Main Reference Paper Caching Placement with Recommendation Systems for Cache-enabled Mobile Social Networks, IEEE Communications Letters, June 2017 [NS2].
  • A optimal content placement is proposed for user devices based on the recommendation system in the mobile social network. The area is divided into many parts and one important user (IU) is chosen for each part. By using three algorithms: pre-filter, collaborative filtering algorithm, and latent factor algorithms, a recommendation system is designed based on the users download history for the cache enabled mobile social network.

+ Description
  • A optimal content placement is proposed for user devices based on the recommendation system in the mobile social network. The area is divided into many parts and one important user (IU) is chosen for each part. By using three algorithms: pre-filter, collaborative filtering algorithm, and latent factor algorithms, a recommendation system is designed based on the users download history for the cache enabled mobile social network.

  • To improve the accuracy

  • Two maximize the traffic offloading ratio

+ Aim & Objectives
  • To improve the accuracy

  • Two maximize the traffic offloading ratio

  • A technique is contributed to further improve the accuracy and offloading ratio of the mobile social network.

+ Contribution
  • A technique is contributed to further improve the accuracy and offloading ratio of the mobile social network.

  • Operating System : Ubuntu 12.04 LTS 64bit.

  • Simulator: NS 2.35, Language: TCL and AWK script, (C++).

+ Software Tools & Technologies
  • Operating System : Ubuntu 12.04 LTS 64bit.

  • Simulator: NS 2.35, Language: TCL and AWK script, (C++).

  • M.E / M.Tech / MS / Ph.D.- Customized according to the client requirements.

+ Project Recommended For
  • M.E / M.Tech / MS / Ph.D.- Customized according to the client requirements.

  • No Readymade Projects-Depending on the complexity of the project and requirements.

+ Order To Delivery
  • No Readymade Projects-Depending on the complexity of the project and requirements.

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