321 search results - page 12 / 65 » Learning and adaptivity in interactive recommender systems |
MOBISYS
2006
ACM
14 years 7 months ago
2006
ACM
Automatic adaptation of content for mobile devices is a challenging problem because optimal adaptation often depends on the usage semantics of content, as well as the context of u...
KDD
2007
ACM
14 years 8 months ago
2007
ACM
The collaborative filtering approach to recommender systems predicts user preferences for products or services by learning past useritem relationships. In this work, we propose no...
OHS
2001
Springer
13 years 12 months ago
2001
Springer
Developing adaptive internet based learning courses usually requires a lot of programming efforts to provide session management, keeping track of the learners current state, and ad...
SDM
2003
SIAM
13 years 8 months ago
2003
SIAM
The singular value decomposition (SVD) is fundamental to many data modeling/mining algorithms, but SVD algorithms typically have quadratic complexity and require random access to ...
ICALT
2006
IEEE
14 years 1 months ago
2006
IEEE
All books entitled “Learn … with 1000 exercises” have in common the same basic principle. They aim to supply enough material to students so that they may better understand t...