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Learning Recommendation System for Automated Service Composition. <i>Proceedings of the 10th IEEE International Conference on Services Computing (SCC)</i>, 97–104.","bibtex":"@inproceedings{Jungmann_Kleinjohann_2013, title={Learning Recommendation System for Automated Service Composition}, booktitle={Proceedings of the 10th IEEE International Conference on Services Computing (SCC)}, publisher={ IEEE Computer Society}, author={Jungmann, Alexander and Kleinjohann, Bernd}, year={2013}, pages={97–104} }","ama":"Jungmann A, Kleinjohann B. Learning Recommendation System for Automated Service Composition. In: <i>Proceedings of the 10th IEEE International Conference on Services Computing (SCC)</i>.  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If composition requests recur over time and if evaluations of composition results are fed back, a proper recommendation strategy can evolve over time through learning from experience. In this paper, we describe our general idea of modeling this service composition and recommendation process as Markov Decision Process and of solving it by means of Reinforcement Learning. A case study serves as proof of concept."}],"date_created":"2021-10-04T11:34:09Z","department":[{"_id":"672"}],"type":"conference","conference":{"location":"27. Jun. - 2. 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Published online 2013:284-297.","bibtex":"@article{Jungmann_Kleinjohann_Kleinjohann_2013, title={Learning Service Recommendations}, journal={International Journal of Business Process Integration and Management 6(4)}, author={Jungmann, Alexander and Kleinjohann, Bernd and Kleinjohann, Lisa}, year={2013}, pages={284–297} }","mla":"Jungmann, Alexander, et al. “Learning Service Recommendations.” <i>International Journal of Business Process Integration and Management 6(4)</i>, 2013, pp. 284–97.","short":"A. Jungmann, B. Kleinjohann, L. Kleinjohann, International Journal of Business Process Integration and Management 6(4) (2013) 284–297.","chicago":"Jungmann, Alexander, Bernd Kleinjohann, and Lisa Kleinjohann. “Learning Service Recommendations.” <i>International Journal of Business Process Integration and Management 6(4)</i>, 2013, 284–97.","apa":"Jungmann, A., Kleinjohann, B., &#38; Kleinjohann, L. (2013). Learning Service Recommendations. <i>International Journal of Business Process Integration and Management 6(4)</i>, 284–297.","ieee":"A. Jungmann, B. Kleinjohann, and L. Kleinjohann, “Learning Service Recommendations,” <i>International Journal of Business Process Integration and Management 6(4)</i>, pp. 284–297, 2013."},"abstract":[{"lang":"eng","text":"The as a service paradigm reflects the fundamental idea of providing basic coherent functionality in terms of components that can be utilised on demand. These so-called services may also be interconnected in order to provide more complex functionality. Automation of this service composition process is indeed a formidable challenge. In our work, we are addressing this challenge by decomposing service composition into sequential decision making steps. Each step is supported by a recommendation mechanism. If composition requests recur over time and if evaluations of composition results are fed back, a proper recommendation strategy can evolve over time through learning from experience. In this paper, we describe our approach of modelling this service composition and recommendation process as Markov decision process and of solving it by means of reinforcement learning. A case study serves as proof of concept."}],"date_created":"2021-10-07T08:47:56Z","type":"journal_article","department":[{"_id":"672"}],"year":"2013","status":"public","title":"Learning Service Recommendations","author":[{"full_name":"Jungmann, Alexander","last_name":"Jungmann","first_name":"Alexander"},{"full_name":"Kleinjohann, Bernd","first_name":"Bernd","last_name":"Kleinjohann"},{"id":"15588","full_name":"Kleinjohann, Lisa","first_name":"Lisa","last_name":"Kleinjohann"}],"date_updated":"2022-01-06T06:57:08Z","page":"284-297","language":[{"iso":"eng"}],"_id":"25618","user_id":"21240"}]