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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:
The book will be useful for professionals working in e-commerce industry, management students, faculty and researchers
- Sales Rank: #2062781 in eBooks
- Published on: 2010-07-29
- Released on: 2010-07-29
- Format: Kindle eBook
About the Author
"Dr. Bharat Bhasker is currently Professor of Information Technology and Systems, and founder and head of Internet Commerce Research Center at IIM, Lucknow. He is also a visiting professor at several universities abroad, member of several advisory committees of the Government of India, and an honorary expert of the National Science Education and Research Council of Canada. An alumnus of IIT-Roorkee and Virginia Polytechnic Institute and State University, Dr. Bhasker has 11 years of work experience in leading US research establishments including NASA’s Goddard Space Flight Center. Dr. Bhasker has to his credit several publications including a book Electronic Commerce: Framework, Technologies and Applications published by Tata McGraw Hill. Dr. Srikumar Krishnamoorthy, an alumnus of IIM-Lucknow, is Senior Research Scientist at Infosys Technologies Limited with over 8 years of industry experience in research, product development and consulting. He has published several research papers in peer-reviewed conferences and journals. His key research interests include personalization in e-commerce, data federation, query optimization, information retrieval and machine learning."
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