In this paper we investigate how people use online rating information to inform decision making. We examine whether a theory of searching for information to discriminate between a...
We apply a well-known Bayesian probabilistic model to textual information retrieval: the classification of documents based on their relevance to a query. This model was previously...
Abstract. Web portals provide an efficient gateway to a broad range of Eservices, resources and information. Web portals need to evolve towards being adaptive in nature, so that th...
In this article we present a method for combining different information retrieval models in order to increase the retrieval performance in a Speech Information Retrieval task. The...
To understand how and why individuals make use of emerging information assimilation services on the Web as part of their daily routine, we combined video recordings of online acti...