15 search results - page 3 / 3 » Matchbox: large scale online bayesian recommendations |
CIKM
2008
Springer
13 years 6 months ago
2008
Springer
Data sparsity, scalability and prediction quality have been recognized as the three most crucial challenges that every collaborative filtering algorithm or recommender system conf...
COLING
2010
12 years 11 months ago
2010
The potential benefit of integrating contextual information for recommendation has received much research attention recently, especially with the ever-increasing interest in mobil...
KDD
2000
ACM
13 years 8 months ago
2000
ACM
In this paper we introduce the Generalized Bayesian Committee Machine (GBCM) for applications with large data sets. In particular, the GBCM can be used in the context of kernel ba...
ICML
1994
IEEE
13 years 7 months ago
1994
IEEE
Model selection is important in many areas of supervised learning. Given a dataset and a set of models for predicting with that dataset, we must choose the model which is expected...
WWW
2009
ACM
14 years 5 months ago
2009
ACM
We propose novel spatio-temporal models to estimate clickthrough rates in the context of content recommendation. We track article CTR at a fixed location over time through a dynam...