An interactive knowledge-based recommender system for fashion product design in the big data environment

Dong, Min; Zeng, Xiaoyang; Koehl, Ludovic; Zhang, Junjie

doi:10.1016/j.ins.2020.05.094

Cited by 77 publications

(37 citation statements)

References 20 publications

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“…The main component of the proposed interactive recommender systems is the design of knowledge for learning material, which is created using the ontological model. Ontologies are considered powerful tools to support formalizing and modelling various knowledge-based systems [30]. Most ontological models involve the classification of learning topic material related to a future job description that suitable for learning partner competency.…”

Section: Resultsmentioning

confidence: 99%

Interactive Recommender System for Identifying Learning Partner

Oktavia¹,

Sujarwo²

2021

IJETAE

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— Currently, higher education must open their mindset to change the learning process. This process cannot still stay on a conventional process that only involved students and lecturers as learning participants because to capture what the current industry needs and the trend of knowledge, higher education institutions must collaborate with external parties as learning partners to give a global perspective about the industrial needs and trends. The process to identify a learning partner to contribute to the learning process is not easy way. The higher education institution must select which partner has appropriate skills and competency suitable for the subject’s course. Many parameters will be involved in the selection process to identify the right partner. In this proposed system, external parties in this context consist of professionals or educators from the external institution easily can be defined to be selected as learning partners based on their competency and experience, that listed on social media LinkedIn as a professional platform. The method to build this interactive recommender system in this study is based on design science research that identifies step by step design stage to propose the best way solution for the recommender system. The result of this study is an interactive recommender system that can help higher education to find out the best candidate for their learning partner so the collaboration of learning can be implemented effectively

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Section: Resultsmentioning

confidence: 99%

Interactive Recommender System for Identifying Learning Partner

Oktavia¹,

Sujarwo²

2021

IJETAE

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“…The analysis of consumer behaviour is increasingly important in the design of new products, with relationship-based learning and its implications for customer engagement during the design stage of the new product development process [25]. The use of big data allows designers to learn progressively from new design cases, in which design factors and the emotional requirements of consumers are interrelated [26,27]. Product ecosystems enable user sensing, setting the stage for the control of post-purchase consumption patterns [28].…”

Section: Industrial Designmentioning

confidence: 99%

Aspects of Industrial Design and Their Implications for Society. Case Studies on the Influence of Packaging Design and Placement at the Point of Sale

et al. 2021

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Manufacturing engineering is responsible for the design, development and improvement of production systems that convert raw materials into finished products. Each product is designed to be sold to numerous potential consumers, so the importance of the stimuli surrounding the product in packaging, and at the point of sale, cannot be underestimated. The environmental, social, and ethical commitments of industrial design (and their implications in manufacturing) are establishing universal principles in a common effort to foster a more harmonious and sustainable society. This work aims to analyse, through eye tracking biometric techniques, the level of saturation of information generated by the concentration of stimuli in packaging and the retail channel, possibly creating a lower level of attention towards the product itself. This research confirms that every product associated with a manufacturing process seeks to respond to a need, so the associated responsibility is significant. This would suggest that designers incorporate knowledge from multiple fields, including marketing strategies, design, research and development, basic knowledge related to production, integration management and communication skills. More than 50% of consumer attention is dedicated to other elements/items that accompany the product, so it is important to consider this in the design phase. The results can be used to improve efficiency in both generating product attention, and stimulus design for the purchasing process.

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“…The rapid evolution of development plans like Industry 4.0 and Made in China 2025, as well as emerging information technologies, such as Cloud Computing, Big Data, and the Internet of Things, plays an important role in the development of garment production (Damodaram and Ravindranath, 2010 ; Ngai et al, 2014 ; Dong et al, 2020 ; Gu et al, 2020 ). Many garment firms in the apparel industry have, in fact, introduced high-end technology to design innovative, stylish, and customized products to attract more potential customers.…”

Section: Introductionmentioning

confidence: 99%

“…Obviously, one of the necessary conditions for this process to take place is that the product manufacturer and the consumers dispose of some channels to communicate their preferences and, sometimes, their limits. Nowadays, this is not just more than possible, it is actually routine thanks to the increasing popularity of smartphones (Editing Team, 2019 ), wearable devices and other intelligent terminal devices, which give the customized garment manufacturer easy access to customers' information, preferences, and data, and allow the producer to get in contact with the customer even during the manufacturing and distribution processes [here, it is important to mention the newly available technologies like the 3D printing machine (Zhou et al, 2016 ), artificial intelligence (Gu et al, 2020 ), and big data (Dong et al, 2020 )].…”

Section: Introductionmentioning

confidence: 99%

Customer Behavior on Purchasing Channels of Sustainable Customized Garment With Perceived Value and Product Involvement

Yuan

et al. 2020

Front. Psychol.

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Online shopping for customized garments has become the fastest-growing field of the Chinese eBusiness market. Most consumers not only limit themselves to buying standardized garments but also want to buy garments customized to their preferences. This phenomenon has pushed the fashion textile and apparel industry to change its supply chain operations to meet the customization demand. Besides, the fashion textile and apparel industry also want to study how different channel factors will affect consumers' perceived value and further influence consumers' purchasing decisions. We initiated this study and empirically tested more than 200 experienced consumers. This study collaborated with a fashion textile and apparel company that aims to implement customized product lines soon. Based on the perceived value theory and risk management theory, we investigated whether product involvement and channel identification on supply chain design will affects potential customized product consumers' purchasing decisions. The findings reveal that channel recognition affects consumer decisions by having a positive impact on their perceived value. The perceived risk and shopping channel involvement of consumers have a negative impact on their perceived values and channel selections. In addition, product involvement has a moderating effect on the relationship between channel's perceived risk, perceived values, and channel selections as well.

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An interactive knowledge-based recommender system for fashion product design in the big data environment

Cited by 77 publications

References 20 publications

Interactive Recommender System for Identifying Learning Partner

Interactive Recommender System for Identifying Learning Partner

Aspects of Industrial Design and Their Implications for Society. Case Studies on the Influence of Packaging Design and Placement at the Point of Sale

Customer Behavior on Purchasing Channels of Sustainable Customized Garment With Perceived Value and Product Involvement

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