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In today’s simulated path, global and customized music recommendation systems are crucial for reducing the deluge of alternatives, increasing person involvement, and growing a stronger bond between track libraries and their respective listeners. With the purpose of suggestion, a better user enjoys and lives aggressively in the virtual tune marketplace, it is vital to fix this predicament. The biggest obstacle is coming up with a solution that can accurately record all the unique aspects of musical preferences, such as style, environment, speed, and cultural attitude. For the cause of addressing those problems, in this paper, the Fuzzy Convolutional Generative Adversarial Network (FC-GAN) is a modern method that generates customized song recommendations with the aid of combining the strength of deep gaining knowledge of with fuzzy logic. The FC-GAN version makes use of convolutional neural networks (CNNs) to get a whole lot of traits out of audio samples, and fuzzy logic makes it better at taking pictures the subjective nature of people’s adjust preferences. With the use of an adverse education system, FC-GAN is capable of closely ensembling user possibilities with its music embeddings. In the track enterprise and beyond, the counseled FC-GAN structure has first-rate promise for diverse packages. It integrates without problems with existing track streaming systems to provide customized hints, which reinforces user engagement, retention, and happiness. In addition, FC-GAN can make it easier to compose, remix, and generate tune, giving manufacturers and artists extra ingenious tools to specific themselves creatively. By making use of melody datasets and user interaction logs from the actual international, each folks show that FC-GAN can offer extra accurate, diverse, and surprising personalized track recommendations. In addition, the builders validate FC-GAN’s practicality by checking out its scalability, computational efficiency, and resilience throughout distinctive person demographics and musical genres.

This paper addresses the issue of automatic service composition. We first develop a framework in which the exported behavior of a service is described in terms of a so-called execution tree, that is an abstraction for its possible executions. We then study the case in which such exported behavior (i.e. the execution tree of the service) can be represented by a finite state machine (i.e. finite state transition system). In this specific setting, we devise sound, complete and terminating techniques both to check for the existence of a composition, and to return a composition, if one exists. We also analyze the computational complexity of the proposed algorithms. Finally, we present an open source prototype tool, called (E-Service Composer), that implements our composition technique. To the best of our knowledge, our work is the first attempt to provide a provably correct technique for the automatic synthesis of service composition, in a framework where the behavior of services is explicitly specified.

Traditional middleware is usually developed on monolithic and non-evolving entities, resulting in a lack of flexibility and interoperability. Among current architectures, Service Oriented Architectures aim to easily develop more adaptable Information Systems. Most often, Web Service is the fitted technical solution which provides the required loose coupling to achieve such architectures. However, there is still much to be done in order to obtain a genuinely flawless Web Service, and current market implementations still do not provide adaptable Web Service behavior depending on the service contract. In this paper, we present our two last years of work toward a more adaptable SOA. We proposed two approaches that consider Aspect Oriented Programming (AOP) as a new design solution for Web Services. The two approaches enable us to glue new non-functional behaviors to a Web Service without going back to modify, recompile, retest and finally redeploy it.

Nowadays, Enterprise Application Integration (EAI) constitutes a real and growing need for most of enterprises, particularly for large and dynamic ones. Actually, the major problem of EAI is the heterogeneity problem, especially the semantic one. This latter is not correctly addressed by today's integration solutions, which focus mainly on syntactical integration. Dealing with the semantic aspect, which will certainly promote EAI by providing it more consistency and robustness, needs some appropriate principles such as ontology urbanization and mediation. These latter that constitute the main focus of this paper aim to favor the semantic application integration allowing to correctly capture, structure, master and reason upon the semantics, which currently constitutes a big challenge for several enterprises that are in quest of more flexibility and manageability.

Nowadays, business collaborations have to be highly dynamic and flexible to allow companies to operate efficiently and effectively in complex and volatile markets. To increase the business agility of service consumers, it is fundamental that service providers enhance the visibility of parts of their collaborative processes. Service providers are required to release both the process structures of the services offered and their status during execution. To further increase the flexibility of business collaborations, certain control over the process execution has to be offered to service consumers. In this paper, we present a framework for the support of process control in cross-organizational settings. We specify the control primitives that can be used to exert control on activities and processes before, during and after their executions. These primitives empower service consumers to postpone activity and process executions, bypass minor activities, repeat their executions, etc. We describe an approach to the support of these control primitives by service providers. We demonstrate the application of our framework with a case study from the healthcare domain. A proof-of-concept prototype implementation based on Web service technology is presented.

Bioinformatics plays an important role for in the research and development of the life science and biotechnology. This paper intends to give an overview of the activities of bioinformatics service, research and education at the Center of Bioinformatics, Peking University; the national node of the European Molecular Biology Network and the Asia Pacific Bioinformatics Network.

