Abstract. The ubiquity of smartphones and other location-aware handheld devices has resulted in a dramatic increase in popularity of locationbased services (LBS) tailored to user l...
End-user interactive concept learning is a technique for interacting with large unstructured datasets, requiring insights from both human-computer interaction and machine learning...
Saleema Amershi, James Fogarty, Ashish Kapoor, Des...
Learning the user’s semantics for CBIR involves two different sources of information: the similarity relations entailed by the content-based features, and the relevance relatio...
This paper describes a decision tree model and 3dimensional representation of information retrieved from various weblogs in relation to argumentative logics. The weblogs are consi...
In this paper, we propose an agent-centric approach to resource description and selection in a multiagent information retrieval (IR). In the multiagent system, each agent learns f...