW
2009
ACM
11 years 3 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
AGI
2008
10 years 4 months ago
Artificial General Intelligence through Large-Scale, Multimodal Bayesian Learning
Abstract. An artificial system that achieves human-level performance on opendomain tasks must have a huge amount of knowledge about the world. We argue that the most feasible way t...
Brian Milch
ADBIS
2011
Springer
275views Database» more  ADBIS 2011»
9 years 2 months ago
An Analysis of the Structure and Dynamics of Large-Scale Q/A Communities
Abstract. In recent years, the World Wide Web (WWW) has transformed to a gigantic social network where people interact and collaborate in diverse online communities. By using Web 2...
Daniel Schall, Florian Skopik
ITRUST
2004
Springer
10 years 8 months ago
Analyzing Correlation between Trust and User Similarity in Online Communities
Abstract. Past evidence has shown that generic approaches to recommender systems based upon collaborative filtering tend to poorly scale. Moreover, their fitness for scenarios su...
Cai-Nicolas Ziegler, Georg Lausen
WWW
2009
ACM
11 years 3 months ago
Large scale multi-label classification via metalabeler
The explosion of online content has made the management of such content non-trivial. Web-related tasks such as web page categorization, news filtering, query categorization, tag r...
Lei Tang, Suju Rajan, Vijay K. Narayanan
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