250 search results - page 4 / 50 » A Web Recommendation System Based on Maximum Entropy |
SYRCODIS
2007
13 years 8 months ago
2007
Recommender systems apply statistical and knowledge discovery techniques to the problem of making recommendations during live user interaction. This paper describes a novel approa...
COLING
2002
13 years 7 months ago
2002
In this paper, a supervised learning system of word sense disambiguation is presented. It is based on conditional maximum entropy models. This system acquires the linguistic knowl...
NIPS
2008
13 years 9 months ago
2008
Learning graphical models with hidden variables can offer semantic insights to complex data and lead to salient structured predictors without relying on expensive, sometime unatta...
ICWS
2009
IEEE
13 years 5 months ago
2009
IEEE
As the abundance of Web services on the World Wide Web increase, designing effective approaches for Web service selection and recommendation has become more and more important. In...
ADAPTIVE
2007
Springer
14 years 1 months ago
2007
Springer
This chapter discusses content-based recommendation systems, i.e., systems that recommend an item to a user based upon a description of the item and a profile of the user’s inter...