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Recommendation systems are playing a vital role for an e-commerce business, which help to protect the customers from information overload. The visitors of such websites need guidance as well as recommendations through which they can find their desired results. Without recommendations it required extra time to get the result. This idea leads to the research on "Multimedia Recommendation System for e-learning website". The authors proposed an Algorithm using Tag based content search technique, which provides the desired recommendations in the form of text, image, audio and video. In the first phase of the research the recommendations are coming from the same website only.
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