Product Recommendations in E-Commerce Retailing Applications

Product Recommendations in E-Commerce Retailing Applications PDF Author: Nicolas Knotzer
Publisher:
ISBN:
Category :
Languages : en
Pages : 222

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Book Description
The book deals with product recommendations generated by information systems referred to as recommender systems. Recommender systems assist consumers in making product choices by providing recommendations of the range of products and services offered in an online purchase environment. The quantitative research study investigates the influence of psychographic and sociodemographic determinants on the interest of consumers in personalized online book recommendations. The author presents new findings regarding the interest in recommendations, importance of product reviews for the decision process, motives for submitting ratings as well as comments, and the delivery of recommendations. The results show that opinion seeking, opinion leading, domain specific innovativeness, online shopping experience, and age are important factors in respect of the interest in personalized recommendations.

Recommender Systems in Fashion and Retail

Recommender Systems in Fashion and Retail PDF Author: Nima Dokoohaki
Publisher: Springer Nature
ISBN: 3030661032
Category : Computers
Languages : en
Pages : 160

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Book Description
This book includes the proceedings of the second workshop on recommender systems in fashion and retail (2020), and it aims to present a state-of-the-art view of the advancements within the field of recommendation systems with focused application to e-commerce, retail, and fashion by presenting readers with chapters covering contributions from academic as well as industrial researchers active within this emerging new field. Recommender systems are often used to solve different complex problems in this scenario, such as product recommendations, or size and fit recommendations, and social media-influenced recommendations (outfits worn by influencers).

Recommender Systems in Fashion and Retail

Recommender Systems in Fashion and Retail PDF Author: Humberto Jesús Corona Pampín
Publisher: Springer Nature
ISBN: 3031221923
Category : Computers
Languages : en
Pages : 125

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Book Description
This book includes the proceedings of the fourth workshop on recommender systems in fashion and retail (2022), and it aims to present a state-of-the-art view of the advancements within the field of recommendation systems with focused application to e-commerce, retail, and fashion by presenting readers with chapters covering contributions from academic as well as industrial researchers active within this emerging new field. Recommender systems are often used to solve different complex problems in this scenario, such as product recommendations, size and fit recommendations, and social media-influenced recommendations (outfits worn by influencers).

Do You Want to Keep Your Customers Forever?

Do You Want to Keep Your Customers Forever? PDF Author: B. Joseph Pine
Publisher: Harvard Business Press
ISBN: 142214027X
Category : Business & Economics
Languages : en
Pages : 94

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Book Description
"This classic article shows how to make mass customization and efficient and personal marketing work by putting companies and their consumers in a "learning relationship." Over time, this ongoing relationship allows your company to meet customers' changing needs, develop learning relationships with them, and retain their business forever."--Provided by publisher.

Recommender Systems in Fashion and Retail

Recommender Systems in Fashion and Retail PDF Author: Nima Dokoohaki
Publisher: Springer Nature
ISBN: 3030940160
Category : Computers
Languages : en
Pages : 116

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Book Description
This book includes the proceedings of the third workshop on recommender systems in fashion and retail (2021), and it aims to present a state-of-the-art view of the advancements within the field of recommendation systems with focused application to e-commerce, retail, and fashion by presenting readers with chapters covering contributions from academic as well as industrial researchers active within this emerging new field. Recommender systems are often used to solve different complex problems in this scenario, such as product recommendations, size and fit recommendations, and social media-influenced recommendations (outfits worn by influencers).

Proceedings of the International Conference on Intelligent Vision and Computing (ICIVC 2021)

Proceedings of the International Conference on Intelligent Vision and Computing (ICIVC 2021) PDF Author: Harish Sharma
Publisher: Springer Nature
ISBN: 3030971961
Category : Technology & Engineering
Languages : en
Pages : 592

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Book Description
This book gathers outstanding research papers presented at the International Conference on Intelligent Vision and Computing (ICIVC 2021), held online during October 03–04, 2021. ICIVC 2021 is organised by Sur University, Oman. The book presents novel contributions in intelligent vision and computing and serves as reference material for beginners and advanced research. The topics covered are intelligent systems, intelligent data analytics and computing, intelligent vision and applications collective intelligence, soft computing, optimization, cloud computing, machine learning, intelligent software, robotics, data science, data security, big data analytics, and signal natural language processing.

