QPSetter: An Artificial Intelligence-Based Web Enabled, Personalized Service Application for Educators

Construction Plan for Digital Campus Portal

Applied Mechanics and Materials ◽

10.4028/www.scientific.net/amm.513-517.2194 ◽

2014 ◽

Vol 513-517 ◽

pp. 2194-2198

Author(s):

Hong Xin Hu

Keyword(s):

Information Access ◽

Information Resources ◽

Personalized Service ◽

Digital Campus ◽

Application Systems ◽

Integrated Environment ◽

Campus Portal ◽

Service Application ◽

Seamless Access

The goal of the platform construction for campus portal is to integrate distributed, heterogeneous applications and information resources, and by the unified access, to achieve seamless access and integration of various application systems, offering an integrated environment for information access, transfer, and collaboration so as to achieve a personalized service application with efficient development, integration, deployment and management.

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E-Service Application: Online Donation to Help Fight COVID-19

Ingénierie des systèmes d information ◽

10.18280/isi.260114 ◽

2021 ◽

Vol 26 (1) ◽

pp. 129-134

Author(s):

Iskander BelHaj Nasr ◽

Kabil Jbeli ◽

Abir Smiti

Keyword(s):

Artificial Intelligence ◽

Nearest Neighbor ◽

Optimal Solutions ◽

K Nearest Neighbor ◽

Machine Learning Technique ◽

Learning Technique ◽

Business Requirement ◽

Online Donation ◽

Service Application ◽

The Ideal

The Artificial Intelligence (AI) can promote research and find optimal solutions for complex and unstable situations. COVID-19 highlights the urgent need to innovate and offer modern solutions. Those solutions must meet the business requirement but also the current circumstances. In this paper, we are going to describe a new E-service application: Online Donation to Help Fight COVID-19. Our online donation software is perfect for nonprofits. The application has many features to suit our needs and their support response time. We use the Machine learning technique K-Nearest Neighbor to identify the ideal beneficiaries (school, hospital…). Our project can resolve the problem of donation management and establish the transparency and trust.

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Big Data, Artificial Intelligence, and Their Implications in the Tourism Industry

Handbook of Research on Smart Technology Applications in the Tourism Industry - Advances in Hospitality, Tourism, and the Services Industry ◽

10.4018/978-1-7998-1989-9.ch006 ◽

2020 ◽

pp. 115-130 ◽

Cited By ~ 1

Author(s):

Evrim Çeltek ◽

Ibrahim Ilhan

Keyword(s):

Artificial Intelligence ◽

Big Data ◽

Hospitality Industry ◽

Tourism Industry ◽

Operating Costs ◽

Personalized Service ◽

Tourism Professionals ◽

Real Value

Tourism businesses use AI and big data to connect guests creatively and meet their expectations with personalized service. Big data enables tourism professionals to learn more about their customers, and the more they know, the better experience they can offer to customers. As it provides real value, AI has already become an integral part of operations, and this trend will continue. Tourism businesses use AI tools to reduce operating costs and maintenance bills as in many other sectors. AI-oriented marketing has already been widely used in the hospitality industry. Moreover, as long as technology evolves and becomes more complex, tourism professionals will find more ways and methods to implement big data and AI to satisfy customers, and AI will continue to transform the tourism industry. Properties, advantages, and problems of artificial intelligence and big data are discussed in this chapter, and some examples are given from the perspective of the tourism industry.

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