An effective method for clustering-based web service recommendation

Normally web services are classified by the quality of services; however, the term quality is not absolute and defined relatively. The quality of web services is measured or derived using various parameters like reliability, scalability, flexibility, and availability. The limitation of the methods employing these parameters is that sometimes they are producing similar web services in recommendation lists. To address this research problem, the novel improved clustering-based web service recommendation method is proposed in this paper. This approach is mainly dealing with producing diversity in the results of web service recommendations. In this method, functional interest, quality of service (QoS) preference, and diversity features are combined to produce a unique recommendation list of web services to end-users. To produce the unique recommendation results, we propose a varied web service classification order that is clustering-based on web services’ functional relevance such as non-useful pertinence, recorded client intrigue importance, and potential client intrigue significance. Additionally, to further improve the performance of this approach, we designed web service graph construction, an algorithm of various widths clustering. This approach serves to enhance the exceptional quality, that is, the accuracy of web service recommendation outcomes. The performance of this method was implemented and evaluated against existing systems for precision, and f-score performance metrics, using the research datasets.

Telemedicine as a Means to an End, Not an End in Itself

Telemedicine (TM)—the management of disease at a distance—has potential usefulness for patients with advanced respiratory disease. Underscoring this potential is the dramatic expansion of its applications in clinical medicine. However, since clinical studies testing this intervention often provide heterogeneous results, its role in the medical management of respiratory disorders remains inconclusive. A major problem in establishing TM’s effectiveness is that it is not a single intervention; rather, it includes a number of divergent diagnostic and therapeutic modalities—and each must be tested separately. Reflecting the discord between the need for further documentation of its approaches and effectiveness and its rapid utilization without this needed information, a major challenge is the lack of international guidelines for its integration, regulation, operational plans, and guidance for professionals. Tailored TM, with increased flexibility to address differing healthcare contexts, has the potential to improve access to and quality of services while reducing costs and direct input by health professionals. We should view TM as a tool to aid healthcare professionals in managing their patients with respiratory diseases rather than as a stand-alone substitute to traditional medical care. As such, TM is a means rather than an end.

PACAM: A Pairwise-Allocated Strategy and Capability Average Matrix-Based Task Scheduling Approach for Edge Computing

With the development of the smart Internet of Things (IoT), an increasing number of tasks are deployed on the edge of the network. Considering the substantially limited processing capability of IoT devices, task scheduling as an effective solution offers low latency and flexible computation to improve the system performance and increase the quality of services. However, limited computing resources make it challenging to assign the right tasks to the right devices at the edge of the network. To this end, we propose a polynomial-time solution, which consists of three steps, i.e., identifying available devices, estimating device quantity, and searching for feasible schedules. In order to shrink the number of potential schedules, we present a pairwise-allocated strategy (PA). Based on these, a capability average matrix (CAM)-based index is designed to further boost efficiency. In addition, we evaluate the schedules by the technique for order preference by similarity to an ideal solution (TOPSIS). Extensive experimental evaluation using both real and synthetic datasets demonstrates the efficiency and effectiveness of our proposed approach.

Modelo pherffo: avaliação da qualidade em instituição de ensino superior

Esta pesquisa tem como objetivo apresentar resumidamente os itens metodológicos utilizados para elaboração de um modelo de avaliação da qualidade dos serviços prestados pelas instituições de ensino superior, denominado PHERFFO (Performance Higher Education Poffo), a qual trata-se de uma continuidade à pesquisa de Poffo e Verdinelli (2017). Neste sentido, para a construção e validação do modelo de avaliação da qualidade de serviços educacionais buscou-se, primeiramente, traçar uma revisão de literatura baseada em teorias já validadas por diversos autores, como Parasuraman, Berry e Zeithaml (1985, 1988), Cronin e Taylor (1992), Abdullah (2006), Anil e Icli (2014), Dias Sobrinho (2010) e os instrumentos de avaliação do MEC/INEP, dentre outros estudos. Como resultado foi proposto um modelo que se divide em nove dimensões: Reputação Mercadológica, Segurança, Atendimento Administrativo, Relacionamento Interpessoal, Infraestrutura, Oportunidade de Carreira, Aspectos Educacionais, Aspectos Acadêmicos e Transformação Social. Conclui-se que traçar um panorama confiável, através de um modelo de avaliação da qualidade do serviço entregue, é o primeiro passo para aprofundar as discussões acerca da qualidade do Ensino Superior brasileiro. This research aims to briefly present the methodological items used to develop a model for evaluating the quality of services provided by higher education institutions, called PHERFFO (Performance Higher Education Poffo), which is a continuation of Poffo's research and Verdinelli (2017). In this sense, for the construction and validation of the model for evaluating the quality of educational services, we sought, firstly, to draw up a literature review based on theories already validated by several authors, such as Parasuraman, Berry and Zeithaml (1985, 1988), Cronin and Taylor (1992), Abdullah (2006), Anil and Icli (2014), Dias Sobrinho (2010) and the MEC/INEP assessment instruments, among other studies. As a result, a model was proposed that is divided into nine dimensions: Marketing Reputation, Security, Administrative Service, Interpersonal Relationship, Infrastructure, Career Opportunity, Educational Aspects, Academic Aspects and Social Transformation. It is concluded that drawing a reliable panorama, through an evaluation model of the quality of the service delivered, is the first step to deepen the discussions about the quality of Brazilian Higher Education.

