On user-centric tools for QoE-based recommendation and real-time analysis of large-scale markets
2014
This article focuses on mechanisms that empower users with quality of experience recommendations and smart real-time analytics. It presents a user-centric recommendation system (called u-map) that enables users to collect network measurements and subjective opinion scores about the performance of various services. It also cross-correlates measurements obtained by u-map to provide geo-statistics, user profiles, and quality of experience prediction models for different services. The article also presents CoRLAB, a modular multi-layer framework for modeling and assessing various markets, services, and their evolution under a diverse set of customer populations and conditions. U-map feeds CoRLAB with user measurements and feedback in (semi) real-time. The article discusses how u-map and CoRLAB have been used to analyze telecommunication markets and services. It highlights the main research results, challenges, and potential research directions.
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