We analyze the application of ensemble learning to recommender systems on the Netflix Prize dataset. For our analysis we use a set of diverse state-of-the-art collaborative filt...
Abstract. There is an urgent need for sound approaches to integrative and collaborative analysis of large, autonomous (and hence, inevitably semantically heterogeneous) data source...
Doina Caragea, Jun Zhang 0002, Jyotishman Pathak, ...
Conventional object-oriented analysis delivers a business object model, which is transformed during design into collaborating class clusters which implement the business model...
True multi-user, multimodal interaction over a digital table lets co-located people simultaneously gesture and speak commands to control an application. We explore this design spa...
Edward Tse, Saul Greenberg, Chia Shen, Clifton For...
One difficulty in software maintenance is that the relationship between observed program behavior and source code is not always clear. In this paper we are concerned specifically ...