slugImproved Item Based Collaborative Filtering for Personalised Recommendation
Journal Title: International Journal for Research in Applied Science and Engineering Technology (IJRASET) - Year 2014, Vol 2, Issue 4
Abstract
In the vast amount of information in the internet, to give individual attention for each users the personalized recommendation system is used, which uses the collaborative filtering method. Due to some popular objects the accuracy of the data’s are lost. To remove this influence the method which is proposed here is a network based collaborative filtering which will create a user similarity network, where the users having similar interests of item or movies will be grouped together forming a network. Filtering the users when the number is large is done by the nearest neighbour approach or the filtration approach. Then we calculate discriminant scores for candidate objects. Validate the proposed approach by performing random sub- sampling experiments for about 20 times to get the accurate results. To improve and enhance the accuracy of the results the item based collaborative filtering is proposed. Results show that the approach out performs the network- based collaborative filtering method.
Authors and Affiliations
I. Jenitta Magdalene, Rebecca Sandra
Keywords
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- EP ID EP17823
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