Distributed search systems are an emerging phenomenon in Web search, in which independent topic-speciļ¬c search engines provide search services, and metasearchers distribute userā...
ā The main objetive of this paper is to improve the current status of learning object search. First, the current situation is analyzed and a theretical solution, based on relevan...
In recent years, there is a growing interest in learning Bayesian networks with continuous variables. Learning the structure of such networks is a computationally expensive proced...
Search engines are key components in the online world and the choice of search engine is an important determinant of the user experience. In this work we seek to model user behavio...
The paper focuses on evaluating constraint satisfaction search algorithms on application based random problem instances. The application we use is a well-studied problem in the el...