13 search results - page 2 / 3 » A Mixture Imputation-Boosted Collaborative Filter |
IR
2006
13 years 7 months ago
2006
Collaborative filtering is a general technique for exploiting the preference patterns of a group of users to predict the utility of items for a particular user. Three different co...
SIGIR
2003
ACM
14 years 10 days 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 ...
ICML
2004
IEEE
14 years 8 months ago
2004
IEEE
We describe a class of causal, discrete latent variable models called Multiple Multiplicative Factor models (MMFs). A data vector is represented in the latent space as a vector of...
ACCV
2007
Springer
14 years 1 months ago
2007
Springer
This paper presents a novel approach to tracking people in multiple cameras. A target is tracked not only in each camera but also in the ground plane by individual particle filter...
AAAI
2010
13 years 8 months ago
2010
Matrix factorization is a fundamental technique in machine learning that is applicable to collaborative filtering, information retrieval and many other areas. In collaborative fil...