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Book Recommendation System. Group 3 Ameet Nanda Bhaskar Upadhyay Bhavana Parekh Guided By: Prof. Ellis Horowitz Kaijian Xu. General Description . Build a rating based collaborative filtering recommender system
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Book Recommendation System Group 3 Ameet Nanda BhaskarUpadhyay Bhavana Parekh Guided By: Prof. Ellis Horowitz KaijianXu
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
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
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
