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Book Recommendation System

Book Recommendation System

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Book Recommendation System

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  1. Book Recommendation System Group 3 Ameet Nanda BhaskarUpadhyay Bhavana Parekh Guided By: Prof. Ellis Horowitz KaijianXu

  2. General Description • Build a rating based collaborative filtering recommender system • Build a simple recommender system based on the book attributes and user’s profile • Compare the results of the two recommender systems • Provide a search option with respect to book attributes

  3. Software to be used Web Server : Apache Server side script : PHP Web Scraping : Perl Database : MySQL Dataset:http://www.informatik.uni-freiburg.de/~cziegler/BX/ Algorithm design for collaborative filtering: For each item in product catalog, I1 For each customer C who purchased I1  For each item I2 purchased by customer C  Record that a customer purchased I1 and I2 For each item I2  Compute the similarity between I1 and I2

  4. Project modules and Task assignments Team Member 1: • Simple Recommender System • Search Option and UI Team Member 2: • Collaborative recommender System implementation • UI Team Member 3: • Amazon data scraping(Home Page) • Collaborative recommender System design

  5. Home Page

  6. User Home page Preview

  7. FIN