Agents that reduce work and information overload
Communications of the ACM
Comparative Models of the File Assignment Problem
ACM Computing Surveys (CSUR)
Methods and metrics for cold-start recommendations
SIGIR '02 Proceedings of the 25th annual international ACM SIGIR conference on Research and development in information retrieval
Applications of Video-Content Analysis and Retrieval
IEEE MultiMedia
Dynamic Replica Placement for Scalable Content Delivery
IPTPS '01 Revised Papers from the First International Workshop on Peer-to-Peer Systems
Dynamic Replica Placement in Content Delivery Networks
MASCOTS '05 Proceedings of the 13th IEEE International Symposium on Modeling, Analysis, and Simulation of Computer and Telecommunication Systems
The adaptive web: methods and strategies of web personalization
The adaptive web: methods and strategies of web personalization
Recommender Systems Handbook
Decentralized mediation of user models for a better personalization
AH'06 Proceedings of the 4th international conference on Adaptive Hypermedia and Adaptive Web-Based Systems
YouTube around the world: geographic popularity of videos
Proceedings of the 21st international conference on World Wide Web
Content and geographical locality in user-generated content sharing systems
Proceedings of the 22nd international workshop on Network and Operating System Support for Digital Audio and Video
Modeling content delivery networks and their performance
Computer Communications
Watching videos from everywhere: a study of the PPTV mobile VoD system
Proceedings of the 2012 ACM conference on Internet measurement conference
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During the last decade, we have witnessed a substantial change in content delivery networks (CDNs) and user access paradigms. If previously, users consumed content from a central server through their personal computers, nowadays they can reach a wide variety of repositories from virtually everywhere using mobile devices. This results in a considerable time-, location-, and event-based volatility of content popularity. In such a context, it is imperative for CDNs to put in place adaptive content management strategies, thus, improving the quality of services provided to users and decreasing the costs. In this paper, we introduce predictive content distribution strategies inspired by methods developed in the Recommender Systems area. Specifically, we outline different content placement strategies based on the observed user consumption patterns, and advocate their applicability in the state of the art CDNs.