The Impact Of Adherence To International Auditing Standards In Increasing The Quality Of Audit Services A field study on external audit offices

The study aimed to identify the impact of adherence to the general standards of international auditing and increase the quality of audit services. Where the problem of the study was the collapse of many companies and economic institutions in recent years to filing complaints and judicial disputes against audit offices due to the poor quality of services provided by audit offices, which affected the reputation of the audit profession. Individuals to learn more effectively and use these strategies increased the quality of services provided, commitment to transparency and independence increased investor confidence and raised the level of service provided to the client, the study recommended developing the personal qualities necessary to carry out professional and technical duties throughout the auditor’s working life.

Conceptualizing the Use of Artificial Intelligence in Customer Relationship Management and Quality of Services

In this chapter, the authors have conceptualized a hypothetical comprehensive model of AI, CRM, and quality of services by banks given the underlying pull and push factors that determine the extent of AI adoption by the banks. This chapter shall also serve as a primer to demonstrate the effects of use of artificial intelligence in the Indian banks and is also aimed to encapsulate the restraining and facilitating forces that drive adoption of AI. This chapter examines the blooming development of artificial intelligence and its significance in the operational efficiency in terms of management of issues related to customers while accessing different products and services offered by banks. In other words, the use of artificial intelligence technologies can dramatically improve banks' ability to achieve four key outcomes: higher profits, at-scale personalization, rapid innovation cycles, strategic customer relationship management (CRM), and distinctive omni-channel experiences. The role of artificial intelligence (AI) is significant in the banking industry for operational efficiency.

PELAYANAN INFORMASI PUBLIK PADA DINAS KOMUNIKASI DAN INFORMASI KABUPATEN DONGGALA

Pillars of democracy, transparency and good governance are the objectives of public information services carried out, through Law No. 14 of 2008 on Public Information Disclosure. The form of service organized by the Government is a service in an effort to meet the needs of the public or the community. Communication, Public information is information generated, stored, managed, sent, and / or received by a public body, this research is a qualitative approach, a research paradigm to describe events, locus research located in the Department of Communication and Informatics Donggala Regency, this study uses Informants as many as 4 (four) people, using the theory of Pararusman, et al .Tjiptnono, 1996) there are five dimensions in assessing the quality of services or services, namely, Tangibles, Realibility, Responsiveness, Assurance, Emphathy. 1) Tangibles; reflected in physical facilities, equipment, personnel and communication materials have not been effective and optimal.2) Realibility, i.e. lack of accuracy or lack of reliable information. Responsiveness: lack of sensitivity to respond to information. 4) Assurance; Knowledge is less effective and efficient. 5) Emphathy. Still lacking, officers in the process of public information services

Analisis Kualitas Pelayanan Penerbitan Rekomendasi Izin Usaha Mikro Pada Kantor Camat Lae Parira Kabupaten Dairi

The purpose of the study was to determine and analyze the quality of service for issuing micro business license recommendations and their constraints at the Lae Parira sub-district office, Dairi Regency. The research method used in this research is descriptive qualitative method, which is a method that only describes situations and events that aims to systematically describe the characteristics of a population or certain fields in a factual and accurate manner without looking for or explaining a relationship. The results of the study found that the quality of service for issuing recommendations for micro business licenses at the Lae Parira District Office of Dairi Regency was still not good. This can be seen from the complaints of the public or micro business actors who require licensing recommendations so that the general public has a negative view or picture of the agency. The constraint factors faced in improving the quality of services for issuing recommendations for micro business licenses are: the presence of officers who seek to obtain personal benefits from the licensing recommendation service process, employees do not try to avoid a negative public image of the institution so that many people are reluctant to deal with business administration, and lack of employee commitment to improving service quality so that employees tend to prioritize personal matters over service work to the community

Trusted Service Evaluation for Mobile Edge Users: Challenges and Reviews

With the increasing growth of web services shared in various mobile edge platforms, it becomes necessary to evaluate all the candidates based on their quality of services to reduce the users’ service selection cost. However, the service quality data released by service providers cannot be simply deemed as trusted due to various subjective or objective reasons, which further produce a series of serious trust-aware service evaluation problems, including service quality data sparsity and lack of feedback incentive. In view of this, we summarize the challenging issues existing in the current research field of trusted mobile edge service evaluation. Afterward, we review the current research status of the trusted service evaluation in the mobile edge environment and discuss one of the typical application scenarios based on trusted service evaluation, that is, recommender systems, as well as their diverse categories. We believe this research could be helpful in assisting a mobile edge platform to build a trusted reputation system for various smart applications hosted in the mobile edge platform.