Abstract: Online video service is common in Internet services. Users usually waste lot of time to obtain their interested videos in browsing and watching those videos. Therefore, various recommendation systems have been proposed. Most of those proposed systems like content based recommendation system, collaborative filtering recommendation system and context aware recommendation system deploy a large number of context collectors at terminals and access networks. However, the context collecting and exchanging result in heavy network overhead, and the context processing and content matching consumes huge computation. Therefore here we are introducing a recommendation system based on user behavior for videos in cloud, which can reduce network overhead and speed up the recommendation process. The users are recommended with videos based on their behavior information.
Keywords: Video service, Recommendation system, User behavior, Tag.
Title: Recommendation System for Videos in Cloud Based on User Behavior.
Author: Ramya. S, Mrs. Anitha. M.L
International Journal of Computer Science and Information Technology Research
ISSN 2348-1196 (print), ISSN 2348-120X (online)
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