Titlebook: Database Systems for Advanced Applications; 22nd International C Selçuk Candan,Lei Chen,Wen Hua Conference proceedings 2017 Springer Intern

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Beat J. Meyer,Lina Badimon,James H. Chesebrostand the predilections and opinions of an individual user, and help news publishers to provide more relevant services. Neural network methods have achieved promising results, but still have challenges in the field of emotion tagging. Firstly, these methods regard the whole document as a stream or b

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Ambulatory Blood Pressure Monitoringng for related content may be a tedious process. Formulating an effective search query is not a trivial task. And due to the often small size of smart phone screens, instead of typing, users always prefer click-based operations to retrieve related content. To address these issues, we introduce a new

具体

Hypertension and Aortic Mechanicstion-like queries. Among these queries, “What” is one of the biggest segments. Since results excerpted from Wikipedia often have a coverage problem, some models begin to rank definitions that are extracted from web documents, including Ranking SVM and Maximum Entropy Context Model. But they only ado

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Sarah-Vaughan Brakman,Darlene Fozard Weaver based on the beginning of the currently input character sequence (i.e. prefix). However, in many real applications, one entity often has synonyms or abbreviations. For example, “.” is an abbreviation of “.”. In this paper, we study a novel type of auto-completion by using synonyms and abbreviations

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978-3-319-55698-7Springer International Publishing AG 2017