This paper explores two classes of model adaptation methods for Web search ranking: Model Interpolation and error-driven learning approaches based on a boosting algorithm. The res...
Jianfeng Gao, Qiang Wu, Chris Burges, Krysta Marie...
An unstructured peer network application was proposed to address the query forwarding problem of distributed search engines and scalability limitations of centralized search engin...
The increasing heterogeneity of mobile client devices used to access the Web requires run-time adaptations of the Web contents. A significant trend in these content adaptation se...
In this paper we present a novel method for desktop-to-mobile adaptation. The solution also supports end-users in customizing multi-device ubiquitous user interfaces. In particular...
Abstract. In this paper we present the use of adaptation techniques to dynamically generate adaptive collaborative Web-based courses. These courses are generated at runtime by sele...