Toward An Adaptive Web: The State of the Art and Science
Mark Kilfoil, Ali Akbar Ghorbani, Weikang Xing, Lei Zhu, Jianguo Lü, Jinzhe Zhang · 2003
As the World Wide Web matures, it makes leaps forward in both size and complexity. In this expanding environment, the needs and interests of individual users become buried under the sheer weight of possible viewing choices. To counter this, there has been a rise in research in adaptive websites, a combination of data mining, machine learning, user modelling, Human Computer Interaction (HCI), optimization theory and graph theory which seeks to sift through the tides of possible pages to provide users with a high-quality stream of information. This paper provides a description of adaptive website research, including the goals aimed at, the challenges discovered and the approaches to solutions.