Cache-Decision Policy using Tastes Similarity

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  • 嗜好の類似性を用いたキャッシュ制御

Abstract

Today, the majority of internet traffic is video traffic, and it is important for network providers to reduce the video traffic. In the existing researches, temporarily or regionally popular contents are placed in replication servers by focusing on the past popularity. In this paper, we would like to focus on user taste, and we propose to place contents which are not so popular but expected to be viewed in the near future. The numerical results using MovieLens dataset show that the proposed method can make user groups with similar taste and improve the cache hit ratio compared with the LRU.

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