Mrs. R. Sridevi

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With the explosion of internet users on the web, finding the right choice for the user is a tedious task. Collaborative filtering one of the most commonly used Recommender system recommends the movies based on user preferences. However, it requires expensive computations to find the similarity as the number of users and movies increases. Hence, DECORS a(More)
The emergence of web had a profound impact on personalized Recommender systems. They empower most of the popular e-commerce websites by changing the way the users communicate with the websites. Despite the available of popular recommendation techniques like Content based and Collaborative filtering which have been successful in implementing satisfactory(More)
Over last two decades, due to conflicts of environment over the internet the concerns about confidentiality of information have increased at outstanding rate. Therefore preventing unauthorized information access has been a key consideration for growing use of steganography techniques for applications like copyright protection, feature tagging and secret(More)
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