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There is a bottleneck of low efficiency in transmitting large amounts of data in service-oriented architecture, SOA. Based on distributed architecture, a query solution of modular classification combining with web services is proposed to resolve the problem in this paper. In the solution, multi-threading is used to obtain respective data from corresponding distributed database. The solution increases...
Mobile search is one of the emerging and promising fields for researchers and practitioners. Nowadays, in consideration of screen size and navigability, current PC web search engines and information retrieval approaches may hardly be transplanted onto mobile search platforms directly. This paper presents an efficient approach to retrieving a compact set of differentiated documents which is information...
Real-time pattern matching over event streams has gained much more attention recently due to the analytical capability demanded in many operation-critical applications such as credit card fraud detection, algorithmic stock trading and RFID tracking. One of the common but important requirements in the above-mentioned applications is fast response. Usually, there are a large number of pattern queries...
MaxStream is a federated stream processing system that seamlessly integrates multiple autonomous and heterogeneous Stream Processing Engines (SPEs) and databases. In this paper, we propose to demonstrate the key features of MaxStream using two application scenarios, namely the Sales Map & Spikes business monitoring scenario and the Linear Road Benchmark, each with a different set of requirements...
In this paper a novel linear regression model is proposed to mine related queries from query logs. Three types of association relationships between queries are identified and leveraged in our model, which include query session co-occurence, URL-clicked sharing and text similarity. Previous work directly applies part of these relations, which may be largely affected by the noise in query logs, such...
This paper presents a novel multi-document summarization approach based on personalized pagerank (PPRSum). In this algorithm, we uniformly integrate various kinds of information in the corpus. At first, we train a salience model of sentence global features based on Naive Bayes Model. Secondly, we generate a relevance model for each corpus utilizing the query of it. Then, we compute the personalized...
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