Practical Natural Language Processing

Practical Natural Language Processing PDF Author: Sowmya Vajjala
Publisher: "O'Reilly Media, Inc."
ISBN: 1492054003
Category : Computers
Languages : en
Pages : 456

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Book Description
Many books and courses tackle natural language processing (NLP) problems with toy use cases and well-defined datasets. But if you want to build, iterate, and scale NLP systems in a business setting and tailor them for particular industry verticals, this is your guide. Software engineers and data scientists will learn how to navigate the maze of options available at each step of the journey. Through the course of the book, authors Sowmya Vajjala, Bodhisattwa Majumder, Anuj Gupta, and Harshit Surana will guide you through the process of building real-world NLP solutions embedded in larger product setups. You’ll learn how to adapt your solutions for different industry verticals such as healthcare, social media, and retail. With this book, you’ll: Understand the wide spectrum of problem statements, tasks, and solution approaches within NLP Implement and evaluate different NLP applications using machine learning and deep learning methods Fine-tune your NLP solution based on your business problem and industry vertical Evaluate various algorithms and approaches for NLP product tasks, datasets, and stages Produce software solutions following best practices around release, deployment, and DevOps for NLP systems Understand best practices, opportunities, and the roadmap for NLP from a business and product leader’s perspective

Handbook of Industrial Organization

Handbook of Industrial Organization PDF Author: Kate Ho
Publisher: Elsevier
ISBN: 0323988873
Category : Business & Economics
Languages : en
Pages : 782

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Book Description
Handbook of Industrial Organization Volume 4 highlights new advances in the field, with this new volume presenting interesting chapters. Each chapter is written by an international board of authors. Part of the renowned Handbooks in Economics series Chapters are contributed by some of the leading experts in their fields A source, reference and teaching supplement for industrial organizations or industrial economists

Research Anthology on E-Commerce Adoption, Models, and Applications for Modern Business

Research Anthology on E-Commerce Adoption, Models, and Applications for Modern Business PDF Author: Management Association, Information Resources
Publisher: IGI Global
ISBN: 1799889580
Category : Business & Economics
Languages : en
Pages : 1964

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Book Description
In the next few years, it is expected that most businesses will have transitioned to the use of electronic commerce technologies, namely e-commerce. This acceleration in the acceptance of e-commerce not only changes the face of business and retail, but also has introduced new, adaptive business models. The experience of consumers in online shopping and the popularity of the digital marketplace have changed the way businesses must meet the needs of consumers. To stay relevant, businesses must develop new techniques and strategies to remain competitive in a changing commercial atmosphere. The way in which e-commerce is being implemented, the business models that have been developed, and the applications including the benefits and challenges to e-commerce must be discussed to understand modern business. The Research Anthology on E-Commerce Adoption, Models, and Applications for Modern Business discusses the best practices, latest strategies, and newest methods for implementing and using e-commerce in modern businesses. This includes not only a view of how business models have changed and what business models have emerged, but also provides a focus on how consumers have changed in terms of their needs, their online behavior, and their use of e-commerce services. Topics including e-business, e-services, mobile commerce, usability models, website development, brand management and marketing, and online shopping will be explored in detail. This book is ideally intended for business managers, e-commerce managers, marketers, advertisers, brand managers, executives, IT consultants, practitioners, researchers, academicians, and students interested in how e-commerce is impacting modern business models.

Innovate To Elevate!: A Journey Through Mindset And Gen Ai To Enhance Customer Experience

Innovate To Elevate!: A Journey Through Mindset And Gen Ai To Enhance Customer Experience PDF Author: Francis Goh
Publisher: World Scientific
ISBN: 9811297096
Category : Business & Economics
Languages : en
Pages : 335

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Book Description
As a 30-year veteran executive, Francis Goh brings to the table a unique blend of practical wisdom and certified expertise in Customer Experience (CX), Design Thinking, Agile, Scrum, and Lean methods. His deep understanding of Amazon's Working Backwards mechanism, honed during his tenure as a Digital Innovation expert at AWS, further enriches the insights shared in this book. These strategies are not just theoretical concepts but battle-tested solutions forged in the crucible of real-world challenges. Through his experience and expertise, the author aims to provide readers with actionable strategies and proven methodologies to navigate the ever-evolving landscape of technology and business with confidence and success.The book unveils three powerful frameworks meticulously developed to help executives leverage innovation and Gen AI to develop their CX strategies. These frameworks serve as guiding lights, illuminating the path forward in a landscape marked by rapid technological advancement and shifting consumer expectations. With practical strategies and actionable insights, this book equips leaders with the tools they need to navigate the complex intersection of innovation and Customer Experience, driving transformative change within their organizations.