We describe an evaluation of result set filtering techniques for providing ultra-high precision in the task of presenting related news for general web queries. In this task, the n...
Steven M. Beitzel, Eric C. Jensen, Abdur Chowdhury...
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...
Recent years have seen a growing interest in research into patent retrieval. One of the key issues in conducting information retrieval (IR) research is meaningful evaluation of the...
Search and recommendation systems must include contextual information to effectively model users’ interests. In this paper, we present a systematic study of the effectiveness of...
Web search components such as ranking and query suggestions analyze the user data provided in query and click logs. While this data is easy to collect and provides information abo...
Jeff Huang, Ryen W. White, Georg Buscher, Kuansan ...