Online auctions have become extremely popular in recent years. Ability to predict winning bid prices accurately can help bidders to maximize their profit. This paper proposes a nu...
—The growing popularity of social media in recent years has resulted in the creation of an enormous amount of user-developed content. While information is readily available, ther...
This paper proposes a novel, unified, and systematic approach to combine collaborative and content-based filtering for ranking and user preference prediction. The framework inco...
Collaborative tagging used in online social content systems is naturally characterized by many synonyms, causing low precision retrieval. We propose a mechanism based on user pref...
Maarten Clements, Arjen P. de Vries, Marcel J. T. ...
The need to provide performance guarantee in high performance servers has long been neglected. Providing performance guarantee in current and future servers is difficult because ...