This paper describes an approach to the feature location problem for distributed systems, that is, to the problem of locating which code components are important in providing a pa...
Learning to rank is a new statistical learning technology on creating a ranking model for sorting objects. The technology has been successfully applied to web search, and is becom...
Tao Qin, Tie-Yan Liu, Xu-Dong Zhang, De-Sheng Wang...
Online image repositories such as Flickr contain hundreds of millions of images and are growing quickly. Along with that the needs for supporting indexing, searching and browsing ...
In this paper, we will propose a novel semi-automatic annotation scheme for video semantic classification. It is well known that the large gap between high-level semantics and low...
Personalization has been deemed one of the major challenges in information retrieval with a significant potential for providing better search experience to individual users. Espec...
Julia Luxenburger, Shady Elbassuoni, Gerhard Weiku...