ISBN 9780070680678,Recommender Systems In E-Commerce

Recommender Systems In E-Commerce



Tata McGraw - Hill Education

Publication Year 2010

ISBN 9780070680678

ISBN-10 0070680671


Number of Pages 204 Pages
Language (English)


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