Abstract
Personalized content retrieval service has become a major information service that consumes a large portion of mobile Internet traffic. Joint content recommendation and delivery is a promising design philosophy that could effectively improve the overall user experience with personalized content retrieval services. Existing research mostly focused on a push-type design paradigm called proactive caching, which, however, has multiple inherent drawbacks such as high device cost and low energy efficiency. This paper proposes a novel, interactive joint content recommendation and delivery system as an alternative to overcome the drawbacks of proactive caching systems. We present several optimal and heuristic algorithms for the proposed system and analyze the system performance in terms of user interest and transmission outage probability. Some theoretical performance bounds of the system are also derived. The effectiveness of the proposed system and algorithms is validated by simulation results.
Highlights
Due to the rapid proliferation of content-centric applications and broadband mobile communication networks, content-retrieval service has become a major service that consumes a large portion of traffic on the mobile Internet
The tradeoff between total user interest and outage probability will be used as the performance evaluation framework
The performance of our algorithm is characterized by a smooth curve, in which user interest can be flexibly traded for outage probability
Summary
Due to the rapid proliferation of content-centric applications (e.g., social media websites) and broadband mobile communication networks, content-retrieval service has become a major service that consumes a large portion of traffic on the mobile Internet. Most studies on joint content recommendation and delivery in mobile communication networks fall into a category of technologies called proactive caching [8,9,10], which can recommend, push and cache contents of interest to the user devices according to the status of communications links. Apart from the push-type protocols, a few novel “pull-type” content retrieval protocols were recently reported in the literature [18,19,20,21,22] These studies mainly focused on how to use traffic pricing as an incentive to influence user behavior and achieve better performance in terms of load balancing [18,19,20]. To overcome the drawbacks of proactive caching, this paper introduces a novel pull-type joint content recommendation and delivery design for personalized content-retrieval services.
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