350 search results - page 11 / 70 » Collaborative filtering and the generalized vector space mod... |
SIGIR
2009
ACM
14 years 3 months ago
2009
ACM
With the sheer growth of online user data, it becomes challenging to develop preference learning algorithms that are sufficiently flexible in modeling but also affordable in com...
SIGIR
2003
ACM
14 years 2 months ago
2003
ACM
Collaborative filtering aims at learning predictive models of user preferences, interests or behavior from community data, i.e. a database of available user preferences. In this ...
RECSYS
2010
ACM
13 years 9 months ago
2010
ACM
Context has been recognized as an important factor to consider in personalized Recommender Systems. However, most model-based Collaborative Filtering approaches such as Matrix Fac...
SCIA
2007
Springer
14 years 3 months ago
2007
Springer
Abstract. Recently, an energy-based unified framework for image denoising was proposed by Mr´azek et al. [10], from which existing nonlinear filters such as M-smoothers, bilater...
GECCO
2010
Springer
14 years 12 days ago
2010
Springer
Most surrogate approaches to multi-objective optimization build a surrogate model for each objective. These surrogates can be used inside a classical Evolutionary Multiobjective O...