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- editorialIntroduction to Special Issue on User-Centred Recommender Systems(i-com: Vol. 14, No. 1, 2015) Gross, Tom; Ziegler, Jürgen
- ZeitschriftenartikelDeveloping Intranet Strategy: An Interdisciplinary Building Block Model(i-com: Vol. 14, No. 1, 2015) Riemke-Gurzki, ThorstenIntranets became the central platform for internal corporate communication, business processes and information technology in the last decade. This huge application scope leads to severe project traps: How can a corporate-wide, interdisciplinary intranet strategy be developed, established and maintained? This article shows the challenges and potential problems for the development of an intranet strategy. It introduces a building block model for intranet strategy. The model includes strategic dimensions as well as cultural aspects and project scope.
- KonferenzbeitragOn the Importance of Subtext in Recommender Systems(i-com: Vol. 14, No. 1, 2015) Grasch, Peter; Felfernig, AlexanderConversational recommender systems have been shown capable of allowing users to navigate even complex and unknown application domains effectively. However, optimizing preference elicitation remains a largely unsolved problem. In this paper we introduce SPEECHREC, a speech-enabled, knowledge-based recommender system, that engages the user in a natural-language dialog, identifying not only purely factual constraints from the users’ input, but also integrating nuanced lexical qualifiers and paralinguistic information into the recommendation strategy. In order to assess the viability of this concept, we present the results of an empirical study where we compare SPEECHREC to a traditional knowledge-based recommender system and show how incorporating more granular user preferences in the recommendation strategy can increase recommendation quality, while reducing median session length by 46 %.
- KonferenzbeitragMerging Interactive Information Filtering and Recommender Algorithms – Model and Concept Demonstrator(i-com: Vol. 14, No. 1, 2015) Loepp, Benedikt; Herrmanny, Katja; Ziegler, JürgenTo increase controllability and transparency in recommender systems, recent research has been putting more focus on integrating interactive techniques with recommender algorithms. In this paper, we propose a model of interactive recommending that structures the different interactions users can have with recommender systems. Furthermore, as a novel approach to interactive recommending, we describe a technique that combines faceted information filtering with different algorithmic recommender techniques. We refer to this approach as blended recommending. We also present an interactive movie recommender based on this approach and report on its user-centered design process, in particular an evaluation study in which we compared our system with a standard faceted filtering system. The results indicate a higher level of perceived user control, more detailed preference settings, and better suitability when the search goal is vague.
- ZeitschriftenartikelNo Success without Purpose(i-com: Vol. 14, No. 1, 2015) Gumm, DorinaThe purpose an organisation attaches to its intranet should be the starting point for justifying an intranet project, defining use cases and ultimately being able to measure its success. An intranet's prospects for success are best when it is perceived as a tool for operations management. This is one of the core findings of the “KlinikNet 2.0” project chosen by hospital directors as one of five “IT Key Topics” in 2014.
- editorialEditorial(i-com: Vol. 14, No. 1, 2015) Ziegler, Jürgen
- ZeitschriftenartikelSocial Collaboration: Overcoming Inhibitions with Communication(i-com: Vol. 14, No. 1, 2015) Chaudhuri, OliverEmployee empowerment is at least as important as a high level of usability for the acceptance and successful implementation of a new Intranet or social collaboration platforms – especially in view of the media skepticism in middle management and among middle-aged executives. Strategic communication is the key to driving cultural change in companies and successfully introducing new forms of collaboration.
- ZeitschriftenartikelNo More Battles – User-centric Approaches as Key to Successful Intranets(i-com: Vol. 14, No. 1, 2015) Wagner, Anne ChristineIn the short history of intranets a lot of IT-centric paradigms have been prevailing (tool choice, architectural questions, overall IT strategy). The emergence of intranet paradigms, referred to as Web2.0, as well as changed user expectations due to consumerization and high adaption of mobile devices challenge the traditionally technology-driven approach in enterprises: Today, users realize that there is more to claim and fight for. This article introduces approaches that start from the practitioner's perspective and help to align users, IT and strategic stakeholders with the purpose of forming an alliance between them and of finding the scope and design that fits all requirements.
- ZeitschriftenartikelCall for a Holistic Approach to the Use of Social Intranets(i-com: Vol. 14, No. 1, 2015) Kolb, GeorgThere are high expectations on what social intranets can do for productivity. However, there is still a large gap between promise and delivery, mainly caused by a misunderstanding of the user perspective. Usability of social intranets needs to be redefined in a holistic way, integrating the four dimensions of business, culture, technology and communication. And we need to build this integration into the workflow of social intranet teams by establishing a cross-functional body steering the project.
- KonferenzbeitragItem Familiarity as a Possible Confounding Factor in User-Centric Recommender Systems Evaluation(i-com: Vol. 14, No. 1, 2015) Jannach, Dietmar; Lerche, Lukas; Jugovac, MichaelUser studies play an important role in academic research in the field of recommender systems as they allow us to assess quality factors other than the predictive accuracy of the underlying algorithms. User satisfaction is one such factor that is often evaluated in laboratory settings and in many experimental designs one task of the participants is to assess the suitability of the system-generated recommendations. The effort required by the user to make such an assessment can, however, depend on the user’s familiarity with the presented items and directly impact on the reported user satisfaction. In this paper, we report the results of a preliminary recommender systems user study using Mechanical Turk, which indicates that item familiarity is strongly correlated with overall satisfaction.