This study investigated the relationship between online and in-store shopping for airline service employees by using a quantitative survey method. Purpose sampling was used. This study found that the frequency of online purchases by pilots before and post-pandemic was significantly higher than that by flight attendants. Post-pandemic, the frequency of flight attendants shopping in-store was significantly higher than that of pilots. The frequency of online shopping before-pandemic positively affected the frequency of in-store shopping before-pandemic. The frequency of online shopping post-pandemic negatively affected the frequency of in-store shopping post-pandemic. The results found that online shopping affects users’ willingness to purchase in stores, and suggested that online shopping service providers should build user-friendly and easy-to-access systems. The findings can help retail marketers effectively prioritize the benefits of online shopping, which considerably affects user’s desire to use the Internet.

A common business conceptual framework is indispensable for achieving the necessary level of collaboration among interlinked business players for planning the timeframe of modern multi-layered technology-intensive services. This paper proposes a service conceptual framework using a hierarchical classification with five needs levels based on Maslow's needs theory and three customer segments. This framework was used as a basis for wide intra-industry collaboration towards performing the roadmappings to be shared for services using RF identification technology. Action research demonstrated the framework's viability for enhancing the intellectual productivity of an interdisciplinary team of collaborating business planners and engineers.

The Philippines is among the emerging markets in the world. Along with China, the Philippines attracts international enterprises seeking to establish a presence in Asia. This study examines small/medium enterprises (SMEs) management and employee perceptions of customer service on a number of dimensions. The results suggest that managers and employees in the Philippines behave in similar ways to those in Western countries, but there are differences, probably related to cultural characteristics. As the Philippine market becomes more involved with global business, the importance of service quality increases. The results can be valuable in the formulation of training, sales and marketing, business development, human resources management, and strategic planning. Implications for practice are discussed.

The purpose of this study is to analyze how innovation is leveraged in a commoditized service industry. Focusing on the passenger airline industry, we describe the characteristics of commoditized industries and show how the airline industry fulfills these criteria. Based on a sample of 30 airlines, we detect patterns of innovations and explore how airlines utilize innovation in the various categories. We present two case studies to demonstrate different approaches to innovation. Based on these findings, we develop a framework that suggests innovation priorities for different business models. Finally, we propose four levers to expand the core service offering and to successfully position an airline in a commoditized market environment.

This paper examines diverse service innovations created with service robots in living labs that are an under researched and growing area of scholarly research. In particular, there is a need for research that connects robotics with welfare and health care living labs. This study focusses on the nexus between the different types of robots and services in living labs. It contributes to the literatures of open innovation and living labs by developing a conceptual framework for analysing service innovations enabled by robotics in eight living lab cases. The framework distinguishes four archetypes of service innovations in health and welfare living labs: (i) socialising, (ii) aiding, (iii) entertaining, and (iv) personal assisting. The paper concludes with implications to theory and practice, and suggests directions for future research.

This paper addresses semantic search of Web services using natural language processing. First we survey various existing approaches, focusing on the fact that the expensive costs of current semantic annotation frameworks result in limited use of semantic search for large scale applications. We then propose a service search framework based on the vector space model to combine the traditional frequency weighted term-document matrix, the syntactical information extracted from a lexical database and a dependency grammar parser. In particular, instead of using terms as the rows in a term-document matrix, we propose using synsets from WordNet to distinguish different meanings of a word under different contexts as well as clustering different words with similar meanings. Also based on the characteristics of Web services descriptions, we propose an approach to identifying semantically important terms to adjust weightings. Our experiments show that our approach achieves its goal well.

Science by definition builds on previous knowledge and therefore the main goal of this study is to systematically evaluate the history and current status of the open service innovation (OSI) research by utilizing popularity-based and impact based scientometrics methods. The results grounded on ISI Web of Science (WoS), Scopus and Google Scholar data sources reveals that OSI research domain is still infancy and so far there are only handful authors and publications which have embraced the OSI term. However, the number of publications and authors focusing on open innovation (OI) in conjointly with services or service innovation (SI) is much greater. Albeit, there is a latent potential for OSI studies, but a need for a new OSI term remains questionable especially when interest towards OI and SI have recently leveled. A clear differences between WoS, Scopus and Google Scholar as a data source was identified. Therefore, the further studies focusing on innovation management execute triangulation in data source selection.

The success of organizations, in the era of interconnected world, will depend upon their ability to create robust and efficient software realizations for open distributed systems. Such systems, due to their nature, will require combining distributed objects (or components) adhering to different models. In this article, we present an overview of a meta-model, which allows a seamless integration of heterogeneous software components.

Software architecture model play an important role in improving the quality of software products. A software architecture model is used for defining software. In this paper, an approach to modeling multi-level software architecture based on SOA is put forward. Firstly, four important properties of SOA are discussed. Secondly, based on Workflow-net, the formal definition of service is proposed. Finally, three rules to model composite service are introduced. The software model based on SOA lays the foundation for analyzing and reasoning it mathematically.