Abstract
The application of technology in the apparel industry has received significant attention from the research community in recent times. Technology is being leveraged to support the various processes in the supply chain of the industry. On the consumer side, choosing the right outfit for occasions can be quite challenging. It is for this reason that researchers have proposed a number of fashion recommender systems in the literature. Although the proposals in literature cover a number of areas, they are yet to touch on recommendation based on weather. It is also important to harmonise all of the proposals into a unified framework that will help guide developers. The aim of this study therefore is to propose a unified framework for outfit design and advice. The framework is developed using Unified Modelling Language (UML) diagrams and notations, which are globally recognised. In addition, a prototype of an aspect of the framework has also been implemented as proof of concept. We believe that this framework can be leveraged by online fashion stores to better serve their customers and can also be implemented as a mobile app to give suitable advice to its end users.
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We acknowledge the support and sponsorship provided by Covenant University through the Centre for Research, Innovation and Discovery (CUCRID).
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Adewumi, A. et al. (2020). A Unified Framework for Outfit Design and Advice. In: Sharma, N., Chakrabarti, A., Balas, V. (eds) Data Management, Analytics and Innovation. Advances in Intelligent Systems and Computing, vol 1016. Springer, Singapore. https://doi.org/10.1007/978-981-13-9364-8_3
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DOI: https://doi.org/10.1007/978-981-13-9364-8_3
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