Vibes: A Platform-Centric Approach to Building Recommender Systems

IEEE Data Eng. Bull.(2008)

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摘要
With automated composition we mean generating an executable process that satisfies a given composition requirements by communicating with a set of existing Web services. Several approaches have been proposed to tackle this problem. However, most of them either omit or oversimplify important aspects of the Web service composition problem. The driving idea of the approach we’re presenting in this paper is to overcome these limitations, in order to deal with real world composition problems. The ASTRO approach is able to cope with complex control and data flows, i.e., with Web services exposing complex protocols and exchanging structured data, and with composition requirements expressing constraints not only on the service interactions but also on the exchanged data. The ASTRO approach has been implemented and evaluated on real world composition domains.
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recommender system
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