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Personalized Recommendation Services Based on Service-Oriented Architecture
2006 IEEE Asia-Pacific Conference on Services Computing (APSCC'06), 2006Recommendation systems are special personalization tools that help users to find interesting information and services. This paper proposes a personalized recommendation system based on service-oriented architectures (SOAs). It introduces service-oriented recommendation technologies such as recommendation engines, data mining, content-based approach and
Quan Wen, Jianmin He
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Integrated Recommendation for Public Cultural Service
2017 IEEE Third International Conference on Multimedia Big Data (BigMM), 2017Recent years recommender systems have been used in the public cultural services to provide personalized services. The single recommendation methods only cover the limited areas of interest of users. To address this issue, this paper proposes an integrated recommender system for cross-domain heterogeneous recommendations of the public cultural resources.
Yi Yang 0019 +4 more
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A Novel Approach for Web Service Recommendation
Proceedings of the Second International Conference on Information and Communication Technology for Competitive Strategies, 2016Businesses are increasingly using web services to expose and exchange data over the web. Last few years have viewed tremendous growth in web service as a technology for inter application logic sharing and data retrieval. As web services have been able to provide simple solutions of very generic business problems it has got much higher acceptance and ...
Priyanshi Barod +2 more
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Software Service Recommendation Using Context
2015 4th Eastern European Regional Conference on the Engineering of Computer Based Systems, 2015Nowadays a great number of different software services are available for usage. These services have different attributes and proper selection of software service for solving given problem is very difficult and non-trivial task. This paper focuses on recommendation of software services.
Ivan Marto, Viera Rozinajová
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An Information Recommendation Agent on Microblogging Service
2011In this paper, we introduce an agent for recommending information to a user on Twitter, which is one of the most popular microblogging services. For recommending sufficient information for a user, it is important to extract automatically user's interest with accuracy and to collect new information which interests and attracts the user.
Taketoshi Ushiama, Tomoya Eguchi
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A systematic review of rehabilitation and exercise recommendations in oncology guidelines
Ca-A Cancer Journal for Clinicians, 2021Julie K. Silver +2 more
exaly
A Personalized Service Recommendation Algorithm for Service Functionality
2014 Second International Conference on Advanced Cloud and Big Data, 2014Wei Li 0017, Di Hu, Junzhou Luo
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