Learning-to-rank algorithms, which can automatically adapt ranking functions in web search, require a large volume of training data. A traditional way of generating training examp...
Biomedical researchers rely on keyword-based search engines to retrieve superficially relevant documents, from which they must filter out irrelevant information manually. Hence, t...
Richard Tzong-Han Tsai, Hong-Jie Dai, Hsi-Chuan Hu...
Though children frequently use web search engines to learn, interact, and be entertained, modern web search engines are poorly suited to children's needs, requiring relativel...
In this paper, we present a novel content-based image error detection and error concealment algorithm to improve the image quality degraded during its transmission over wireless c...
An approach of employing Information Visualisation to develop systems that facilitate instructors in web-based distance learning is presented here. The paper describes a tool, cal...