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Product Recommendation and Adaptive eLearning: A Modular eCommerce Platform with Expert Product Recommendation and Adaptive eLearning

Product Recommendation and Adaptive eLearning: A Modular eCommerce Platform with Expert Product Recommendation and Adaptive eLearning

Product Recommendation and Adaptive eLearning: A Modular eCommerce Platform with
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Product Recommendation and Adaptive eLearning: A Modular eCommerce Platform with Expert Product Recommendation and Adaptive eLearning Paperback - 2011

by MacDonald, Peter

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LAP Lambert Academic Publishing, 2011-04-11. paperback. New. 5.91x0.25x8.66. Buy with confidence. Excellent Customer Service & Return policy.
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Details

  • Title Product Recommendation and Adaptive eLearning: A Modular eCommerce Platform with Expert Product Recommendation and Adaptive eLearning
  • Author MacDonald, Peter
  • Binding Paperback
  • Condition New
  • Pages 108
  • Volumes 1
  • Language ENG
  • Publisher LAP Lambert Academic Publishing
  • Publication date 2011-04-11
  • Bookseller's Inventory # DADAX3844329366
  • ISBN 9783844329360 / 3844329366
  • Weight 0.38 lbs (0.17 kg)
  • Dimensions 9 x 6 x 0.26 in (22.86 x 15.24 x 0.66 cm)
  • Size 5.91x0.25x8.66
  • Category Computers - General Information
  • Quantity available 6

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Reader reviews for Product Recommendation and Adaptive eLearning: A Modular eCommerce Platform with Expert Product Recommendation and Adaptive eLearning

From the publisher

Effectively connecting and marketing products to on- line consumers is one of the challenges faced by businesses today. This platform is designed to educate and assist users with the product selection process and provide for personalization in a domain where expert knowledge is important for matching customer needs with product characteristics. The system utilizes several strategies designed to engage the user in order to retain and progressively stimulate interest in the product area. The intelligent system matches users with appropriate product recommendations while adaptive eLearning enhances product understanding providing an interactive and evolving user experience. Aspects of social networking are incorporated into the product matching and recommendation process. The modular design of the platform allows for an application independent extension to existing ecommerce systems. The target area for the platform is the wine consumer industry where education and knowledge are important factors in the product selection process due to the high level of product complexity.
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