15 search results - page 2 / 3 » Item Preference Parameters from Grouped Ranking Observations |
WWW
2009
ACM
14 years 3 months ago
2009
ACM
Tagging has emerged as a powerful mechanism that enables users to find, organize, and understand online entities. Recommender systems similarly enable users to efficiently navig...
CORR
2010
Springer
13 years 5 months ago
2010
Springer
Modeling ranked data is an essential component in a number of important applications including recommendation systems and websearch. In many cases, judges omit preference among un...
EDBT
2008
ACM
14 years 8 months ago
2008
ACM
To provide users with only relevant data from the huge amount of available information, personalization systems utilize preferences to allow users to express their interest on spe...
COGSCI
2002
13 years 8 months ago
2002
We address the problem of predicting how people will spontaneously divide into groups a set of novel items. This is a process akin to perceptual organization. We therefore employ ...
WWW
2010
ACM
14 years 3 months ago
2010
ACM
Recommender systems are an important component of many websites. Two of the most popular approaches are based on matrix factorization (MF) and Markov chains (MC). MF methods learn...