A machine learning approach for solving the frozen user cold-start problem in personalized mobile advertising systems

I Viktoratos, A Tsadiras - Algorithms, 2022 - mdpi.com
A domain that has gained popularity in the past few years is personalized advertisement.
Researchers and developers collect user contextual attributes (eg, location, time, history …

Classification vs. regression-machine learning approaches for service recommendation based on measured consumer experiences

J Kirchner, A Heberle, W Löwe - 2015 IEEE World Congress on …, 2015 - ieeexplore.ieee.org
Service functionality can be provided by more than one service consumer. In order to
choose the service which creates the most benefit before its consumption, a selection based …

Evaluation of the employment of machine learning approaches and strategies for service recommendation

J Kirchner, A Heberle, W Löwe - … 2015, Taormina, Italy, September 15-17 …, 2015 - Springer
Abstract Service functionality can be provided by more than one service consumer. In order
to choose the service with the highest benefit, a selection based on previously measured …

[PDF][PDF] Service recommendation using machine learning methods based on measured consumer experiences within a service market

J Kirchner, A Heberle, W Löwe - Int. J. Adv. Intell. Syst, 2015 - 72.52.166.99
Among functionally similar services, service consumers are interested in the consumption of
the service that performs best towards their optimization preferences. The experienced …

Context-Aware Optimized Service Selection with Focus on Consumer Preferences

J Kirchner - 2016 - diva-portal.org
Cloud computing, mobile computing, Service-Oriented Computing (SOC), and Software as a
Service (SaaS) indicate that the Internet emerges to an anonymous service market where …