Recommender Systems in e-Commerce - PDF free download eBook

  • Verified: Mon, Jul 06, 2020
  • Published: 26.01.2019
  • Views: 108

Introduction

The proliferation of Internet technologies and e-commerce has made the webspace an exciting and interactive business platform for producers, marketers and consumers. At the same time, web itself...

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Details of Recommender Systems in e-Commerce

Original Title
Recommender Systems in e-Commerce
ISBN13
9780070680678
Edition Format
Hardcover
Number of Pages
204 pages
Book Language
English
Ebook Format
PDF, EPUB

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Some brief overview of this book

The proliferation of Internet technologies and e-commerce has made the webspace an exciting and interactive business platform for producers, marketers and consumers. At the same time, web itself has become complex and difficult to navigate, overwhelming users with innumerable choices of products, services, and/or information. But, help is at hand with recommender systems w The proliferation of Internet technologies and e-commerce has made the webspace an exciting and interactive business platform for producers, marketers and consumers.

At the same time, web itself has become complex and difficult to navigate, overwhelming users with innumerable choices of products, services, and/or information. But, help is at hand with recommender systems which can overcome the information overload problem by retrieving appropriate information based on a user's past purchases, tastes and preferences and those of similar users. Written by seasoned IT experts with extensive research and industry experience, Recommender Systems in e-Commerce deals with recommendation systems, process and techniques in detail.

Enriched with illustrative diagrams and examples, the book covers: Processes, characteristics and classification of recommendation systems Basic techniques used in recommendation systems: Collaborative Filtering, Data Mining, Information Retrieval/Content Filtering Design, development and evaluation of recommendation system for low-involvement and high-involvement products Applications of recommendation systems The book will be useful for professionals working in e-commerce industry, management students, faculty and researchers # 1. Recommender Systems-An Introduction 2. Collaborative Filtering 3.

Recommender Systems-Data Mining Techniques 4. Recommender Systems-Association Rule Mining 5. Information Retrieval and Hybrid Methods for Recommender Systems 6.

Design of Recommender Systems for e-Commerce 7. Recommender Systems for High-Involvement Products in e-Commerce 8. Applications of Recommender Systems


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