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Recommender Systems in Fashion and Retail: Proceedings of the Third Workshop at the Recommender Systems Conference (2021)
Recommender Systems in Fashion and Retail: Proceedings of the Third Workshop at the Recommender Systems Conference (2021)
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- More about Recommender Systems in Fashion and Retail: Proceedings of the Third Workshop at the Recommender Systems Conference (2021)
This book provides an overview of the advancements in recommendation systems for e-commerce, retail, and fashion, with a focus on academic and industrial research. It covers topics such as product recommendations, size and fit recommendations, and social media-influenced recommendations.
Format: Paperback / softback
Length: 115 pages
Publication date: 09 March 2023
Publisher: Springer Nature Switzerland AG
This comprehensive book encompasses the proceedings of the highly esteemed third workshop on recommender systems in fashion and retail, held in 2021. Its primary objective is to provide a cutting-edge perspective on the remarkable advancements within the realm of recommendation systems, with a specific emphasis on their application in the domains of e-commerce, retail, and fashion. By presenting readers with a rich collection of chapters authored by both academic and industrial researchers actively engaged in this rapidly evolving field, the book aims to offer a comprehensive understanding of the latest developments and trends.
Recommender systems play a pivotal role in addressing various intricate challenges in this context. They are employed to recommend products, suggest appropriate sizes and fits, and even influence social media-driven recommendations, showcasing outfits worn by influential individuals. The workshop aimed to bring together experts from both academia and industry to explore the latest research, methodologies, and applications in recommender systems, fostering a collaborative environment for knowledge exchange and growth.
The chapters in this book cover a wide range of topics, including user behavior analysis, personalized recommendation algorithms, content-based filtering, collaborative filtering, and deep learning-based approaches. Each chapter delves into the theoretical foundations, practical implementations, and real-world case studies related to recommender systems in fashion and retail. The authors present their findings, discuss challenges, and propose future directions for research in this field.
By presenting a state-of-the-art view of the advancements in recommendation systems, this book serves as a valuable resource for researchers, practitioners, and industry professionals seeking to leverage the power of recommendation systems in their respective domains. It provides a comprehensive understanding of the latest trends, techniques, and applications, enabling readers to stay ahead of the curve and make informed decisions based on data-driven insights.
In conclusion, this book is a testament to the dynamic and rapidly evolving field of recommender systems in fashion and retail. It offers a comprehensive perspective on the latest research, methodologies, and applications, fostering a collaborative environment for knowledge exchange and growth. With its rich content and insightful insights, it is an essential resource for anyone interested in advancing the field and driving innovation in e-commerce, retail, and fashion.
Weight: 203g
Dimension: 235 x 155 (mm)
ISBN-13: 9783030940188
Edition number: 1st ed. 2022
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