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Automatic Recommendation for Online Users

Automatic Recommendation for Online Users


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About the Book

A real world challenging task of the web master of an organization is to match the needs of user and keep their attention in their web site. So, only option is to capture the intuition of the user and provide them with the recommendation list. Most specifically, an online navigation behavior grows with each passing day, thus extracting information intelligently from it is a difficult issue. Web master should use web usage mining method to capture intuition. A WUM is designed to operate on web server logs which contain user's navigation. Hence, recommendation system using WUM can be used to forecast the navigation pattern of user and recommend those to user in a form of recommendation list.This system has a two tier architecture for capturing users intuition in the form of recommendation list containing pages visited by user and pages visited by other user's having similar usage profile. The practical implementation of proposed architecture and algorithm shows that accuracy of user intuition capturing is improved.


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Product Details
  • ISBN-13: 9783659281525
  • Publisher: Lap Lambert Academic Publishing
  • Binding: Paperback
  • Language: English
  • Returnable: N
  • Spine Width: 5 mm
  • Width: 152 mm
  • ISBN-10: 3659281522
  • Publisher Date: 11 Nov 2012
  • Height: 229 mm
  • No of Pages: 80
  • Series Title: English
  • Weight: 177 gr


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Automatic Recommendation for Online Users
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Automatic Recommendation for Online Users
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