面向移动通信网络的机会性内容推荐算法研究
Research on Opportunistic Content Recommendation Algorithm for Mobile Communication Network
Abstract
互联网呈现媒体化和移动化两个显著发展趋势,这导致人们面向内容的流量需求急剧增长。因此能同时应对移动网络媒体化和移动化的移动内容分发网络(MobileContentDeliveryNetwork简称MobileCDN)的重要性日益突出。另一方面,受未来基站密集化、小型化的发展趋势以及移动流量使用时空上分布不均等影响,无线接入网络存在大量冗余资源。如何合理利用该部分冗余资源也成为业界研究的热点。 本文基于互联网媒体化和移动化的发展趋势,提出了一种新型的基于移动网络冗余资源的机会性内容推荐方案。该方案把内容推荐系统与移动网络的冗余容量感知相结合,实现基于本地冗余资源的机会性内容推荐。我们的方案利用... Since media and mobilization are two notable trends in contemporary Internet development, the demand for content in mobile communication network growth rapidly. So the importance of the MCDN (Mobile Content Delivery Network) is becoming increasingly prominent, which can cater the trends of the internet simultaneously. On the other hand, there are a lot of redundant resources in the wireless access...