54 search results - page 4 / 11 » Personalized active learning for collaborative filtering |
IADIS
2008
13 years 6 months ago
2008
Using open e-learning platforms as a tool to support the learning process has become an international tendency. Specially, in order to motivate the achievement of desired competen...
ICDM
2008
IEEE
13 years 11 months ago
2008
IEEE
A common task of recommender systems is to improve customer experience through personalized recommendations based on prior implicit feedback. These systems passively track differe...
CAISE
2006
Springer
13 years 9 months ago
2006
Springer
The evolution of mobile technologies, like web-enable cellphones, PDAs and wireless networks, makes it now possible to use these technologies for collaborative work through web-bas...
ECIR
2010
Springer
13 years 6 months ago
2010
Springer
Collaborative filtering is one of the most effective techniques for making personalized content recommendation. In the literature, a common experimental setup in the modeling phase...
SIGIR
2009
ACM
13 years 11 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...