scholarly journals USERS’ ACCEPTANCE OF WEB-BASED INFORMATION RESOURCES AT REDEEMER’S UNIVERSITY, NIGERIA

Author(s):  
Margaret Rasulo

The aim of this chapter is to discuss the effectiveness and the necessity of forming a community when engaged in online learning. The Internet and its online communities offer new learning opportunities for many who cannot attend full-time, residential training sessions or higher education courses. Web-based course delivery affords these students and professionals the opportunity to work together, “anytime, anywhere,” exchanging information, resources, expertise, without leaving their homes or their jobs


2014 ◽  
Vol 926-930 ◽  
pp. 2014-2017
Author(s):  
Ai Ying Tang

The research analysis about the current situation of ollege aerobics information resource construction, pointing out the drawbacks about college aerobics information resources construction under the current web environment and proposes the strategy about how to construct college aerobics information resources under the Network Environment. This article includes the principles and feasibility of college aerobics information resources construction under network environment, and put forward our own ideas about the strategy of college aerobics information resources construction under network environment.


2002 ◽  
Vol 20 (2) ◽  
pp. 188-198 ◽  
Author(s):  
Sarah K. McCord ◽  
Linda Frederiksen ◽  
Nicole Campbell

2021 ◽  
Vol 16 (93) ◽  
pp. 79-92
Author(s):  
Irina Yu. Shpolianskaya ◽  

Widespread use of web-based systems in business, marketing, e-learning, etc. makes it necessary to take into account and analyze the information needs of the user in order to optimize interaction with him. One of the main problems of creating adaptive web-based systems is the task of classifying information resources (pages) of the portal describing the offered product or service, for the subsequent formation of the user profile and personalized recommendations of services. Data mining and machine learning methods can be used to solve this problem. The article presents a new approach to creating adaptive web-based information systems using the reinforcement learning algorithms to classify information resources and to form personalized recommendations to users based on their preferences. An adaptive approach is proposed and justified, based on the use of Reinforcement Learning procedures, which allows you to automatically find the most effective strategies for the correct classification of the site's resources and the formation of user groups with the same type of requests and preferences. The proposed scheme allows you to create procedures for evaluating and ranking information resources of the system based on the analysis of user behavior on the site online. The reinforcement learning algorithms used make it possible to evaluate the relevance of each page of the site to the requests and preferences of the users from different categories in order to optimize the structure and content of the site, as well as to build an effective system of recommendations in accordance with the user's interests to be able to choose the most suitable products or services.


Author(s):  
Junsheng Zhang ◽  
Yingfan Gao ◽  
Yanqing He ◽  
Hongjiao Xu ◽  
Chongde Shi ◽  
...  

Digital information resources on the web have been playing an important role during the information and knowledge propagation. Advanced applications such as intelligent information retrieval and information recommendation need the semantic relations among the digital information resources. Massive hyperlinks have existed in the current web; however, the semantic relations among the information resources are implicit or missing, and this has hindered the efficiency and effect of information sharing and information reuse, so it is necessary to evolve the hyperlinks to semantic links for enhancing the semantic connections between information resources on the web. Implicit and missing semantic links among the digital information resources are needed by the intelligent applications. In this paper, the authors propose an approach to enhance the semantic associations among digital information resources for realizing a semantic linked web. Applications based on semantic links are discussed and compared with applications on the current web. The semantic linked web can be regarded as a promising stage in the way to the semantic web.


Author(s):  
Ch. Z. Patrikakis ◽  
A. Konstantas

According to the Food and Agriculture Organisation of the United Nations (FAO, 2005), organic agriculture (OA) is “a holistic production management system which promotes and enhances agro-ecosystem health, including biodiversity, biological cycles, and soil biological activity.” In recent years, the rapid evolution of the Internet has given the opportunity to create a large number of Web sites, Web portals, and other information resources concerning OA (for the remainder of this article, we will refer to them as OA information resources). The ultimate goal behind these attempts has been the dissemination of information to farmers, traders, agriculturists, consumers, and even children, and the provision of specialised services on OA. This has lead to a plethora of Web-based information systems and inevitably, has created the need for a detailed analysis on the positioning of a new Web portal regarding OA before proceeding to design and implementation. Dibb et al. (Dibb, Simkin, Pride, & Ferrel, 2007) define positioning as “the process of creating an image for a product in the minds of target customers.”


Author(s):  
Yousif Mustafa ◽  
Clara Maingi

This is a typical case of implementing information technology in order to assist an enterprise to effectively utilize its production information resources. The enterprise, a world-class leader in Pharmaceutical industry, currently keeps a large number of technical research reports on shared network media. These reports contain scientific specifications extremely essential to the enterprises final products. In order to utilize these reports, a researcher has to navigate and literarly read through each report to identify whether it is relevant to what he/she is currently working on. Often times, researchers find it more feasible to create their own reports rather than wasting time and energy on the searching process. Our solution to the problem is to create an information system which will keep track of these reports, provide a concise synopsis of each report, enable the researchers to search using keywords, and give a direct link to locate that report via a friendly Web-based user-interface.


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