Enterprise mashups (EMs) are a new technology that enables the automation of situational needs of knowledge workers. EMs imply a new development paradigm based on the peer product...
Volker Hoyer, Katarina Stanoevska-Slabeva, Simone ...
Recommendation Systems have become an important tool to cope with the information overload problem by acquiring data about the user behavior. After tracing the user behavior, throu...
Byron Leite Dantas Bezerra, Francisco de Assis Ten...
Based on the observation that it is relatively easier for users to generate several good transfer functions (TFs) for different features of volumetric data, we propose TF fusing, ...
Yingcai Wu, Huamin Qu, Hong Zhou, Ming-Yuen Cha...
Abstract—Design applications, e.g., CAD or media production, often require multiple users to work cooperatively on shared data, e.g., XML documents. Using explicit transactions i...
With the growth of digital music, the development of music recommendation is helpful for users. The existing recommendation approaches are based on the users’ preference on musi...