1. Book Recommendation System Group 3 Ameet Nanda Bhaskar Upadhyay Bhavana Parekh Guided By: Prof. Ellis Horowitz Kaijian Xu 1

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 2

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/ 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 3

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 4

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6. Home Page 6

7. User Home page Preview 7

8. FIN 8