Recommender systems in e-commerce: methodologies and applications of data mining
By: Bhasker, Bharat
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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.
| Item type | Current location | Item location | Collection | Call number | Status | Date due | Barcode |
|---|---|---|---|---|---|---|---|
| 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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