Most current theories about collective cognitive activities in limited groups apply to structurally closed co-operative situations Here we propose to work in the framework of inte...
Recommender systems have been widely advocated as a way of coping with the problem of information overload for knowledge workers. Given this, multiple recommendation methods have ...
Effective human teams often benefit from proactivity through members’ capability of anticipating different needs of teammates. In this paper, we focus on three issues related...
John Yen, Xiaocong Fan, Shuang Sun, Rui Wang, Cong...
Most of supervised learning algorithms assume the stability of the target concept over time. Nevertheless in many real-user modeling systems, where the data is collected over an ex...
Abstract. A study on a 220-piece corpus (baroque, classical, romantic, 12tone, jazz, rock, DNA strings, and random music) reveals that aesthetically pleasing music may be describab...
Bill Z. Manaris, Dallas Vaughan, Christopher Wagne...