Joint recommendation and cache optimization method based on collaboration of multiple base stations

Abstract

Disclosed is a joint recommendation and cache optimization method based on a collaboration of multiple base stations, each base station in a target area randomly caching contents stored to the cloud, when each base station in the target area receives a to-be-responded content request, constructing the recommendation optimization sub-model, the access optimization sub-model and the cache optimization sub-model, then constructing and solving the optimization problem to obtain the target base station, optimal cached contents and the recommendation list that correspond to the to-be-responded content request. Through the technical solution of the present application, the total time delay of the system is minimized, and by jointly optimizing the recommendation decision, access decision and cache decision, the delay can be significantly reduced with a lower cache capacity, and more efficient for users, good experience.