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This paper presents a conceptual framework for building a recommendation engine for use in the ubiquitous consumer wireless world (UCWW). The framework is based on the Lambda Architecture and as such provides real-time recommendations at the speed layer and off-time analytical operations at the batch layer. Moreover, at the speed layer, a root server is used for updating the real-time recommendation...
A distributed cloud-based service recommendation system, used to discover and suggest to mobile users (consumers) the ‘best’ mobile services in the emerging ubiquitous consumer wireless world (UCWW), is described. The system - built with Hadoop, Storm, and Kafka - will allow consumers to receive timely recommendations about the ‘best’ instances of mobile services, they are interested in, anywhere-anytime-anyhow.
This paper describes the design and implementation of a cloud-based service recommendation system used to discover and suggest to users the ‘best’ mobile services in the emerging ubiquitous consumer wireless world (UCWW). With this distributed system, the UCWW cloud provider collects user behavior (e.g., Internet logs, web browsing, searching for services, participation in social networks, online...
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