We are developing a corpus-based approach for the prediction of help-desk responses from features in customers’ emails, where responses are represented at two levels of granular...
This paper details our experiments carried out at TREC 2008 Relevance Feedback Track. We focused on the analysis of feedback documents, both relevant and non-relevant, to explore ...
We consider recommender systems that filter information and only show the most preferred items. Good recommendations can be provided only when an accurate model of the user's...
This is an analysis of the computer generated feedback from an industry certification course, as taught as part of a university unit. A method for extracting useful information fr...
Abstract-- In this paper, we present a completely distributed algorithm for partitioning a given set of mobile nodes into clusters. The proposed algorithm tries to reduce the amoun...