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This paper proposed a web engineering architecture based on three main phenomena called Structured Development, high reliability and multi-level flexibility. The ontology is formed and mapped to generate a structured and user-assisted design. The user requirements are captured in this model based on an ontology map. Web engineering is applied to capture the various elements of web development including the functional features. In the development phase, the captured inputs and features are processed for designing the static and active web pages. The functional interconnectivity, validations, and security are integrated for all pages. The second important aspect of high reliability is achieved by managing the control level validations, BlackBox testing, cookies control, and session tracking. Multi-level flexibility is achieved at each level of this model including requirement gathering, ontology formation, webpage development, control validations, and testing. The XML files are generated at different levels to manage and control user responses. The proposed model is verified on seven case studies and the analysis is done in terms of design time and the number of cycles required for finalizing the website. The qualitative evaluation of the proposed model is done against 11 existing web designing tools. The project development is accomplished from 15 to 70 s based on the project size. The number of change cycles of different projects lies between 4 and 12. The analytical study identified that the proposed model is effective and reliable enough against template support, requirement gathering, customization, control validation, testing, and security. [ABSTRACT FROM AUTHOR]

Nowadays, the information on the internet presents explosive growth; similar information from the space of information available overwhelms users. Collaborative filtering is one of the alternatives used for solving this problem. Recommendations are the need of daily life to choose the better alternative from the given choices. Everyone uses recommendations to approach the good items and services in this interconnected world. The recommender system is a software solution to make this process easy. This article presents the application of Boltzmann machines in recommendation systems for the last twenty years. [ABSTRACT FROM AUTHOR]