OWA based Book Recommendation Technique

The proliferation of the modern technologies has caused data overload over the Internet. The huge data over the World Wide Web has increased the problems for the users to extract the exact information. Variousrecommendation techniques are being used to help the customers in purchasing the desired items for online shopping. In this paper, we propose a recommendation method for books. We use positional aggregation based scoring (PAS) technique to score the books recommended by top ranked universities and assigned weights to these scores using fuzzy quantifiers. We apply Ordered Weighted Averaging (OWA) aggregation operator over these scores to find the top books. Finally top ranked books are recommended.