We propose a novel approach to find aliases of a given name from the web. We exploit a set of known names and their aliases as training data and extract lexical patterns that conv...
Document classification presents difficult challenges due to the sparsity and the high dimensionality of text data, and to the complex semantics of the natural language. The tradi...
Instance selection and feature selection are two orthogonal methods for reducing the amount and complexity of data. Feature selection aims at the reduction of redundant features i...
This paper presents a context-aware mobile recommender system, codenamed Magitti. Magitti is unique in that it infers user activity from context and patterns of user behavior and,...
Victoria Bellotti, James Bo Begole, Ed Huai-hsin C...
Fitts' law, Steering law and Law of crossing, collectively known as the laws of action, model the speed-accuracy tradeoffs in common HCI tasks. These laws impose a certain sp...