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Nowadays, cloud applications are developed in Platforms as a Service following the PaaS architecture imposed by several providers. We find in the literature some works describing frameworks and architectures for cloud software development, but there is a lack of a generic methodology which covers the whole application development lifecycle. Our work fits into the perspective of defining a generic...
In the absence of legal authorities and enforcement mechanisms in open e-marketplaces, it is extremely challenging for a user to validate the quality of opinions (i.e. Ratings and reviews) of products or services provided by other users (referred as advisers). Rationally, advisers tend to be reluctant to share their truthful experience with others. In this paper, we propose an adaptive incentive mechanism,...
This paper addresses the problem of automated agent-based one-to-many negotiation for multi-issue service pro-curement and presents a robust negotiation mechanism to enhance the procurement process. Software agents represent service sellers and service buyers. Agents are assumed to have goals and constraints when buying and selling services. Automating the service procurement process can provide fast...
The growing number of services available within social applications (viz. Social networks) raises a new and challenging search issue: selecting desired services from social networks. Traditional discovery and selection approaches, which are registry-based (e.g., UDDI, ebXML), have manifested their limitations as they often fall behind users' expectations. This is because registries fail to (i) take...
We present a new recommender system developed for the Russian interactive radio network FMhost based on a previously proposed model. The underlying model combines a collaborative user-based approach with information from tags of listened tracks in order to match user and radio station profiles. It follows an adaptive online learning strategy based on the user history. We compare the proposed algorithms...
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