User Taste Prediction Service Using Big Data
Yoon-Deuk Seo, Jinho Ahn · 2013
In this paper, we propose a personalized contents recommendation service using big data. We presented a user similarity-based contents recommendation service using NFC. This service used a small sample because it used only information of the users who had watched a museum. So it had some drawback that it is difficult to accurately predict the user's preference. To solve this problem, the proposed service predicts the user's taste using big data such as Twitter and blogs. It recommends a personalized content to the corresponding user based on the predicted taste. It is possible to predict the exact user's preference and might recommend more suitable contents to the user's taste because it predicts the user using big data with a variety of user's information.