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Authors
Affiliations
1 G.H Raisoni College of Engineering and Management, Pune, IN
Source
International Journal of Engineering Research, Vol 5, No 6 (2016), Pagination: 534-538
Abstract
All websites are using personalized Recommendation system to suggest right product to the customer. Existing system handles tree structured items and uncertainty in user preference but it takes high memory, time and computation requirement. To overcome this issue new system is proposed with increased performance.
Keywords
Fuzzy Set, Recommendation System, Clustering, Tree Similarity, Tree Merging.
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