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Recommender systems in e-commerce: methodologies and applications of data mining

By: Bhasker, Bharat.
Contributor(s): Srikumar, K.
Publisher: New Delhi Tata McGraw Hill Education 2010Description: xv, 190 p.ISBN: 9780070680678.Subject(s): E-commerce | MarketingDDC classification: 658.800285 Summary: The proliferation of Internet technologies and e-commerce has made the web space 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 recommended 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.
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Books Vikram Sarabhai Library
Slot 2166 (2 Floor, East Wing) Non-fiction 658.800285 B4R3 (Browse shelf) Available 170997

The proliferation of Internet technologies and e-commerce has made the web space 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 recommended 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.

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