The ranking problem appears in many areas of study such as customer rating, social science, economics, and information retrieval. Ranking can be formulated as a classification pro...
RankBoost is a recently proposed algorithm for learning ranking functions. It is simple to implement and has strong justifications from computational learning theory. We describe...
Raj D. Iyer, David D. Lewis, Robert E. Schapire, Y...
The paper presents a semi-automated technique for feature location in source code. The technique is based on combining information from two different sources: an execution trace, ...
As context is acknowledged as an important factor that can affect users’ preferences, many researchers have worked on improving the quality of recommender systems by utilizing ...
Abstract. We implemented a baseline approach to why-question answering based on paragraph retrieval. Our implementation incorporates the QAP ranking algorithm with addition of a nu...