000 Informatik, Wissen, Systeme
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Heattile, a new method for heatmap implementations for mobile web-based cartographic applications
(2014)
Mobile handheld computing devices are becoming a more important part of our digital infrastructure. Web-based map services and visualisations for spatial data are being optimised for use on these new mobile devices. Despite the fast development of mobile devices, compared to laptop and desktop computers they remain slower in terms of processing power and have limited memory capacity. Bandwidth in most areas is still limited, regardless of the fast expansion of high-speed internet for mobile devices. To overcome these two limitations an improvement in existing spatial data visualisations is necessary. This chapter compares existing methods and presents a new approach to generating and delivering web-based heat map visualisations for spatial data that is optimised for mobile devices.
Context-aware information is widely available in various ways and is becoming more and more important for enhancing retrieval performance and recommendation results. The current main issue to cope with is not only recommending or retrieving the most relevant items and content, but defining them ad hoc. Other relevant issues include personalizing and adapting the information and the way it is displayed to the user’s current situation and interests. Ubiquitous computing further provides new means for capturing user feedback on items and providing information.
Context-aware information is widely available in various ways and is becoming more and more important for enhancing retrieval performance and recommendation results. The current main issue to cope with is not only recommending or retrieving the most relevant items and content, but defining them ad hoc. Other relevant issues include personalizing and adapting the information and the way it is displayed to the user's current situation and interests.
The workshop on Context-awareness in Retrieval and Recommendation is a forum for research on context-awareness in information retrieval, recommender systems and human computer interaction. The fourth iteration of the workshop was organized in conjunction to the 36th European Conference on Information Retrieval in Amsterdam, The Netherlands.
The Reason Why
(2014)
Recommender Systems refer to those applications that offer contents or items to the users, based on their previous activity. These systems are broadly used in several fields and applications, being common that an user interact with several recommender systems during his daily activities. However, most of these systems are black boxes which users really don’t understand how to work. This lack of transparency often causes the distrust of the users. A suitable solution is to offer explanations to the user about why the system is offering such recommendations. This work deals with the problem of retrieving and evaluating explanations based on hybrid recommenders. These explanations are meant to improve the perceived recommendation quality from the user’s perspective. Along with recommended items, explanations are presented to the user to underline the quality of the recommendation. Hybrid recommenders should express relevance by providing reasons speaking for a recommended item. In this work we present an attribute explanation retrieval approach to provide these reasons and show how to evaluate such approaches. Therefore, we set up an online user study where users were asked to provide movie feedback. For each rated movie we additionally retrieved feedback about the reasons this movie was liked or disliked. With this data, explanation retrieval can be studied in general, but it can also be used to evaluate such explanations.
Cloud-Computing ist charakterisiert durch die gemeinsame netzbasierte Nutzung physischer Ressourcen und deren unmittelbare und bedarfsgerechte Anpassung durch den Nutzer. Eine Zentralisierung von Archivspeicher-Kapazitäten und Dienstleistungen ist aktuell auch in der digitalen Langzeitarchivierung zu beobachten, zum Beispiel durch den Aufbau digitaler Magazine auf Landesebene bzw. in den Nationalbibliotheken oder im Rahmen der Deutschen Digitalen Bibliothek. Diese Ressourcen sind in der Regel auch durch kleinere Institutionen und Einrichtungen ohne eigene technische Infrastruktur nutzbar. Nichtöffentliche Cloud-basierte IT-Lösungen eignen sich besonders für die digitale Archivierung in Wirtschaftsunternehmen. Eine derartige OAlS-konforme Externalisierung des digitalen
Archivspeichers ist einerseits flexibel und kostengünstig, erfordert aber auf der anderen Seite neue organisatorische, technische und rechtliche Ansätze der archivischen Praxis. Cloud-basierte Lösungen bieten neue, leistungsfähige flexible IT-Dienste und Ressourcen auf allen Ebenen : Hardware, Software, Anwendungsentwicklung. Cloud-basierte Lösungen entlasten damit die Archivarbeit durch die Bereitstellung sicherer und skalierbarer Archivspeicher und reduzieren so den Kostenaufwand. Der Einsatz Cloud-basierter Lösungen führt auf der einen Seite zu einer Zentralisierung der Daten und Dienste und auf der anderen Seite zu einer Dezentralisierung der Anwendungen und Nutzung mit entsprechenden Konsequenzen für die digitale Archivierung.