RETINAL BASED PERSONAL IDENTIFICATIO SYSTEM USING SIFT ALGORITHM
B. Thiyagarajan1, M.Vineeth2, G.Ramachandhiran3, P. Alex 4 Dr.N. Danapaquiame5| Journal Title | : | Asian Journal of Applied Research |
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| DOI | : | |
| Page No | : | 1-5 |
| Volume | : | 3 |
| Issue | : | 2 |
| Month/Year | : | 2/2017 |
Keywords
Cold start, sparsity problem, recommendation system.
Abstract
Recently, with the rapid development of mobile devices and ubiquitous Internet access, social network services, such as Face book, Twitter, Yelp, Foursquare, Epinions, become prevalent, which allows users to share their experiences, reviews, ratings, photos, check-ins, etc. These social networks involve geographical information such as location-based social networks (LBSNs). Such information brings opportunities and challenges for recommender systems to solve the cold start, sparsity problem of datasets and rating prediction. In this project, we propose personalized recommendation systems that can help people to find interesting things and they are widely used with the development of electronic commerce. Many recommendation systems employ the collaborative filtering technology, which has been proved to be one of the most successful techniques in recommender systems in recent years.