Update summarization aims to create a summary over a topic-related multi-document dataset based on the assumption that the user has already read a set of earlier documents of the ...
In this paper we investigate the task of Entity Ranking on the Web. Searchers looking for entities are arguably better served by presenting a ranked list of entities directly, rat...
Rianne Kaptein, Pavel Serdyukov, Arjen P. de Vries...
Aslam, Pavlu, and Savell [3] introduced the Hedge algorithm for metasearch which effectively combines the ranked lists of documents returned by multiple retrieval systems in resp...
This paper presents a transductive approach to learn ranking functions for extractive multi-document summarization. At the first stage, the proposed approach identifies topic th...
In recent years, folksonomy becomes a hot topic in many research fields such as complex systems, information retrieval, and recommending systems. It is essential to study the seman...
Kaikuo Xu, Yu Chen, Yexi Jiang, Rong Tang, Yintian...