Dokument: Expert Recommendation for the Academic Field
| Titel: | Expert Recommendation for the Academic Field | |||||||
| Weiterer Titel: | Expert Recommendation for the Academic Field | |||||||
| URL für Lesezeichen: | https://docserv.uni-duesseldorf.de/servlets/DocumentServlet?id=38963 | |||||||
| URN (NBN): | urn:nbn:de:hbz:061-20160719-165455-7 | |||||||
| Kollektion: | Dissertationen | |||||||
| Sprache: | Englisch | |||||||
| Dokumententyp: | Wissenschaftliche Abschlussarbeiten » Dissertation | |||||||
| Medientyp: | Text | |||||||
| Autor: | Heck, Tamara [Autor] | |||||||
| Dateien: |
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| Beitragende: | Prof. Dr. Stock, Wolfgang G. [Betreuer/Doktorvater] Prof. Dr. Peters, Isabella [Gutachter] | |||||||
| Stichwörter: | Expertenempfehlung, Autorenempfehlungen, author recommendation, expert recommendation, author relations, author networks, recommender system, community of practice, social information, scientometrics, citations analysis | |||||||
| Dokumententyp (erweitert): | Dissertation | |||||||
| Dewey Dezimal-Klassifikation: | 000 Informatik, Informationswissenschaft, allgemeine Werke » 020 Bibliotheks- und Informationswissenschaften 000 Informatik, Informationswissenschaft, allgemeine Werke | |||||||
| Beschreibung: | Collaboration and communication are the basis of a researcher’s scientific craft. New developments and techniques seem to make them easier. The Web 2.0 offers new opportunities to share and exchange resources. But these do not come as a matter of course. A big challenge is the problem of information overload. Recommendation systems can help researchers finding communication and collaboration partners. Using the right information, filtering it and applying it depending on a researcher’s need is within the scope of this work, which concentrates on the task to find relevant peers in the academic field – not just any who happen to be available but the “right” ones. It investigates the scientific environment and relations between researchers to support scientists in finding their peers and foster communication and collaboration.
The work is organized in four main chapters: Chapter 1 discusses the general perception of collaboration and communication among researchers and introduces a broader view on this aspect. Considering the cultivation of communities of practice, chapter 2 discusses the expansion of a researcher’s perspectives regarding his or her scientific network. Expanding perspectives is essential to foster broader collaboration as it offers new opportunities for researchers to find appropriate peers. Chapter 3 introduces the recommender system task and gives an overview of recommender approaches with a focus on collaborative filtering concepts and expert recommendation in tagging systems. Chapter 4 focuses on the case studies. The main study is preceded by two pre-studies analyzing social bookmarking data structure as well as similarity metrics, and conducting first evaluation cases. The first pre-study discusses the structure of bookmarking data and the difference of similarity metrics regarding user recommendation. The second pre-study includes a first user evaluation of researcher recommendations based in first approaches on social information about researchers. Finally, the findings in these studies are then brought together in the main case study, which carries out the model for expert recommendation proposed in this work. | |||||||
| Lizenz: |  Urheberrechtsschutz | |||||||
| Fachbereich / Einrichtung: | Philosophische Fakultät » Institut für Sprache und Information » Informationswissenschaft | |||||||
| Dokument erstellt am: | 19.07.2016 | |||||||
| Dateien geändert am: | 19.07.2016 | |||||||
| Promotionsantrag am: | 11.06.2015 | |||||||
| Datum der Promotion: | 08.07.2015 |
