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    Please use this identifier to cite or link to this item: http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/78829


    Title: A Context-aware Recommender System for Web Service Composition
    Authors: Chen, Duen-kai
    Contributors: 淡江大學資訊創新與科技學系
    Keywords: Proactive;Recommender system;Web Service Composition
    Date: 2012-07
    Issue Date: 2012-10-29 13:28:53 (UTC+8)
    Publisher: Institute of Electrical and Electronics Engineers
    Abstract: This study explored the use of context-aware recommender system to facilitate web service composition. The needs for composition of existing web services to generate functionality for users are increasing. And an intelligent framework is needed to alleviate users' burden to discover, select, invoke and combine web services. In this study, we focus on using context-aware recommender system to provide users with the most appropriate web services composition. The concept of context-aware collaborative filtering is used here to learn and predict user preferences, and based on this information, to compose necessary web services to achieve user request. We provide a restaurant recommender system prototype for the restaurant search scenario to demonstrate how proposed architecture works.
    Relation: Proceeding of The Eighth International Conference on Intelligent Information Hiding and Multimedia Signal Processing, pp.227-229
    DOI: 10.1109/IIH-MSP.2012.61
    Appears in Collections:[資訊創新與科技學系] 會議論文

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