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Dive into the research topics where Karl-Heinz Lüke is active.

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Featured researches published by Karl-Heinz Lüke.


international conference on electronic commerce | 2011

InCarMusic: Context-Aware Music Recommendations in a Car

Linas Baltrunas; Marius Kaminskas; Bernd Ludwig; Omar Moling; Francesco Ricci; Aykan Aydin; Karl-Heinz Lüke; Roland Schwaiger

Context aware recommender systems (CARS) adapt to the specific situation in which the recommended item will be consumed. So, for instance, music recommendations while the user is traveling by car should take into account the current traffic condition or the driver’s mood. This requires the acquisition of ratings for items in several alternative contextual situations, to extract from this data the true dependency of the ratings on the contextual situation. In this paper, in order to simplify the in-context rating acquisition process, we consider the individual perceptions of the users about the influence of context on their decisions. We have elaborated a system design methodology where we assume that users can be requested to judge: a) if a contextual factor (e.g., the traffic state) is relevant for their decision making task, and b) how they would rate an item assuming that a certain contextual condition (e.g., traffic is chaotic) holds. Using these evaluations we show that it is possible to build an effective context-aware mobile recommender system.


international conference on intelligence in next generation networks | 2009

Context information as enhancement for mobile solutions and services

Gerald Eichler; Karl-Heinz Lüke; Britta Reufenheuser

People on the move have a grown need for real-time information and services anytime and anywhere. In many situations, travelers do not feel at ease and well informed when using public transport. Context information on mobile phones e.g., location and calendar data, can significantly improve the user experience in the current situation. The paper addresses an approach of service offering and usage on mobile phones. It focuses on a typical scenario in public transport that covers trip planning, mobile ticketing and service offering on the way. A general framework, classifying, supporting and analyzing user context information, including practical experiences from a mobile ticketing solution, will be introduced.


international conference on supercomputing | 2014

Student Interaction Communities social requirements reflected by a tool and system landscape

Gerald Eichler; Christian Erfurth; Karl-Heinz Lüke

What will the future learning and academic support environment look like for students? What are the resulting requirements for a suitable tool landscape? As an active member of different communities, students already use a set of tools especially for communication and networking purposes. Students do not stop the usage of their social tools within their universities. However, universities provide their own tools for students to be connected with the organization. Which tools are out of fashion? Which tool classes are needed? And how is the degree of integration to be achieved with common community tools and systems? This paper analyses requirements from the student point of view and discusses aspects for the integration into an academic IT infrastructure.


international conference on supercomputing | 2018

Innovation Management Methods in the Aviation Industry

Karl-Heinz Lüke; Johannes Walther; Daniel Wäldchen

Against the background of significant changes such as increased air traffic, fierce international competition as well as the radically changing political, technological and environmental conditions, the aviation industry keeps looking for product, process and business model innovations. As a result, the importance of efficient innovation management is growing rapidly. This paper discusses specific innovation methods which can be assigned to three cooperation fields: supplier, customer and in-house. The research project ascertains their particular implementation level in the aviation industry. The results are presented in this paper. One of the findings is the critical importance of Big Data as an explicit in-house innovation method. Its growing significance is a result of the enormous data volume increase, which is an exceptional challenge for the industry, nowadays and in the future. Consequently, a concept for a reference architecture is presented in this paper which will enable the aviation industry to cope with the challenges.


international conference on supercomputing | 2016

Potentials and Requirements of an Integrated Solution for a Connected Car

Karl-Heinz Lüke; Gerald Eichler; Christian Erfurth

Within our society, individuality, comfort and mobility play an important role for working, travelling and living environments. Especially with the connectivity of a car to its environment, e.g. sensors, the communication to another car, to infrastructure communication and provisioning of relevant information to driver, can be considered as valuable technology of the future. An integrated solution for a connected car can be used for a safe, intelligent and comfortable mobility. Although there are significant results from research projects concerning car-to-x, e.g. simTD, and other infotainment and entertainment projects available, an integrated concept that covers general technical requirements, the drivers’ needs and business aspects is hard to find on the market. Significant requirements derived from technical and market insights are evaluated. These findings reflect the introduction of an integrated architecture that covers car-to-x communication, info- and entertainment and IT-security aspects.


international conference on intelligence in next generation networks | 2013

Recommendation as a service (RaaS): New challenges for, and evaluation metrics of recommender systems

Gerald Eichler; Karl-Heinz Lüke

Advertisement turns into recommendation, web services become independent apps, and mobile devices enforce context awareness. Recommendation as a Service (RaaS) turns into an independent application-based business. By analyzing the trends, the paper introduces a multi-dimensional evaluation scheme to characterize recommender systems. The chart is applied to different research implementations, emphasizing their specifics. Requirements and trends for the future are derived.


A Quarterly Journal of Operations Research | 2007

Zur Entscheidungsunterstützung bei netzeffektbasierten Gütern

Karl-Heinz Lüke; Klaus Ambrosi; Felix Hahne

Fur marketingrelevante Fragestellungen und fur die strategische Bewertung von Technologiealternativen ist die Untersuchung des Diffusionsverlaufs bei Netzeffektgutern, wie z.B. Telekommunikationsdiensten, von hohem Interesse. Es wird ein Entscheidungsunterstutzungssystem vorgestellt, dass insbesondere Marketingvariable zur Ausgestaltung relevanter Merkmale von netzeffektbasierten Gutern unterstutzt. Ausgehend von dynamischen Nutzenfunktionen wird ein Modellansatz auf Grundlage der Mastergleichung der Physik bzw. den Mittelwertgleichungen vorgestellt, der Wechselwahrscheinlichkeiten zwischen den Produktalternativen ableitet. Die Anwendungsrelevanz des Modellansatzes wird durch entscheidungsrelevante What-If-Analysen verdeutlicht.


Archive | 2010

Best Usage Context Prediction for Music Tracks

Linas Baltrunas; Marius Kaminskas; Francesco Ricci; Lior Rokach; Bracha Shapira; Karl-Heinz Lüke


IICS | 2010

A Decision Tree Based Recommender System.

Amir Gershman; Amnon Meisels; Karl-Heinz Lüke; Lior Rokach; Alon Schclar; Arnon Sturm


IICS | 2009

Integrated Solutions and Services in Public Transport on Mobile Devices.

Karl-Heinz Lüke; Holger Mügge; Matthias Eisemann; Anke Telschow

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Lior Rokach

Ben-Gurion University of the Negev

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Klaus Ambrosi

University of Hildesheim

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Francesco Ricci

Free University of Bozen-Bolzano

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Marius Kaminskas

Free University of Bozen-Bolzano

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Bernd Ludwig

University of Regensburg

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