In this paper, we propose a novel top-k learning to rank framework, which involves labeling strategy, ranking model and evaluation measure. The motivation comes from the difficul...
Through as an important part of service-oriented system architecture, service retrieval receives much attention from industry and academia and many methods have been proposed, the...
Bin Tang, Leqiu Qian, Ruzhi Xu, Yunjiao Xue, Hui T...
In this paper we propose a novel algorithm for multi-task learning with boosted decision trees. We learn several different learning tasks with a joint model, explicitly addressing...
Olivier Chapelle, Pannagadatta K. Shivaswamy, Srin...
Though skyline queries already have claimed their place in retrieval over central databases, their application in Web information systems up to now was impossible due to the distri...
In this paper we propose an attribute retrieval approach which extracts and ranks attributes from Web tables. We use simple heuristics to filter out improbable attributes and we ...