Optimizing Caching and Recommendation Towards User Satisfaction

Published: Oct 1, 2018
Abstract
Caching at the wireless edge can improve the user experience in transmission, while personalized recommendation is targeted at satisfying users with contents and can also shape the user demands. In this paper, we jointly optimize caching and recommendation for helpers randomly deployed in cellular networks towards both transmission and content satisfaction. We first introduce a model to reflect the impact of the position of a recommended file in...
Paper Details
Title
Optimizing Caching and Recommendation Towards User Satisfaction
Published Date
Oct 1, 2018
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