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Titlebook: Web and Big Data; First International Lei Chen,Christian S. Jensen,Xiang Lian Conference proceedings 2017 Springer International Publishin

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Learning Intermediary Category Labels for Personal Recommendationed to be understand relationships between products in order to surface recommendations that are relevant to a given context. Nevertheless, the categories as intermediary are labels for not only attributes of products but also preference characteristics of people, is ignored. Here we propose a framew
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Skyline-Based Recommendation Considering User Preferencestems, are based not only on user preferences but also cost performance. For these kinds of applications, We first extract items with good cost performance and then identify items that users prefer, which reduce the computational cost of the online process. Based on the results of our preliminary exp
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Integrating Feedback-Based Semantic Evidence to Enhance Retrieval Effectiveness for Clinical Decisioven patient records, in order to take the best care of their patients. Most of the existing CDS methods do not sufficiently consider the semantic evidence, hence the potential in improving the performance in biomedical articles retrieval. This paper proposes a novel feedback-based approach which con
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Reordering Transaction Execution to Boost High Frequency Trading Applicationsent advance of portfolio selection in HFT market generates more profit, it yields much contended OLTP workloads. Featuring in exploiting the abundant parallelism, transaction pipeline, the state-of-the-art concurrency control (CC) mechanism, however suffers from limited concurrency confronted with H
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Reordering Transaction Execution to Boost High Frequency Trading Applicationsent advance of portfolio selection in HFT market generates more profit, it yields much contended OLTP workloads. Featuring in exploiting the abundant parallelism, transaction pipeline, the state-of-the-art concurrency control (CC) mechanism, however suffers from limited concurrency confronted with H
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