Recommendation systems which aim at providing relevant information to users are becoming more and more important and desirable due to the enormous amount of information available ...
Ching-man Au Yeung, Nicholas Gibbins, Nigel Shadbo...
Contextual text mining is concerned with extracting topical themes from a text collection with context information (e.g., time and location) and comparing/analyzing the variations...
entional user behavior, we need a principled mannerAbstract for relaxing contextual constraints when they are violated.When computer speech recognition is used for problem In order...
Sheryl R. Young, Wayne H. Ward, Alexander G. Haupt...
This paper presents a new definition of context for contextaware computing based on a model that relies on dynamic queries over structured objects. This new model enables develop...
Kenneth M. Anderson, Frank Allan Hansen, Niels Olo...
Ever since the boom of World Wide Web, profiling online users' interests has become an important task for content providers. The traditional approach involves manual entry of...