Content caching in mobile edge computing based on user location and preferences using cosine similarity and collaborative filtering

HIGHLIGHTS

  • who: Gul-E-Laraib and colleagues from the Department of Computer Science, COMSATS University Islamabad, Campus, Abdulrahman University, POBox, Riyadh, Saudi Arabia have published the Article: Content Caching in Mobile Edge Computing Based on User Location and Preferences Using Cosine Similarity and Collaborative Filtering, in the Journal: Electronics 2023, 11, x FOR PEER REVIEW of /2023/
  • what: The authors propose mobility- and user-preferences-aware caching for MEC. The aim of_[18] is to minimize energy used in content delivery to mobile users. The focus of this work is first to predict user mobility and . . .

     

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