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Impact and Potential of User Profiles Used for Distributed Query Processing Based on Literature Services

机译:用户资料对基于文献服务的分布式查询处理的影响和潜力

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摘要

Applying meta search systems is a suitable method to support the user if there are many different services. Due to information splitting strategies of literature services existing meta systems either provide minimal integration or slow response times. The proposed approach combines techniques of personalization and query optimization in order to satisfy the user's demand for fast and comprehensive results. This approach deploys a new personalization technique, called generic search strategies. The designed query language for meta search systems contains soft conditions and a top k operator in order to create the potential for query optimization. For validation, this approach employs experiments to evaluate and compare different query processing strategies. Finally, these experiments will permit to identify the contribution of certain parts of user profiles to query optimization.
机译:如果存在许多不同的服务,则应用元搜索系统是支持用户的合适方法。由于文献服务的信息分裂策略,现有的元系统提供的集成最少或响应时间很短。所提出的方法结合了个性化和查询优化技术,以满足用户对快速,全面结果的需求。这种方法采用了一种新的个性化技术,称为通用搜索策略。为元搜索系统设计的查询语言包含软条件和前k个运算符,以便为查询优化创造潜力。为了进行验证,此方法采用实验来评估和比较不同的查询处理策略。最后,这些实验将允许确定用户配置文件的某些部分对查询优化的贡献。

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